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msmarco_v2.1_doc_01_1668247569#1_2446307433 | http://intellspot.com/data-mining-companies/ | Top Data Mining Companies: List of Software And Service Providers | Top Data Mining and Data Analytics Companies
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| What is data a mining company? Types of products and services. List of the best data mining software companies. List of the best data mining and data analytics consulting providers. What is a data mining company? It is a company that performs processes of analyzing data and then converting it into valuable insights that are basics for business decisions. The key purpose is to discover important data patterns and trends and to transform big data into effective management solutions. For example, a data mining service provider is able to determine relationships between price, product, customer age, and more. It enables businesses to uncover the impact on sales and profits. That’s why data mining can open many doors to success, increased customer satisfaction, and competitive advantages. | 587 | 1,382 |
msmarco_v2.1_doc_01_1668247569#2_2446308748 | http://intellspot.com/data-mining-companies/ | Top Data Mining Companies: List of Software And Service Providers | Top Data Mining and Data Analytics Companies
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| It is a company that performs processes of analyzing data and then converting it into valuable insights that are basics for business decisions. The key purpose is to discover important data patterns and trends and to transform big data into effective management solutions. For example, a data mining service provider is able to determine relationships between price, product, customer age, and more. It enables businesses to uncover the impact on sales and profits. That’s why data mining can open many doors to success, increased customer satisfaction, and competitive advantages. Types of data mining companies
Generally, there are two key types of data mining companies depending on the services and products they provide: Software Companies in Data Mining and Analytics
Those are companies that provide a variety of software products that help companies discover patterns and trends in big data volumes, convert those into actionable solutions, and even predict possible outcomes. Such products are: predictive analytics software, marketing intelligence tools, data visualization software, content analysis software, machine learning suits, and etc. For the purpose, these software products use specific data algorithms, machine learning, artificial intelligence, and different types of statistical analysis. | 800 | 2,113 |
msmarco_v2.1_doc_01_1668247569#3_2446310583 | http://intellspot.com/data-mining-companies/ | Top Data Mining Companies: List of Software And Service Providers | Top Data Mining and Data Analytics Companies
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| Types of data mining companies
Generally, there are two key types of data mining companies depending on the services and products they provide: Software Companies in Data Mining and Analytics
Those are companies that provide a variety of software products that help companies discover patterns and trends in big data volumes, convert those into actionable solutions, and even predict possible outcomes. Such products are: predictive analytics software, marketing intelligence tools, data visualization software, content analysis software, machine learning suits, and etc. For the purpose, these software products use specific data algorithms, machine learning, artificial intelligence, and different types of statistical analysis. Consulting Companies in Data Mining, Analytics, and Data Science
Not every business has data science specialists who can handle the above software solutions. In many cases, those businesses need to use outsourced services. This is where consulting companies in data mining come to play. The consulting companies offer experts who provide their in-depth knowledge and expertise in big data technology, methodology, and analytics. People with high data scientist skills and talent can leverage the technologies and software products to perform effective data mining activities that bring the difference to your business. | 1,382 | 2,732 |
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| Consulting Companies in Data Mining, Analytics, and Data Science
Not every business has data science specialists who can handle the above software solutions. In many cases, those businesses need to use outsourced services. This is where consulting companies in data mining come to play. The consulting companies offer experts who provide their in-depth knowledge and expertise in big data technology, methodology, and analytics. People with high data scientist skills and talent can leverage the technologies and software products to perform effective data mining activities that bring the difference to your business. Top Data Mining Software Companies: List
In order to help you choose the right software solution, we’ve listed some of the top data mining software companies you can consider. 1. Sisense
When it comes to biggest data mining software companies, Sisense’s has a top place here. They are quite popular with their analytics software that allows every user to seamlessly discover meaningful business insights. | 2,113 | 3,137 |
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| Top Data Mining Software Companies: List
In order to help you choose the right software solution, we’ve listed some of the top data mining software companies you can consider. 1. Sisense
When it comes to biggest data mining software companies, Sisense’s has a top place here. They are quite popular with their analytics software that allows every user to seamlessly discover meaningful business insights. Designed for non-technical users with a great simplicity, Sisense software is one of the first data analytics tools to provide a single-stack solution. With a drag and drop functionality, you can present beautiful visual reports, create bar graph, line charts, pie charts, scatter plots, and any other types of graphs. Locations: offices in New York ( The USA), Ramat Gan (Israel), Arizona (The USA)
Some of their clients: Hewlett Packard, Philips, Accenture, Fujitsu, Nasdaq, and many others. | 2,732 | 3,631 |
msmarco_v2.1_doc_01_1668247569#6_2446315433 | http://intellspot.com/data-mining-companies/ | Top Data Mining Companies: List of Software And Service Providers | Top Data Mining and Data Analytics Companies
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| Designed for non-technical users with a great simplicity, Sisense software is one of the first data analytics tools to provide a single-stack solution. With a drag and drop functionality, you can present beautiful visual reports, create bar graph, line charts, pie charts, scatter plots, and any other types of graphs. Locations: offices in New York ( The USA), Ramat Gan (Israel), Arizona (The USA)
Some of their clients: Hewlett Packard, Philips, Accenture, Fujitsu, Nasdaq, and many others. Industries: digital marketing, enterprise, finance, credit card, healthcare, logistics, e-commerce, technology, travel & hospitality. Website: www.sisense.co
2. Oracle Data Mining
Oracle Data Mining (ODM) offers powerful data mining algorithms that allow data analysts to uncover meaningful insights and make predictions. | 3,137 | 3,953 |
msmarco_v2.1_doc_01_1668247569#7_2446316768 | http://intellspot.com/data-mining-companies/ | Top Data Mining Companies: List of Software And Service Providers | Top Data Mining and Data Analytics Companies
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| Industries: digital marketing, enterprise, finance, credit card, healthcare, logistics, e-commerce, technology, travel & hospitality. Website: www.sisense.co
2. Oracle Data Mining
Oracle Data Mining (ODM) offers powerful data mining algorithms that allow data analysts to uncover meaningful insights and make predictions. In short, with the help of ODM, you can target your best customers, predict customer behavior, create customer profiles, detect different anomalies, and spot new selling opportunities. ODM is a part of the Oracle Advanced Analytics Database Option which is used by a lot of market leader companies to maximize the benefits of their data. Locations: has a global presence with contacts in the USA, Europe, Africa, the Middle East, and the Asia Pacific. World Headquarters: | 3,631 | 4,425 |
msmarco_v2.1_doc_01_1668247569#8_2446318080 | http://intellspot.com/data-mining-companies/ | Top Data Mining Companies: List of Software And Service Providers | Top Data Mining and Data Analytics Companies
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| In short, with the help of ODM, you can target your best customers, predict customer behavior, create customer profiles, detect different anomalies, and spot new selling opportunities. ODM is a part of the Oracle Advanced Analytics Database Option which is used by a lot of market leader companies to maximize the benefits of their data. Locations: has a global presence with contacts in the USA, Europe, Africa, the Middle East, and the Asia Pacific. World Headquarters: Redwood Shores, CA
Some of their clients: DHL, Home Depot, UK’s National Health System, Dunkin Brands, Argonne National Laboratories, and many others. Industries: retail, banking, higher education, healthcare, insurance, life sciences, telecommunications, manufacturing, public sector, automotive, chemical, utilities. Website: | 3,953 | 4,753 |
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| Redwood Shores, CA
Some of their clients: DHL, Home Depot, UK’s National Health System, Dunkin Brands, Argonne National Laboratories, and many others. Industries: retail, banking, higher education, healthcare, insurance, life sciences, telecommunications, manufacturing, public sector, automotive, chemical, utilities. Website: https://www.oracle.com/
3. IBM Cognos
IBM Cognos is a great opportunity for business users who want to effortlessly create compelling reports, visualizations, and dashboards. It is a business intelligence self-service analytics solution with powerful reporting and data analytics capabilities. With IBM Cognos Analytics, you have interactive dashboards, enterprise scalability, scheduling, and sharing features as well as stunning custom visualizations. The software provides a broad range of analysis tools, such as advanced analysis, trend analysis, and analytical reporting. | 4,426 | 5,331 |
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| https://www.oracle.com/
3. IBM Cognos
IBM Cognos is a great opportunity for business users who want to effortlessly create compelling reports, visualizations, and dashboards. It is a business intelligence self-service analytics solution with powerful reporting and data analytics capabilities. With IBM Cognos Analytics, you have interactive dashboards, enterprise scalability, scheduling, and sharing features as well as stunning custom visualizations. The software provides a broad range of analysis tools, such as advanced analysis, trend analysis, and analytical reporting. They allow you to discover information that may not be obvious or expected. Locations: worldwide contacts
Some of their clients: American Airlines, Medtronic, Brownells, Magellan Health, Boston Beer Company, and many others. Industries: | 4,754 | 5,568 |
msmarco_v2.1_doc_01_1668247569#11_2446322167 | http://intellspot.com/data-mining-companies/ | Top Data Mining Companies: List of Software And Service Providers | Top Data Mining and Data Analytics Companies
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| They allow you to discover information that may not be obvious or expected. Locations: worldwide contacts
Some of their clients: American Airlines, Medtronic, Brownells, Magellan Health, Boston Beer Company, and many others. Industries: travel and transportation, public, retail, financial services, communications, computer services, and many others. Website: https://www.ibm.com
4. DOMO
DOMO is а perfect solution for any types of data-driven business needs. It is a user-friendly system that extracts actionable insights from all types of data and sources. | 5,332 | 5,891 |
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| travel and transportation, public, retail, financial services, communications, computer services, and many others. Website: https://www.ibm.com
4. DOMO
DOMO is а perfect solution for any types of data-driven business needs. It is a user-friendly system that extracts actionable insights from all types of data and sources. The best part is that you can use DOMO without any training. Non-technical users can cleanse and combine data from anywhere – no coding required. In addition, DOMO provides an incredible set of real-time social collaboration capabilities. DOMO is a business management suite that pulls from everywhere, integrates everything, and connects everyone while putting all of a business’s data to work for driving valuable insights. Locations: | 5,569 | 6,328 |
msmarco_v2.1_doc_01_1668247569#13_2446324546 | http://intellspot.com/data-mining-companies/ | Top Data Mining Companies: List of Software And Service Providers | Top Data Mining and Data Analytics Companies
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| The best part is that you can use DOMO without any training. Non-technical users can cleanse and combine data from anywhere – no coding required. In addition, DOMO provides an incredible set of real-time social collaboration capabilities. DOMO is a business management suite that pulls from everywhere, integrates everything, and connects everyone while putting all of a business’s data to work for driving valuable insights. Locations: Headquarters – American Fork (HQ) the United States, and an office in London, UK
Some of their clients: Mastercard, eBay, DHL, National Geographic, Telus. Industries: education, financial services, credit card, healthcare, high tech, hospitality, manufacturing, media and entertainment, professional services, transportation, retail, e-commerce. Website: | 5,891 | 6,683 |
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| Headquarters – American Fork (HQ) the United States, and an office in London, UK
Some of their clients: Mastercard, eBay, DHL, National Geographic, Telus. Industries: education, financial services, credit card, healthcare, high tech, hospitality, manufacturing, media and entertainment, professional services, transportation, retail, e-commerce. Website: www.domo.com
5. RapidMiner
We cannot talk about the best data mining companies, without placing RapidMiner in the top positions. RapidMiner is an integrated platform dedicated to machine learning and text mining algorithms that unifies the entire data science life cycle from data prep to model deployment. Created on an open source model, RapidMiner is one of the best data mining and predictive analytics software available on the market. More than 30000 global organizations use the RapidMiner solutions to drive revenue, reduce costs, discover new opportunities, and avoid risks. | 6,329 | 7,267 |
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| www.domo.com
5. RapidMiner
We cannot talk about the best data mining companies, without placing RapidMiner in the top positions. RapidMiner is an integrated platform dedicated to machine learning and text mining algorithms that unifies the entire data science life cycle from data prep to model deployment. Created on an open source model, RapidMiner is one of the best data mining and predictive analytics software available on the market. More than 30000 global organizations use the RapidMiner solutions to drive revenue, reduce costs, discover new opportunities, and avoid risks. Locations: Headquarters – Boston, MA (the USA), office in London (United Kingdom), office in Dortmund (Germany), and office Budapest (Hungary). Some of their clients: Barclays, BMW, CISCO, Sanofi, Transport for London, and many others. Industries: | 6,684 | 7,515 |
msmarco_v2.1_doc_01_1668247569#16_2446328691 | http://intellspot.com/data-mining-companies/ | Top Data Mining Companies: List of Software And Service Providers | Top Data Mining and Data Analytics Companies
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| Locations: Headquarters – Boston, MA (the USA), office in London (United Kingdom), office in Dortmund (Germany), and office Budapest (Hungary). Some of their clients: Barclays, BMW, CISCO, Sanofi, Transport for London, and many others. Industries: automotive, banking, consumer goods, energy,
the Government, healthcare, insurance, life science, manufacturing, retail, telecommunications, travel. Website: https://rapidminer.com
6. KNIME Analytics Platform
KNIME is an open data analysis software platform for data-driven innovation, discovering the hidden data potential, mining for actionable insights, and predicting the new opportunities/risks. It combines components for machine learning and data mining and also provides an intuitive, drag and drop style graphical interface. | 7,267 | 8,049 |
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| automotive, banking, consumer goods, energy,
the Government, healthcare, insurance, life science, manufacturing, retail, telecommunications, travel. Website: https://rapidminer.com
6. KNIME Analytics Platform
KNIME is an open data analysis software platform for data-driven innovation, discovering the hidden data potential, mining for actionable insights, and predicting the new opportunities/risks. It combines components for machine learning and data mining and also provides an intuitive, drag and drop style graphical interface. KNIME has an impressive worldwide community of data scientists in over 60 countries. The users have been working with the platform on every type of data: from numerical data to images, molecules to humans, and simple statistics to big data analysis methods. With its more than 1 000 additional extensions, ready-to-use examples, collaboration, productivity, and algorithms, KNIME holds thousands of dedicated users all over the world. Locations: | 7,516 | 8,495 |
msmarco_v2.1_doc_01_1668247569#18_2446331498 | http://intellspot.com/data-mining-companies/ | Top Data Mining Companies: List of Software And Service Providers | Top Data Mining and Data Analytics Companies
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| KNIME has an impressive worldwide community of data scientists in over 60 countries. The users have been working with the platform on every type of data: from numerical data to images, molecules to humans, and simple statistics to big data analysis methods. With its more than 1 000 additional extensions, ready-to-use examples, collaboration, productivity, and algorithms, KNIME holds thousands of dedicated users all over the world. Locations: headquarters based in Zurich ( Switzerland ), with offices in Konstanz and Berlin (Germany) and office in Austin, TX, (The USA). Some of their clients: Tyler Technologies, Procter & Gamble, Sanofi, Verizon, The University of Hamburg
Industries: customer intelligence, social media intelligence, finance, credit card, manufacturing, the pharmaceutical industry, healthcare, retail, Government, cross industry. Website: | 8,049 | 8,913 |
msmarco_v2.1_doc_01_1668247569#19_2446332880 | http://intellspot.com/data-mining-companies/ | Top Data Mining Companies: List of Software And Service Providers | Top Data Mining and Data Analytics Companies
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| headquarters based in Zurich ( Switzerland ), with offices in Konstanz and Berlin (Germany) and office in Austin, TX, (The USA). Some of their clients: Tyler Technologies, Procter & Gamble, Sanofi, Verizon, The University of Hamburg
Industries: customer intelligence, social media intelligence, finance, credit card, manufacturing, the pharmaceutical industry, healthcare, retail, Government, cross industry. Website: www.knime.com
7. Orange Data Mining
Orange is one of the most popular data mining companies when it comes to simple data analysis and clever data visualization. Orange provides open source machine learning and data visualization for newbies as well as for experts. One of the greatest Orange parts is the amazing interactive data visualization that allows you to easily understand and explore statistical distributions, box plots, scatter plot, decision trees, hierarchical clustering, and etc. Visual programming is also a spectacular feature that offers interactive data exploration for rapid qualitative analysis with clean visualizations. | 8,496 | 9,556 |
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| www.knime.com
7. Orange Data Mining
Orange is one of the most popular data mining companies when it comes to simple data analysis and clever data visualization. Orange provides open source machine learning and data visualization for newbies as well as for experts. One of the greatest Orange parts is the amazing interactive data visualization that allows you to easily understand and explore statistical distributions, box plots, scatter plot, decision trees, hierarchical clustering, and etc. Visual programming is also a spectacular feature that offers interactive data exploration for rapid qualitative analysis with clean visualizations. Locations: The main vendor – University of Ljubljana, Slovenia
Some of their clients: Used at schools, universities, professional training courses, and businesses across the world. Industries: social sciences, business, healthcare, finance, sciences
Website: | 8,914 | 9,815 |
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| Locations: The main vendor – University of Ljubljana, Slovenia
Some of their clients: Used at schools, universities, professional training courses, and businesses across the world. Industries: social sciences, business, healthcare, finance, sciences
Website: https://orange.biolab.si
8. Dundas BI
Dundas BI is one of those data mining software solutions that provides you with full control over your data so you can quickly get actionable insi | 9,556 | 10,000 |
msmarco_v2.1_doc_01_1668264888#0_2446336860 | http://intellspot.com/data-profiling-tools/ | Best Data Profiling Tools and Software Solutions: List | 5 Best Data Profiling Tools and Software Solutions
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| Best Data Profiling Tools and Software Solutions: List
5 Best Data Profiling Tools and Software Solutions
If you want to accomplish a successful project your data should not be compromised. Using data profiling tools into your big data sources, helps you to create a deep insight into the quality of your data. Nowadays there is a comprehensive range of good data profiling software solutions (even free for download) – such as the ETL and business intelligence software with built in data profilers or stand-alone data profiling solutions. All of them allow you to find data issues before they become bigger data problems. An accurate picture of your data has crucial benefits for your business such as providing management with needed information to make strategic decisions or allowing your IT team to build a reliable big data warehouse. On this page: What is data profiling? Definition and meaning. List of the best data profiling tools and software solutions (and one free tool). | 0 | 985 |
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| An accurate picture of your data has crucial benefits for your business such as providing management with needed information to make strategic decisions or allowing your IT team to build a reliable big data warehouse. On this page: What is data profiling? Definition and meaning. List of the best data profiling tools and software solutions (and one free tool). What is Data Profiling? Definition: Data profiling (also known as data archeology) is an assessment of data values within a given data set for uniqueness, consistency, and logic – the three key data quality metrics. It uses descriptive statistics – one of the key types of statistical analysis to examine data for different purposes. Data profiling is the first step of data quality assessment that identifies business rules violations and anomalies. | 623 | 1,436 |
msmarco_v2.1_doc_01_1668264888#2_2446339627 | http://intellspot.com/data-profiling-tools/ | Best Data Profiling Tools and Software Solutions: List | 5 Best Data Profiling Tools and Software Solutions
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| What is Data Profiling? Definition: Data profiling (also known as data archeology) is an assessment of data values within a given data set for uniqueness, consistency, and logic – the three key data quality metrics. It uses descriptive statistics – one of the key types of statistical analysis to examine data for different purposes. Data profiling is the first step of data quality assessment that identifies business rules violations and anomalies. It involves activities of analyzing your data contents and structure. The insight you gain by data profiling gives you an idea how difficult it will be to use the data for different purposes. With the help of data profiling tools, you can profile any data asset meaningful to your business – big data, real time data, structured and non-structured data and etc. Data profiling software and techniques provide companies with the ability to analyze large amounts of data fastly, in no time. Data have a very dynamic nature and you should constantly evaluate it. | 985 | 1,996 |
msmarco_v2.1_doc_01_1668264888#3_2446341130 | http://intellspot.com/data-profiling-tools/ | Best Data Profiling Tools and Software Solutions: List | 5 Best Data Profiling Tools and Software Solutions
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| It involves activities of analyzing your data contents and structure. The insight you gain by data profiling gives you an idea how difficult it will be to use the data for different purposes. With the help of data profiling tools, you can profile any data asset meaningful to your business – big data, real time data, structured and non-structured data and etc. Data profiling software and techniques provide companies with the ability to analyze large amounts of data fastly, in no time. Data have a very dynamic nature and you should constantly evaluate it. Data Profiling Tools and Software Solutions: Best List
1. IBM InfoSphere Information Analyzer
This popular tool allows you to understand the quality, content, and structure of the data. IBM InfoSphere Information Analyzer provides a comprehensive range of capabilities for profiling your data source. The main data profiling functions are: | 1,437 | 2,336 |
msmarco_v2.1_doc_01_1668264888#4_2446342515 | http://intellspot.com/data-profiling-tools/ | Best Data Profiling Tools and Software Solutions: List | 5 Best Data Profiling Tools and Software Solutions
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| Data Profiling Tools and Software Solutions: Best List
1. IBM InfoSphere Information Analyzer
This popular tool allows you to understand the quality, content, and structure of the data. IBM InfoSphere Information Analyzer provides a comprehensive range of capabilities for profiling your data source. The main data profiling functions are: Column analysis that generates a full-frequency distribution and examines in detail each column of every source table. Primary key analysis that allows you to validate the primary keys and identify columns that are applicants for primary keys. Natural key analysis allows you to profile the uniqueness of distinct values in each column of a table. You can review the natural key analysis results. Foreign-key analysis
Cross-domain analysis that examines content and relationships across tables. | 1,996 | 2,831 |
msmarco_v2.1_doc_01_1668264888#5_2446343831 | http://intellspot.com/data-profiling-tools/ | Best Data Profiling Tools and Software Solutions: List | 5 Best Data Profiling Tools and Software Solutions
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| Column analysis that generates a full-frequency distribution and examines in detail each column of every source table. Primary key analysis that allows you to validate the primary keys and identify columns that are applicants for primary keys. Natural key analysis allows you to profile the uniqueness of distinct values in each column of a table. You can review the natural key analysis results. Foreign-key analysis
Cross-domain analysis that examines content and relationships across tables. Website: https://www.ibm.com
2. SAP Business Objects Data Services (BODS) for Data Profiling
SAP BODS is one of the best and most popular data profiling tools and ETL software solutions out there. The tool allows business users very quickly identify inconsistencies and data problems before it is used for intelligence purposes. One of the key success-factor of SAP BODS is that it combines three business-oriented solutions such as data quality monitoring, metadata management, and data profiling in one package. | 2,336 | 3,345 |
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| Website: https://www.ibm.com
2. SAP Business Objects Data Services (BODS) for Data Profiling
SAP BODS is one of the best and most popular data profiling tools and ETL software solutions out there. The tool allows business users very quickly identify inconsistencies and data problems before it is used for intelligence purposes. One of the key success-factor of SAP BODS is that it combines three business-oriented solutions such as data quality monitoring, metadata management, and data profiling in one package. Among the benefits of SAP BODS data profiling are: Allows you to analyze if data matches business expectations
Validate data completeness, redundancy, sparseness, pattern distribution. Analyze cross system data dependencies
There are two types of Profiling: Column Profiling that let you perform basic profiling ( including information like min, max, avg, etc.) and detailed profiling (distinct percent, distinct count, median, etc.) | 2,831 | 3,779 |
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| Among the benefits of SAP BODS data profiling are: Allows you to analyze if data matches business expectations
Validate data completeness, redundancy, sparseness, pattern distribution. Analyze cross system data dependencies
There are two types of Profiling: Column Profiling that let you perform basic profiling ( including information like min, max, avg, etc.) and detailed profiling (distinct percent, distinct count, median, etc.) Relationship profiling that lets you find data anomalies between two columns. Website: https://blogs.sap.com/
3. Informatica Data Profiling Solution – Data Explorer
Informatica Data Profiling and Quality solutions allow developers and data administrators to profile the data in the repository very fastly and provide a more thorough analysis. Data Explorer has two editions—Standard and Advanced. | 3,345 | 4,176 |
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| Relationship profiling that lets you find data anomalies between two columns. Website: https://blogs.sap.com/
3. Informatica Data Profiling Solution – Data Explorer
Informatica Data Profiling and Quality solutions allow developers and data administrators to profile the data in the repository very fastly and provide a more thorough analysis. Data Explorer has two editions—Standard and Advanced. Both of them use powerful data profiling capabilities to scan every single data record, from any source. This allows you to find quickly anomalies and hidden relationships. The tool works regardless of complexity and of the type of relationship between your data sources. Informatica data profiling software provides your IT team with automated discovery capabilities. This helps them minimize the specification and testing cycles and save their time. | 3,779 | 4,628 |
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| Both of them use powerful data profiling capabilities to scan every single data record, from any source. This allows you to find quickly anomalies and hidden relationships. The tool works regardless of complexity and of the type of relationship between your data sources. Informatica data profiling software provides your IT team with automated discovery capabilities. This helps them minimize the specification and testing cycles and save their time. In addition, the tool provides several pre-built rules and they can be applied right to the profile within either the Analyst or Developer tool. Informatica data profiling tools even support data governance procedures. Website: https://www.informatica.com/
4. Data Profiling with Talend Open Studio for Data Quality
Talend Open Studio a famous ETL software – a very flexible tool that provides a rich functionality to give you deep visibility into your organization’s data. | 4,177 | 5,102 |
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| In addition, the tool provides several pre-built rules and they can be applied right to the profile within either the Analyst or Developer tool. Informatica data profiling tools even support data governance procedures. Website: https://www.informatica.com/
4. Data Profiling with Talend Open Studio for Data Quality
Talend Open Studio a famous ETL software – a very flexible tool that provides a rich functionality to give you deep visibility into your organization’s data. Without a need to write any code, you can make data quality analysis ranging from simple data profiling to analysis of different types of fields, to validation against standard or custom patterns. You are able to easily access a broad range of databases, applications, file types – all from the one graphical console. You also can apply custom business rules to your data, identify data that fails to conform to particular internal standards such as SKU and etc. It is Free to download
This is one of the best free data profiling tools that is fully functional and powerful software and you can download and use it for free – as long as you want. Website: | 4,628 | 5,758 |
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| Without a need to write any code, you can make data quality analysis ranging from simple data profiling to analysis of different types of fields, to validation against standard or custom patterns. You are able to easily access a broad range of databases, applications, file types – all from the one graphical console. You also can apply custom business rules to your data, identify data that fails to conform to particular internal standards such as SKU and etc. It is Free to download
This is one of the best free data profiling tools that is fully functional and powerful software and you can download and use it for free – as long as you want. Website: https://www.talend.com/
5. Melissa Data Profiler
Melissa provides a full spectrum of data quality software solutions including data profiling, data enrichment, data matching and data verification. Their Data Profiler is initiative and very easy to use data profiling tool that put your data under a microscope. Profiler analyzes your data before it gets into your warehouse and helps ensure consistent data quality. Profiler is designed to tackle two data profiling predicaments: | 5,102 | 6,238 |
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| https://www.talend.com/
5. Melissa Data Profiler
Melissa provides a full spectrum of data quality software solutions including data profiling, data enrichment, data matching and data verification. Their Data Profiler is initiative and very easy to use data profiling tool that put your data under a microscope. Profiler analyzes your data before it gets into your warehouse and helps ensure consistent data quality. Profiler is designed to tackle two data profiling predicaments: Identification – you are able to identify, extract, and understand your data. It returns numerous string and stats from minimum and maximum values to averages to quartiles and more. Monitoring – the tool provides permanent monitoring functionalities that help you understand how well your data quality processes are operating. In addition, the software is able to analyze a broad variety of data types such as contact name, title, company, address, city, state, phone and more. For identification and discovery, you get: | 5,759 | 6,759 |
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| Identification – you are able to identify, extract, and understand your data. It returns numerous string and stats from minimum and maximum values to averages to quartiles and more. Monitoring – the tool provides permanent monitoring functionalities that help you understand how well your data quality processes are operating. In addition, the software is able to analyze a broad variety of data types such as contact name, title, company, address, city, state, phone and more. For identification and discovery, you get: General Formatting, Content Analysis, Field Analysis, Monitoring. Website: http://www.melissa.com/
Conclusion
Data profiling is the crucial first step in data quality. Data profiling tools and software solutions are originally designed to make the task of the managing data quality easier and more fun. On the market today there is a broad range of data profiling solutions such as the ETL and business intelligence software with built in Data Profilers. | 6,238 | 7,214 |
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| General Formatting, Content Analysis, Field Analysis, Monitoring. Website: http://www.melissa.com/
Conclusion
Data profiling is the crucial first step in data quality. Data profiling tools and software solutions are originally designed to make the task of the managing data quality easier and more fun. On the market today there is a broad range of data profiling solutions such as the ETL and business intelligence software with built in Data Profilers. There are also stand-alone Data Profiling solutions. Which one you will use depends on many factors – your business needs and strategy, data quality cost and etc. A good data profile strategy should be in synchrony with your overall business strategy and expectations. What is your preferred data profiler? Share your thoughts in the comment field above. | 6,760 | 7,569 |
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| There are also stand-alone Data Profiling solutions. Which one you will use depends on many factors – your business needs and strategy, data quality cost and etc. A good data profile strategy should be in synchrony with your overall business strategy and expectations. What is your preferred data profiler? Share your thoughts in the comment field above. About The Author
Silvia Valcheva
Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. She has a strong passion for writing about emerging software and technologies such as big data, AI (Artificial Intelligence), IoT (Internet of Things), process automation, etc. Leave a Reply
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This site uses Akismet to reduce spam. Learn how your comment data is processed. | 7,215 | 7,998 |
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| Decision Tree Examples: Simple Real Life Problems and Solutions
Decision Tree Examples: Problems With Solutions
Let’s explain decision tree with examples. There are so many solved decision tree examples (real-life problems with solutions) that can be given to help you understand how decision tree diagram works. As graphical representations of complex or simple problems and questions, decision trees have an important role in business, in finance, in project management, and in any other areas. On this page: What is decision tree? Definition. 5 solved simple examples of decision tree diagram
(for business, financial, personal, and project management needs). Steps to creating a decision tree. | 0 | 697 |
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| On this page: What is decision tree? Definition. 5 solved simple examples of decision tree diagram
(for business, financial, personal, and project management needs). Steps to creating a decision tree. Let’s define it. A decision tree is a diagram representation of possible solutions to a decision. It shows different outcomes from a set of decisions. The diagram is a widely used decision-making tool for analysis and planning. The diagram starts with a box (or root), which branches off into several solutions. | 496 | 1,009 |
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| Let’s define it. A decision tree is a diagram representation of possible solutions to a decision. It shows different outcomes from a set of decisions. The diagram is a widely used decision-making tool for analysis and planning. The diagram starts with a box (or root), which branches off into several solutions. That’s way, it is called decision tree. Decision trees are helpful for a variety of reasons. Not only they are easy-to-understand diagrams that support you ‘see’ your thoughts, but also because they provide a framework for estimating all possible alternatives. In addition, decision trees help you manage the brainstorming process so you are able to consider the potential outcomes of a given choice. Example 1: | 697 | 1,421 |
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| That’s way, it is called decision tree. Decision trees are helpful for a variety of reasons. Not only they are easy-to-understand diagrams that support you ‘see’ your thoughts, but also because they provide a framework for estimating all possible alternatives. In addition, decision trees help you manage the brainstorming process so you are able to consider the potential outcomes of a given choice. Example 1: The Structure of Decision Tree
Let’s explain the decision tree structure with a simple example. Each decision tree has 3 key parts: a root node
leaf nodes, and
branches. No matter what type is the decision tree, it starts with a specific decision. This decision is depicted with a box – the root node. | 1,010 | 1,723 |
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| The Structure of Decision Tree
Let’s explain the decision tree structure with a simple example. Each decision tree has 3 key parts: a root node
leaf nodes, and
branches. No matter what type is the decision tree, it starts with a specific decision. This decision is depicted with a box – the root node. Root and leaf nodes hold questions or some criteria you have to answer. Commonly, nodes appear as a squares or circles. Squares depict decisions, while circles represent uncertain outcomes. As you see in the example above, branches are lines that connect nodes, indicating the flow from question to answer. Each node normally carries two or more nodes extending from it. | 1,422 | 2,094 |
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| Root and leaf nodes hold questions or some criteria you have to answer. Commonly, nodes appear as a squares or circles. Squares depict decisions, while circles represent uncertain outcomes. As you see in the example above, branches are lines that connect nodes, indicating the flow from question to answer. Each node normally carries two or more nodes extending from it. If the leaf node results in the solution to the decision, the line is left empty. How long should the decision trees be? A decision tree should span as long as is needed to achieve a proper solution. Theoretically, when you are depicting a decision tree you should involve every possible decision and outcome in the tree. This will help you with analysis, planning, and will allow you avoid bad surprises. | 1,723 | 2,500 |
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| If the leaf node results in the solution to the decision, the line is left empty. How long should the decision trees be? A decision tree should span as long as is needed to achieve a proper solution. Theoretically, when you are depicting a decision tree you should involve every possible decision and outcome in the tree. This will help you with analysis, planning, and will allow you avoid bad surprises. Now we are going to give more simple decision tree examples. Example 2: Simple Personal Decision Tree Example
Let’s say you are wondering whether to quit your job or not. You have to consider some important points and questions. Here is an example of a decision tree in this case. | 2,095 | 2,781 |
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| Now we are going to give more simple decision tree examples. Example 2: Simple Personal Decision Tree Example
Let’s say you are wondering whether to quit your job or not. You have to consider some important points and questions. Here is an example of a decision tree in this case. Download the following decision tree in PDF
Now, let’s deep further and see decision tree examples in business and finance. Example 3: Project Management Decision Tree Example
Imagine you are an IT project manager and you need to decide whether to start a particular project or not. You need to take into account important possible outcomes and consequences. The decision tree examples, in this case, might look like the diagram below. | 2,500 | 3,217 |
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| Download the following decision tree in PDF
Now, let’s deep further and see decision tree examples in business and finance. Example 3: Project Management Decision Tree Example
Imagine you are an IT project manager and you need to decide whether to start a particular project or not. You need to take into account important possible outcomes and consequences. The decision tree examples, in this case, might look like the diagram below. Download the following decision tree diagram in PDF. Don’t forget that in each decision tree, there is always a choice to do nothing! Example 4: Financial Decision Tree Example
When it comes to the finance area, decision trees are a great tool to help you organize your thoughts and to consider different scenarios. Let’s say you are wondering whether it’s worth to invest in new or old expensive machines. | 2,781 | 3,624 |
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| Download the following decision tree diagram in PDF. Don’t forget that in each decision tree, there is always a choice to do nothing! Example 4: Financial Decision Tree Example
When it comes to the finance area, decision trees are a great tool to help you organize your thoughts and to consider different scenarios. Let’s say you are wondering whether it’s worth to invest in new or old expensive machines. This is a classical financial situation. See the decision tree diagram example below. Download it. The above decision tree example representing the financial consequences of investing in old or new machines. It is quite obvious that buying new machines will bring us much more profit than buying old ones. | 3,217 | 3,930 |
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| This is a classical financial situation. See the decision tree diagram example below. Download it. The above decision tree example representing the financial consequences of investing in old or new machines. It is quite obvious that buying new machines will bring us much more profit than buying old ones. Need more decision tree diagram examples? Example 5: Very Simple Desicion Tree Example
As we have the basis, let’ sum the steps for creating decision tree diagrams. Steps for Creating Decision Trees: 1. | 3,625 | 4,133 |
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| Need more decision tree diagram examples? Example 5: Very Simple Desicion Tree Example
As we have the basis, let’ sum the steps for creating decision tree diagrams. Steps for Creating Decision Trees: 1. Write the main decision. Begin the decision tree by drawing a box (the root node) on 1 edge of your paper. Write the main decision on the box. 2. Draw the lines
Draw line leading out from the box for each possible solution or action. | 3,930 | 4,367 |
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| Write the main decision. Begin the decision tree by drawing a box (the root node) on 1 edge of your paper. Write the main decision on the box. 2. Draw the lines
Draw line leading out from the box for each possible solution or action. Make at least 2, but better no more than 4 lines. Keep the lines as far apart as you can to enlarge the tree later. 3. Illustrate the outcomes of the solution at the end of each line. A tip: | 4,134 | 4,558 |
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| Make at least 2, but better no more than 4 lines. Keep the lines as far apart as you can to enlarge the tree later. 3. Illustrate the outcomes of the solution at the end of each line. A tip: It is a good practice here to draw a circle if the outcome is uncertain and to draw a square if the outcome leads to another problem. 4. Continue adding boxes and lines. Continue until there are no more problems, and all lines have either uncertain outcome or blank ending. 5. | 4,368 | 4,835 |
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| It is a good practice here to draw a circle if the outcome is uncertain and to draw a square if the outcome leads to another problem. 4. Continue adding boxes and lines. Continue until there are no more problems, and all lines have either uncertain outcome or blank ending. 5. Finish the tree. The boxes that represent uncertain outcomes remain as they are. A tip: A very good practice is to assign a score or a percentage chance of an outcome happening. For example, if you know for a certain situation there is 50% chance to happen, place that 50 % on the appropriate branch. | 4,559 | 5,136 |
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| Finish the tree. The boxes that represent uncertain outcomes remain as they are. A tip: A very good practice is to assign a score or a percentage chance of an outcome happening. For example, if you know for a certain situation there is 50% chance to happen, place that 50 % on the appropriate branch. When you finish your decision tree, you’re ready to start analyzing the decisions and problems you face. How to Create a Decision Tree? In our IT world, it is a piece of cake to create decision trees. You have a plenty of different options. For example, you can use paid or free graphing software or free mind mapping software solutions such as: | 4,836 | 5,482 |
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| When you finish your decision tree, you’re ready to start analyzing the decisions and problems you face. How to Create a Decision Tree? In our IT world, it is a piece of cake to create decision trees. You have a plenty of different options. For example, you can use paid or free graphing software or free mind mapping software solutions such as: Canva
Lucidchart
Smartdraw
Silverdecisions
The above tools are popular online chart creators that allow you to build almost all types of graphs and diagrams from scratch. Of course, you also might want to use Microsoft products such as: Word
Excel
PowerPoint
And finally, you can use a piece of paper and a pen or a writing board. Advantages and Disadvantages of Decision Trees: Decision trees are powerful tools that can support decision making in different areas such as business, finance, risk management, project management, healthcare and etc. | 5,136 | 6,031 |
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| Canva
Lucidchart
Smartdraw
Silverdecisions
The above tools are popular online chart creators that allow you to build almost all types of graphs and diagrams from scratch. Of course, you also might want to use Microsoft products such as: Word
Excel
PowerPoint
And finally, you can use a piece of paper and a pen or a writing board. Advantages and Disadvantages of Decision Trees: Decision trees are powerful tools that can support decision making in different areas such as business, finance, risk management, project management, healthcare and etc. The trees are also widely used as root cause analysis tools and solutions. As any other thing in this world, the decision tree has some pros and cons you should know. Advantages: It is very easy to understand and interpret. The data for decision trees require minimal preparation. | 5,482 | 6,312 |
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| The trees are also widely used as root cause analysis tools and solutions. As any other thing in this world, the decision tree has some pros and cons you should know. Advantages: It is very easy to understand and interpret. The data for decision trees require minimal preparation. They force you to find many possible outcomes of a decision. Can be easily used with many other decision tools. Helps you to make the best decisions and best guesses on the basis of the information you have. Helps you to see the difference between controlled and uncontrolled events. Helps you estimate the likely results of one decision against another. | 6,032 | 6,667 |
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| They force you to find many possible outcomes of a decision. Can be easily used with many other decision tools. Helps you to make the best decisions and best guesses on the basis of the information you have. Helps you to see the difference between controlled and uncontrolled events. Helps you estimate the likely results of one decision against another. Disadvantages: Sometimes decision trees can become too complex. The outcomes of decisions may be based mainly on your expectations. This can lead to unrealistic decision trees. The diagrams can narrow your focus to critical decisions and objectives. | 6,312 | 6,917 |
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| Disadvantages: Sometimes decision trees can become too complex. The outcomes of decisions may be based mainly on your expectations. This can lead to unrealistic decision trees. The diagrams can narrow your focus to critical decisions and objectives. Conclusion: The above decision tree examples aim to make you understand better the whole idea behind. As you see, the decision tree is a kind of probability tree that helps you to make a personal or business decision. For a decision tree to be efficient, it should include all possible solutions and sequences. Decision trees are highly effective diagram structures that illustrate alternatives and investigate the possible outcomes. | 6,667 | 7,351 |
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| Conclusion: The above decision tree examples aim to make you understand better the whole idea behind. As you see, the decision tree is a kind of probability tree that helps you to make a personal or business decision. For a decision tree to be efficient, it should include all possible solutions and sequences. Decision trees are highly effective diagram structures that illustrate alternatives and investigate the possible outcomes. In addition, they show you a balanced picture of the risks and opportunities related to each possible decision. If you need more examples, our posts fishbone diagram examples and Venn diagram examples might be of help. About The Author
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| In addition, they show you a balanced picture of the risks and opportunities related to each possible decision. If you need more examples, our posts fishbone diagram examples and Venn diagram examples might be of help. About The Author
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| Discrete vs Continuous Data: Definition, Examples and Difference
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Statistics and data management sciences require a deep understanding of what is the difference between discrete and continuous data set and variables. The similarity is that both of them are the two types of quantitative data also called numerical data. However, in practice, many data mining and statistical decisions depend on whether the basic data is discrete or continuous. On this page you will learn: What is discrete data? Definition and examples. What is continuous data? Definition and examples. | 0 | 621 |
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| On this page you will learn: What is discrete data? Definition and examples. What is continuous data? Definition and examples. Discrete vs Continuous Data: Diferences. Comparison chart/infographic in PDF
What is Discrete Data? Definition, Examples, and Explanation
If you have quantitative data, like a number of workers in a company, could you divide every one of the workers into 2 parts? The answer is absolutely NOT. | 494 | 915 |
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| Discrete vs Continuous Data: Diferences. Comparison chart/infographic in PDF
What is Discrete Data? Definition, Examples, and Explanation
If you have quantitative data, like a number of workers in a company, could you divide every one of the workers into 2 parts? The answer is absolutely NOT. Because the number of workers is discrete data. Let’s define it: Discrete data is a count that involves integers. Only a limited number of values is possible. The discrete values cannot be subdivided into parts. | 621 | 1,127 |
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| Because the number of workers is discrete data. Let’s define it: Discrete data is a count that involves integers. Only a limited number of values is possible. The discrete values cannot be subdivided into parts. For example, the number of children in a school is discrete data. You can count whole individuals. You can’t count 1.5 kids. So, discrete data can take only certain values. The data variables cannot be divided into smaller parts. | 916 | 1,357 |
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| For example, the number of children in a school is discrete data. You can count whole individuals. You can’t count 1.5 kids. So, discrete data can take only certain values. The data variables cannot be divided into smaller parts. How to display graphically discrete data? We can display discrete data by bar graphs. Stem-and-leaf-plot and pie chart are great for displaying discrete data too. Discrete data key characteristics: You can count the data. | 1,128 | 1,579 |
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| How to display graphically discrete data? We can display discrete data by bar graphs. Stem-and-leaf-plot and pie chart are great for displaying discrete data too. Discrete data key characteristics: You can count the data. It is usually units counted in whole numbers. The values cannot be divided into smaller pieces and add additional meaning. You cannot measure the data. By nature, discrete data cannot be measured at all. For example, you can measure your weight with the help of a scale. | 1,357 | 1,850 |
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| It is usually units counted in whole numbers. The values cannot be divided into smaller pieces and add additional meaning. You cannot measure the data. By nature, discrete data cannot be measured at all. For example, you can measure your weight with the help of a scale. So, your weight is not a discrete data. It has a limited number of possible values e.g. days of the month. Discrete data is graphically displayed by a bar graph. Discrete data may be also ordinal or nominal data (see our post nominal vs ordinal data ). When the values of the discrete data fit into one of many categories and there is an order or rank to the values, we have ordinal discrete data. | 1,580 | 2,248 |
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| So, your weight is not a discrete data. It has a limited number of possible values e.g. days of the month. Discrete data is graphically displayed by a bar graph. Discrete data may be also ordinal or nominal data (see our post nominal vs ordinal data ). When the values of the discrete data fit into one of many categories and there is an order or rank to the values, we have ordinal discrete data. For example, the first, second and third person in a competition. Discrete data may be also nominal where the data fit into one or more categories where there is no any order between the values. For example, the eye color can fall in one of these categories: blue, green, brown. Examples of discrete data: | 1,851 | 2,554 |
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| For example, the first, second and third person in a competition. Discrete data may be also nominal where the data fit into one or more categories where there is no any order between the values. For example, the eye color can fall in one of these categories: blue, green, brown. Examples of discrete data: The number of students in a class. The number of workers in a company. The number of parts damaged during transportation. Shoe sizes. Number of languages an individual speaks. | 2,249 | 2,730 |
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| The number of students in a class. The number of workers in a company. The number of parts damaged during transportation. Shoe sizes. Number of languages an individual speaks. The number of home runs in a baseball game. The number of test questions you answered correctly. Instruments in a shelf. The number of siblings a randomly selected individual has. What is Continuous Data? | 2,554 | 2,935 |
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| The number of home runs in a baseball game. The number of test questions you answered correctly. Instruments in a shelf. The number of siblings a randomly selected individual has. What is Continuous Data? Definition, Examples, and Explanation
As we mentioned above the two types of quantitative data (numerical data) are discrete and continuous data. Continuous data is considered as the opposite of discrete data. Let’s see the definition: Continuous data is information that could be meaningfully divided into finer levels. It can be measured on a scale or continuum and can have almost any numeric value. | 2,730 | 3,338 |
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| Definition, Examples, and Explanation
As we mentioned above the two types of quantitative data (numerical data) are discrete and continuous data. Continuous data is considered as the opposite of discrete data. Let’s see the definition: Continuous data is information that could be meaningfully divided into finer levels. It can be measured on a scale or continuum and can have almost any numeric value. For example, you can measure your height at very precise scales — meters, centimeters, millimeters and etc. You can record continuous data at so many different measurements – width, temperature, time, and etc. This is where the key difference with discrete data lies. The continuous variables can take any value between two numbers. For example, between 50 and 72 inches, there are literally millions of possible heights: | 2,936 | 3,760 |
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| For example, you can measure your height at very precise scales — meters, centimeters, millimeters and etc. You can record continuous data at so many different measurements – width, temperature, time, and etc. This is where the key difference with discrete data lies. The continuous variables can take any value between two numbers. For example, between 50 and 72 inches, there are literally millions of possible heights: 52.04762 inches, 69.948376 inches and etc. A good common rule for defining if a data is continuous or discrete is that if the point of measurement can be reduced in half and still make sense, the data is continuous. How to display graphically continuous data? We can display continuous data by histograms. Line graphs are also very helpful for displaying trends in continuous data. | 3,339 | 4,142 |
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| 52.04762 inches, 69.948376 inches and etc. A good common rule for defining if a data is continuous or discrete is that if the point of measurement can be reduced in half and still make sense, the data is continuous. How to display graphically continuous data? We can display continuous data by histograms. Line graphs are also very helpful for displaying trends in continuous data. So let’s sum the key points. Continuous data key characteristics: In general, continuous variables are not counted. The values can be subdivided into smaller and smaller pieces and they have additional meaning. The continuous data is measurable. | 3,761 | 4,388 |
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| So let’s sum the key points. Continuous data key characteristics: In general, continuous variables are not counted. The values can be subdivided into smaller and smaller pieces and they have additional meaning. The continuous data is measurable. It has an infinite number of possible values within an interval. Continuous data is graphically displayed by histograms. In comparison to discrete data, continuous data give a much better sense of the variation that is present. In addition, continuous data can take place in many different kinds of hypothesis checks. For example, to evaluate the accuracy of the weight printed on the product box. | 4,142 | 4,786 |
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| It has an infinite number of possible values within an interval. Continuous data is graphically displayed by histograms. In comparison to discrete data, continuous data give a much better sense of the variation that is present. In addition, continuous data can take place in many different kinds of hypothesis checks. For example, to evaluate the accuracy of the weight printed on the product box. Examples of continuous data: The amount of time required to complete a project. The height of children. The amount of time it takes to sell shoes. The amount of rain, in inches, that falls in a storm. | 4,388 | 4,987 |
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| Examples of continuous data: The amount of time required to complete a project. The height of children. The amount of time it takes to sell shoes. The amount of rain, in inches, that falls in a storm. The square footage of a two-bedroom house. The weight of a truck. The speed of cars. Time to wake up. When it comes to sampling methods, the measurement tool could be a restricting factor for continuous data. | 4,786 | 5,196 |
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| The square footage of a two-bedroom house. The weight of a truck. The speed of cars. Time to wake up. When it comes to sampling methods, the measurement tool could be a restricting factor for continuous data. For example, if I say that my height is 65 inches, my height is not exactly 65 inches. That’s just what my scale shows me. In fact, my height might be 65.76597 inches. This should be taken into consideration if you perform market research and be careful about different scales, measurements, data collection methods, and data collecting tools. Comparison Chart: | 4,987 | 5,558 |
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| For example, if I say that my height is 65 inches, my height is not exactly 65 inches. That’s just what my scale shows me. In fact, my height might be 65.76597 inches. This should be taken into consideration if you perform market research and be careful about different scales, measurements, data collection methods, and data collecting tools. Comparison Chart: Discrete Data vs Continuous Data
It is quite sure that there is a significant difference between the discrete and continuous data sets and variables. As they are the two types of quantitative data (numerical data), they have many different applications in statistics, data analysis methods, and data management. Numerical data always include measuring or counting of numerical values. That is why, when we do something with discrete and continuous data, actually we do something with numerical data. Some analyses can use discrete and continuous data at the same time. | 5,197 | 6,127 |
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| Discrete Data vs Continuous Data
It is quite sure that there is a significant difference between the discrete and continuous data sets and variables. As they are the two types of quantitative data (numerical data), they have many different applications in statistics, data analysis methods, and data management. Numerical data always include measuring or counting of numerical values. That is why, when we do something with discrete and continuous data, actually we do something with numerical data. Some analyses can use discrete and continuous data at the same time. For instance, we could make a regression analysis to check if the weight of product boxes (here is the continuous data) is in synchrony with the number of products inside ( here is the discrete data). Download the following comparison chart/infographic in PDF: Discrete data vs continuous data
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Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. She has a strong passion for writing about emerging software and technologies such as big data, AI (Artificial Intelligence), IoT (Internet of Things), process automation, etc. Leave a Reply
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This site uses Akismet to reduce spam. | 5,559 | 6,808 |
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| For instance, we could make a regression analysis to check if the weight of product boxes (here is the continuous data) is in synchrony with the number of products inside ( here is the discrete data). Download the following comparison chart/infographic in PDF: Discrete data vs continuous data
About The Author
Silvia Valcheva
Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. She has a strong passion for writing about emerging software and technologies such as big data, AI (Artificial Intelligence), IoT (Internet of Things), process automation, etc. Leave a Reply
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This site uses Akismet to reduce spam. Learn how your comment data is processed. | 6,128 | 6,850 |
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| Fishbone Diagram Examples, Importance and Purpose
Fishbone Diagram Examples and Definition
The best way to explain and understand how does a fishbone diagram work (also known as cause and effect chart or Ishikawa diagram) for problem-solving, is to see some simple and practical fishbone diagram examples. Cause and effect diagram is a key tool for root cause analysis that has important uses in almost any business area such as project management, process improvement, marketing, and etc. On this page: What is cause and effect diagram? Definition and meaning. Fishbone diagram importance, purpose, and steps. 3 examples of a completed fishbone diagram (with images). Whether you’re a marketing researcher, project manager or a student, understanding and defining problems is a key pain point for you. Fishbone diagram is recognized as one of the best graphical methods to understand and solve problems because it takes into consideration all the possible causes. Let’s define it: | 0 | 981 |
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| Fishbone diagram importance, purpose, and steps. 3 examples of a completed fishbone diagram (with images). Whether you’re a marketing researcher, project manager or a student, understanding and defining problems is a key pain point for you. Fishbone diagram is recognized as one of the best graphical methods to understand and solve problems because it takes into consideration all the possible causes. Let’s define it: A fishbone diagram (also known as a cause and effect diagram, Ishikawa diagram or herringbone diagram) is a visualization technique for categorizing the potential causes of a specific problem. The main purpose is to find the root cause. It is one of the key root cause analysis tools that combines brainstorming with a kind of mind mapping and makes you think about all potential causes of a given problem, rather than just the one or two. Before seeing some practical fishbone diagram examples, let’s see why Ishikawa diagram is so important and what are the key purposes of it: Ishikawa Diagram Purposes: | 561 | 1,588 |
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| A fishbone diagram (also known as a cause and effect diagram, Ishikawa diagram or herringbone diagram) is a visualization technique for categorizing the potential causes of a specific problem. The main purpose is to find the root cause. It is one of the key root cause analysis tools that combines brainstorming with a kind of mind mapping and makes you think about all potential causes of a given problem, rather than just the one or two. Before seeing some practical fishbone diagram examples, let’s see why Ishikawa diagram is so important and what are the key purposes of it: Ishikawa Diagram Purposes: To help teams categorize a variety of potential causes of a problem. To help you determine the root causes. To help you clearly break down the relationships between the factors that cause the issue. Benefits and Importance of Fishbone Diagram
There are many benefits of Ishikawa diagram for cause analysis and problem-solving: Displays all the possible causes of a particular problem in a simple, easy to read graphical way. | 981 | 2,013 |
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| To help teams categorize a variety of potential causes of a problem. To help you determine the root causes. To help you clearly break down the relationships between the factors that cause the issue. Benefits and Importance of Fishbone Diagram
There are many benefits of Ishikawa diagram for cause analysis and problem-solving: Displays all the possible causes of a particular problem in a simple, easy to read graphical way. Captures the relationships between the potential causes and shows them in the chart. A great tool for solving complex problems where many factors have to be taken into consideration. Stimulates an in-depth analysis and evaluation because allows you to explore possible causes in details. Gives you a bigger picture and better understanding of the problem. Boosts and frameworks brainstorming about the possible reasons. | 1,588 | 2,433 |
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| Captures the relationships between the potential causes and shows them in the chart. A great tool for solving complex problems where many factors have to be taken into consideration. Stimulates an in-depth analysis and evaluation because allows you to explore possible causes in details. Gives you a bigger picture and better understanding of the problem. Boosts and frameworks brainstorming about the possible reasons. Stimulates in-depth discussion among team members about the problem. Helps in maintaining team focus. Identify where a process isn’t working. Now, as we know the basic let’s see some simple and practical examples of cause and effect diagram. Fishbone Diagram Examples: | 2,013 | 2,702 |
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| Stimulates in-depth discussion among team members about the problem. Helps in maintaining team focus. Identify where a process isn’t working. Now, as we know the basic let’s see some simple and practical examples of cause and effect diagram. Fishbone Diagram Examples: Example 1: Let’s say you are an online marketing specialist working for a company witch experience low website traffic. You have the task to find the main reasons. Here is a fishbone diagram example that might help you resolve the situation: Example 2: | 2,433 | 2,955 |
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| Example 1: Let’s say you are an online marketing specialist working for a company witch experience low website traffic. You have the task to find the main reasons. Here is a fishbone diagram example that might help you resolve the situation: Example 2: A software development company has a too low performance of its new web application product. Let’s use a fishbone diagram to graph the possible causes: Example 3: Finally, let’s see an example related to our personal and healthy life. The fishbone diagram below represents some common reasons for human obesity. | 2,702 | 3,267 |
msmarco_v2.1_doc_01_1668289458#7_2446418568 | http://intellspot.com/fishbone-diagram-examples/ | Fishbone Diagram Examples, Importance and Purpose | Fishbone Diagram Examples and Definition
Fishbone Diagram Examples and Definition
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| A software development company has a too low performance of its new web application product. Let’s use a fishbone diagram to graph the possible causes: Example 3: Finally, let’s see an example related to our personal and healthy life. The fishbone diagram below represents some common reasons for human obesity. Making a fishbone diagram is not a two-minute process. There are some important steps you need to follow in order to make your cause and effect chart truly effective: Fishbone Diagram Main Steps: Step1: Identify and agree on a problem statement. | 2,955 | 3,513 |
msmarco_v2.1_doc_01_1668289458#8_2446419513 | http://intellspot.com/fishbone-diagram-examples/ | Fishbone Diagram Examples, Importance and Purpose | Fishbone Diagram Examples and Definition
Fishbone Diagram Examples and Definition
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| Making a fishbone diagram is not a two-minute process. There are some important steps you need to follow in order to make your cause and effect chart truly effective: Fishbone Diagram Main Steps: Step1: Identify and agree on a problem statement. After that, write the problem statement in a box on the left side of a whiteboard or sheet of paper. Now, draw a horizontal line across the paper starting from the box. Step2: Consider and brainstorm the major categories of factors involved in the problem. If this is difficult, you can use a standard categorization models such as 5Ms and 1P. Often these causes are categorized under: | 3,267 | 3,899 |
msmarco_v2.1_doc_01_1668289458#9_2446420522 | http://intellspot.com/fishbone-diagram-examples/ | Fishbone Diagram Examples, Importance and Purpose | Fishbone Diagram Examples and Definition
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| After that, write the problem statement in a box on the left side of a whiteboard or sheet of paper. Now, draw a horizontal line across the paper starting from the box. Step2: Consider and brainstorm the major categories of factors involved in the problem. If this is difficult, you can use a standard categorization models such as 5Ms and 1P. Often these causes are categorized under: People
Equipment
Materials
Measurement
External factors and etc. Step 3: Identify the possible causes. For each of the categories of factors, you found in step 2, brainstorm possible causes. Draw the possible causes as branches from the main horizontal line. | 3,514 | 4,158 |
msmarco_v2.1_doc_01_1668289458#10_2446421548 | http://intellspot.com/fishbone-diagram-examples/ | Fishbone Diagram Examples, Importance and Purpose | Fishbone Diagram Examples and Definition
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| People
Equipment
Materials
Measurement
External factors and etc. Step 3: Identify the possible causes. For each of the categories of factors, you found in step 2, brainstorm possible causes. Draw the possible causes as branches from the main horizontal line. Where a cause is too complex, you may break it down into some sub-causes. Draw these as small lines that come off each cause line. Step 4: Analyze the diagram you just have created. Now, you have an overview of the possible causes. | 3,899 | 4,390 |
msmarco_v2.1_doc_01_1668289458#11_2446422421 | http://intellspot.com/fishbone-diagram-examples/ | Fishbone Diagram Examples, Importance and Purpose | Fishbone Diagram Examples and Definition
Fishbone Diagram Examples and Definition
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| Where a cause is too complex, you may break it down into some sub-causes. Draw these as small lines that come off each cause line. Step 4: Analyze the diagram you just have created. Now, you have an overview of the possible causes. Depending on the nature of the problem, you might need to collect and investigate additional information to better understand the causes. This may involve carrying out surveys, simple hypothesis testing (such as asking “Where?”, and “How?”) and etc. Tools for creating fishbone diagram: | 4,159 | 4,677 |
msmarco_v2.1_doc_01_1668289458#12_2446423338 | http://intellspot.com/fishbone-diagram-examples/ | Fishbone Diagram Examples, Importance and Purpose | Fishbone Diagram Examples and Definition
Fishbone Diagram Examples and Definition
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| Depending on the nature of the problem, you might need to collect and investigate additional information to better understand the causes. This may involve carrying out surveys, simple hypothesis testing (such as asking “Where?”, and “How?”) and etc. Tools for creating fishbone diagram: Fishbone diagram is one of the popular types of graphs that are created easily. You can create fishbone diagrams using popular online diagram making tools such as: Lucichard
Smartdraw
If you prefer free graphing software tools, you can try: Canva
Finally, you can use Microsoft products such as: Word
Excel
PowerPoint
In addition, some free mind mapping tools are a great way for creating Ishikawa diagram. | 4,391 | 5,084 |
msmarco_v2.1_doc_01_1668289458#13_2446424436 | http://intellspot.com/fishbone-diagram-examples/ | Fishbone Diagram Examples, Importance and Purpose | Fishbone Diagram Examples and Definition
Fishbone Diagram Examples and Definition
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| Fishbone diagram is one of the popular types of graphs that are created easily. You can create fishbone diagrams using popular online diagram making tools such as: Lucichard
Smartdraw
If you prefer free graphing software tools, you can try: Canva
Finally, you can use Microsoft products such as: Word
Excel
PowerPoint
In addition, some free mind mapping tools are a great way for creating Ishikawa diagram. And of course, you can use a sheet of paper or a whiteboard. The above simple but practical fishbone diagram examples aim to help you understand better how does a fishbone diagram work for problem-solving purposes. Creating cause and effect chart with your team members, will help you build trust between the members and will allow you to gain new understandings of particular processes in your company. About The Author
Silvia Valcheva
Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. She has a strong passion for writing about emerging software and technologies such as big data, AI (Artificial Intelligence), IoT (Internet of Things), process automation, etc. | 4,677 | 5,809 |
msmarco_v2.1_doc_01_1668289458#14_2446425954 | http://intellspot.com/fishbone-diagram-examples/ | Fishbone Diagram Examples, Importance and Purpose | Fishbone Diagram Examples and Definition
Fishbone Diagram Examples and Definition
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| And of course, you can use a sheet of paper or a whiteboard. The above simple but practical fishbone diagram examples aim to help you understand better how does a fishbone diagram work for problem-solving purposes. Creating cause and effect chart with your team members, will help you build trust between the members and will allow you to gain new understandings of particular processes in your company. About The Author
Silvia Valcheva
Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. She has a strong passion for writing about emerging software and technologies such as big data, AI (Artificial Intelligence), IoT (Internet of Things), process automation, etc. Leave a Reply
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msmarco_v2.1_doc_01_1668295825#0_2446427169 | http://intellspot.com/fishbone-diagram-software/ | 5 Fishbone Diagram Software Tools: Free Download and Online | Fishbone Diagram Software Tools: Free Download and Online
Fishbone Diagram Software Tools: Free Download and Online
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| 5 Fishbone Diagram Software Tools: Free Download and Online
Fishbone Diagram Software Tools: Free Download and Online
If you are looking for some fishbone diagram software online or for free download, the reasons are obvious as Ishikawa tools let you do problem-solving in a very effective manner. Nowadays, there is a range of free software to draw and create fishbone diagram available for Windows, Mac or Linux or you can use them online. In addition, you can find great open source solutions to make your cause and effect diagrams at no cost and in no time. Software for making fishbone diagrams is a great way for categorizing the potential causes of a problem. It gives you a hassle-free experience. On this page, we collected some of the best freeware and online fishbone diagram makers. 1. XMind
XMind is not just a fishbone diagram creator, it is one of the most popular free mind mapping tools out there. | 0 | 914 |
msmarco_v2.1_doc_01_1668295825#1_2446428504 | http://intellspot.com/fishbone-diagram-software/ | 5 Fishbone Diagram Software Tools: Free Download and Online | Fishbone Diagram Software Tools: Free Download and Online
Fishbone Diagram Software Tools: Free Download and Online
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| Software for making fishbone diagrams is a great way for categorizing the potential causes of a problem. It gives you a hassle-free experience. On this page, we collected some of the best freeware and online fishbone diagram makers. 1. XMind
XMind is not just a fishbone diagram creator, it is one of the most popular free mind mapping tools out there. XMind is an open-source idea management software tool with extensions for Microsoft Windows, Linux, Mac and Apple OS X. In addition, it allows you to make great fishbone diagrams. Millions of people choose XMind because of its awesome usability and friendly interface. It comes with 2 types of pricing: free download and paid option. The free option allows you to make all kinds of diagrams including fishbone. | 561 | 1,325 |
msmarco_v2.1_doc_01_1668295825#2_2446429689 | http://intellspot.com/fishbone-diagram-software/ | 5 Fishbone Diagram Software Tools: Free Download and Online | Fishbone Diagram Software Tools: Free Download and Online
Fishbone Diagram Software Tools: Free Download and Online
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| XMind is an open-source idea management software tool with extensions for Microsoft Windows, Linux, Mac and Apple OS X. In addition, it allows you to make great fishbone diagrams. Millions of people choose XMind because of its awesome usability and friendly interface. It comes with 2 types of pricing: free download and paid option. The free option allows you to make all kinds of diagrams including fishbone. Key benefits and features: Free and open source. Easy to use and user-friendly interface. Beautiful fishbone charts to visually organize causal relationships among complex ideas/events. A good choice of other business charts. | 914 | 1,551 |
msmarco_v2.1_doc_01_1668295825#3_2446430746 | http://intellspot.com/fishbone-diagram-software/ | 5 Fishbone Diagram Software Tools: Free Download and Online | Fishbone Diagram Software Tools: Free Download and Online
Fishbone Diagram Software Tools: Free Download and Online
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| Key benefits and features: Free and open source. Easy to use and user-friendly interface. Beautiful fishbone charts to visually organize causal relationships among complex ideas/events. A good choice of other business charts. Brainstorming mode. Good assortment of ready-made templates. All templates are FREE! Online mind map library. Available for Microsoft Windows, Linux, Mac and Apple OS X.
Website: | 1,325 | 1,730 |
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