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Data Mining Tools


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Dundas BI logo
 
Dundas BI, from Dundas Data Visualization, is a browser-based business intelligence and data visualization platform that includes integrated dashboards, reporting tools, and data analytics. It provides end users the ability to create... Read More
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Dundas BI, from Dundas Data Visualization, is a browser-based business intelligence and data visualization platform that includes integrated dashboards, reporting tools, and data analytics. It provides end users the ability to create... Read More
 
Domo logo
 
Domo is a fully cloud-based business management suite that integrates with multiple data sources, including spreadsheets, databases, social media and any existing cloud-based or on-premise software solutions. It is suitable for company... Read More
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Domo is a fully cloud-based business management suite that integrates with multiple data sources, including spreadsheets, databases, social media and any existing cloud-based or on-premise software solutions. It is suitable for company... Read More
 
IBM Cognos Analytics logo
 
IBM Cognos is a web-based business intelligence suite that integrates with the company's data mining application, SPSS, for easy visualization of the data mining process. Self-service available offline and through the mobile app.
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IBM Cognos is a web-based business intelligence suite that integrates with the company's data mining application, SPSS, for easy visualization of the data mining process. Self-service available offline and through the mobile app.
 
IntelliFront BI logo
 
IntelliFront BI by ChistianStevens Software enables all industries to view multiple data sets in one place. The system offers real-time dashboards with on-demand reporting. Users have access to business process automation, report... Read More
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IntelliFront BI by ChistianStevens Software enables all industries to view multiple data sets in one place. The system offers real-time dashboards with on-demand reporting. Users have access to business process automation, report... Read More
 
Style Intelligence logo
 
InetSoft Style Intelligence is a business intelligence software platform that allows users to create dashboards, visual analyses and reports via a data mashup engine—a tool that integrates data in real time from multiple sources.... Read More
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InetSoft Style Intelligence is a business intelligence software platform that allows users to create dashboards, visual analyses and reports via a data mashup engine—a tool that integrates data in real time from multiple sources.... Read More

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Sage Live logo
 
Sage Live is a web-based and mobile ready accounting platform for small and mid-sized businesses. Key features include multi-company, multi-currency, and multi-legislation support, personalization based on user role, bank integration,... Read More
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Sage Live is a web-based and mobile ready accounting platform for small and mid-sized businesses. Key features include multi-company, multi-currency, and multi-legislation support, personalization based on user role, bank integration,... Read More
 
Yellowfin logo
 
Yellowfin, a business intelligence platform, is a single integrated solution developed for companies across varying industries and scaling sizes. This system is customizable to suit businesses in accounting, advertising, agriculture,... Read More
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Yellowfin, a business intelligence platform, is a single integrated solution developed for companies across varying industries and scaling sizes. This system is customizable to suit businesses in accounting, advertising, agriculture,... Read More
 
BOARD logo
 
BOARD offers clustering and advanced statistical functions embedded into its integrated business intelligence and corporate performance management solution.
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BOARD offers clustering and advanced statistical functions embedded into its integrated business intelligence and corporate performance management solution.
 
Pentaho logo
 
The Pentaho business intelligence platform allows various sizes or amounts of data to be mined for valuable insights. This is done using clustering algorithms and other techniques for classification, regression, and association.
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The Pentaho business intelligence platform allows various sizes or amounts of data to be mined for valuable insights. This is done using clustering algorithms and other techniques for classification, regression, and association.
 
Halo logo
 
Halo is an end-to-end supply chain management and business intelligence platform that helps in business planning and forecasting inventory for supply chain management. The system uses data from all sources - big, small, and in-between... Read More
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Halo is an end-to-end supply chain management and business intelligence platform that helps in business planning and forecasting inventory for supply chain management. The system uses data from all sources - big, small, and in-between... Read More

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IFS EOI logo
 
IFS Enterprise Operational Intelligence (EOI) is business intelligence software for large companies and organizations. The system works for many industries and offers dashboards and scorecards, data warehousing, data mining and predictive... Read More
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IFS Enterprise Operational Intelligence (EOI) is business intelligence software for large companies and organizations. The system works for many industries and offers dashboards and scorecards, data warehousing, data mining and predictive... Read More
 
Microsoft SharePoint logo
 
SharePoint integrates with other Microsoft enterprise products (including Dynamics and Microsoft Office) to assist users analyze data and form predictive models. Accessible via desktop, Internet browser or mobile device.
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SharePoint integrates with other Microsoft enterprise products (including Dynamics and Microsoft Office) to assist users analyze data and form predictive models. Accessible via desktop, Internet browser or mobile device.
 
Stratum logo
 
Stratum by Silvon is a robust business intelligence solution that was designed to meet the unique needs of business professionals working for manufacturing and distribution companies. Stratum offers a full suite of integrated analytic... Read More
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Stratum by Silvon is a robust business intelligence solution that was designed to meet the unique needs of business professionals working for manufacturing and distribution companies. Stratum offers a full suite of integrated analytic... Read More
 
Rapid Insight logo
 
Rapid Insight Inc. is a locally installed Business Intelligence solution with integrated applications for Dashboards and Scorecards, Data Mining and Predictive Analytics, Extract Transform Load, and Query and Report Writer.
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Rapid Insight Inc. is a locally installed Business Intelligence solution with integrated applications for Dashboards and Scorecards, Data Mining and Predictive Analytics, Extract Transform Load, and Query and Report Writer.
 
Birst logo
 
Birst delivers actionable data from a variety of sources, so users can answer the most pressing business questions in real time. The system deploys fast and integrates with popular technologies, such as Salesforce and SAP.
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Birst delivers actionable data from a variety of sources, so users can answer the most pressing business questions in real time. The system deploys fast and integrates with popular technologies, such as Salesforce and SAP.

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Sage X3 logo
 
Sage X3 is an enterprise business management software suite that includes integrated functionality for financial management, sales, customer service, distribution, inventory, and manufacturing, and business intelligence. Sage X3 is... Read More
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Sage X3 is an enterprise business management software suite that includes integrated functionality for financial management, sales, customer service, distribution, inventory, and manufacturing, and business intelligence. Sage X3 is... Read More
 
inZite logo
 
inZite is built on the Microsoft BI stack, so exporting to SharePoint or other Office products is integrated into the application. Easy-to-use dashboards make this a good choice for both IT professionals and executives.
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inZite is built on the Microsoft BI stack, so exporting to SharePoint or other Office products is integrated into the application. Easy-to-use dashboards make this a good choice for both IT professionals and executives.
 
SAP - Business Intelligence logo
 
SAP’s business intelligence solution integrates seamlessly with other enterprise solutions, including Salesforce and Microsoft Office products. A great fit for manufacturers, distributors, financial services providers and more.
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SAP’s business intelligence solution integrates seamlessly with other enterprise solutions, including Salesforce and Microsoft Office products. A great fit for manufacturers, distributors, financial services providers and more.
 
Exact Macola logo
 
Exact Macola includes over 20 modules to assist with manufacturing, distribution and accounting, including PLM, AP/AR, MRP, MES and more. Additional EDI and e-commerce functionality is available from Exact.
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Exact Macola includes over 20 modules to assist with manufacturing, distribution and accounting, including PLM, AP/AR, MRP, MES and more. Additional EDI and e-commerce functionality is available from Exact.
 
TARGIT Decision Suite logo
 
TARGIT is a fully-integrated business intelligence suite that can be deployed on-premise or in the Cloud. Functionality includes dashboards, ETL tools, data warehousing, predictive analysis, OLAP and ad hoc reporting.
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TARGIT is a fully-integrated business intelligence suite that can be deployed on-premise or in the Cloud. Functionality includes dashboards, ETL tools, data warehousing, predictive analysis, OLAP and ad hoc reporting.
 

Buyer's Guide

by Justin Guinn,
Market Research Associate
Last Updated: June 3, 2017


 A major challenge for businesses is how to turn large, convoluted data sets into information that users can leverage to improve operations. Meanwhile, as companies struggle to find the best approach, their data sets continue growing larger and more convoluted, while some of their competitors turn their own analyses into actionable insight and competitive advantage.

Data mining software addresses this exact problem. It’s a core application in most business intelligence initiatives and it’s often the only tool able to extract insight from mountains of data. And as computing and application costs continue to become more affordable, data mining is no longer an exclusively enterprise-class endeavor. Now, even companies in the SMB space are rolling out data mining initiatives and reaping their rewards.

In this buyer’s guide, we address the following points and answer the following questions:

What Is Data Mining Software?
Common Features of Data Mining Software
Benefits of Data Mining
Key Considerations for Selecting Data Mining Software
Recent Events

What Is Data Mining Software?

Data mining software allows users to apply semi-automated and predictive analyses to parse raw data and find new ways to look at information. It’s typically applied to very large data sets, those with many variables or related functions, or any data set too large or complex for human analysis.

Some examples of how data mining is used in different industries include:

  • Ecommerce companies use data mining to analyze visitor demographics and discover how to deliver a better customer experience. They might, for example, find that some products sell better during certain times of the day. Using this insight they could increase sales by reconfiguring which products are displayed based on time of day.

  • Insurance companies use data mining to find patterns in populations that can inform the processes of underwriting and policy management. Armed with these insights, they can offer more attractive policies tailored to specific customer segments.

  • Service providers use data mining to better cater to their clients’ needs and make suggestions for the most effective upsell opportunities. Cable and internet service providers regularly mine customer data to improve their service offerings.

  • Governmental agencies use data mining to better understand many large-scale social, political and economic changes. A local government might, for example, discover better ways to develop its road and traffic infrastructure by mining the data created from the monitoring of traffic patterns throughout the week.

It’s also important to note what data mining software does not do. Namely, it doesn’t collect the data in the first place. Most data mining solutions are designed to work with pre-existing data sets. Buyers are advised to pay close attention to the language and descriptions used in vendor marketing materials to ensure the tool they buy is the actual solution they need.

Common Features of Data Mining Software

Data mining platforms often include a variety of tools, sometimes borrowing from other, related fields such as machine learning, artificial intelligence and statistical modeling. The offerings do vary from vendor to vendor, but there are some features common across the board. These can include:

Data pre-processing Help convert existing data-sets into the proper formats necessary in order to begin the mining process.
Cluster analysis These tools can categorize (or cluster) groups of entries based on predetermined variables, or can suggest variables which will yield the most distinct clustering.
Anomaly detection A common data mining tool that finds outliers and anomalous entries in vast, complex and/or interrelated data-sets.
Process automation Data mining, by definition, requires automation. But different data mining platforms require different degrees of human input and oversight.

Benefits of Data Mining

Data mining applications help users discover correlations and connections within large data sets. These often include numerous entries with multiple variables and can even contain mixed structured and unstructured data. Because of the size and complexity of these data sets, any valuable correlations within them would have gone unnoticed if not for the tireless algorithmic analysis performed with data mining tools.

While specific goals vary from company to company, we can say that companies generally implement data mining systems to:

  • Accelerate discovery with semi-automated analyses

  • Segment customers into groups based on homogeneous activities and demographics 

  • Generate models to predict future trends


A classic example of how these systems can be used is with customer purchasing patterns at grocery stores. If shoppers tend to buy items such as toilet paper, diapers and alcohol before the weekend, retailers can place these items closer together to maximize revenue. Store owners can further capitalize on this opportunity by running specials on these items to encourage additional purchases.

Key Considerations for Selecting Data Mining Software

When evaluating data mining software, you should consider the following:

Best-of-breed or integrated suite? Buyers should consider whether they want a stand-alone, best-of-breed data mining application or would prefer to go with the data mining module from their existing Enterprise Resource Planning (ERP) provider. If buyers choose to evaluate stand-alone systems, they should discuss integration capabilities with these pure-play vendors.

Do you need to invest in hardware? Businesses without IT resources (or a budget to invest in new, faster servers) may choose to instead host their data in the cloud. However, in-memory processing advances have improved the speed and capability of these applications, lessening the IT investment previously necessary to effectively utilize data mining applications.

Do you have the talent to utilize these applications? Like with any software application, data mining solutions require the right questions to discover useful answers within data. For example, if you are evaluating data mining tools from enterprise vendor SAS, do you have analysts versed in the sample, explore, modify, model, assess (SEMMA) framework used in SAS data mining applications? Businesses must have sophisticated users to make the most out of their investment in these systems.

Recent Events

Microsoft acquires LinkedIn. June, 2016: Microsoft corporation announced it had reached a deal to acquire the professional networking site LinkedIn for $26.2B. It’s generally agreed that the software giant is making the acquisition in large part to improve its data mining capabilities with LinkedIn’s vast stores of user data.

Data mining gives researchers insight into human behaviors. June, 2016: Researchers at Harvard University, Cornell University and Microsoft Corporation announce results of a study that looks at the factors that influence how people make decisions when under pressure.

Some consumers more open to data mining. June, 2016: As data mining becomes more familiar to consumers, it’s becoming clear that some are more willing to have their data mined than others. This report looks at the relative willingness of Chinese consumers to provide personal data to companies, sometimes in exchange for free services or account credits.

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