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Compare Data Mining Software

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Victoria Adesoba, Market Research Associate
Last updated: October 20, 2014

Top 10 Most Recommended Data Mining Software Systems

 
Pentaho 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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38

Recommendations
in the last 30 days
Sisense SiSense offers a full suite of BI applications, as well as standalone data and text mining with innovative analytics tools that can be used by any type of user. A great solution to manage and support your business data.
        4 Reviews
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37

Recommendations
in the last 30 days
Birst 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.
         8 Reviews
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33

Recommendations
in the last 30 days
GoodData We recommend GoodData to buyers looking to integrate with a wide range of data sources, including SAP, Oracle, Salesforce.com, and Marketo. GoodData customers include the likes of Time Warner Cable, Redfin and Zendesk.
        2 Reviews
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24

Recommendations
in the last 30 days
BOARD Management Intelligence Toolkit BOARD is an integrated business intelligence and corporate performance management solution. The BOARD Management Intelligence Toolkit is used by companies such as Pepsico, Nike, Giorgio Armani, L’Oreal and Charlotte Russe.
        1 Review
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16

Recommendations
in the last 30 days
 

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SAP - Business Intelligence 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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16

Recommendations
in the last 30 days
IBM Cognos Business Intelligence 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.
       1 Review
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16

Recommendations
in the last 30 days
TIBCO Spotfire TIBCO Spotfire allows users to instantly visualize and share data, enabling your team to better capitalize on opportunities or avoid risk. This solution is highly-intuitive--no IT expertise required.
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15

Recommendations
in the last 30 days
TARGIT Decision Suite 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.
         1 Review
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11

Recommendations
in the last 30 days
Microsoft SharePoint 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.
        1 Review
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3

Recommendations
in the last 30 days
 
 


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Buyer's Guide

Here's what we'll cover:

What Is Data Mining Software?
Benefits
Key Considerations

What Is Data Mining Software?

A major challenge for businesses is how to turn large, convoluted data sets into information that users can leverage to improve operations. Data mining software allows users to apply semi-automated and predictive analyses to parse raw data and find new ways to look at information. For example, ecommerce companies use data mining applications to analyze visitor demographics and discover how to deliver a better customer experience.

Data Mining Software from SAP
Data mining with the business intelligence module from SAP

Benefits

Data mining applications help users discover correlations and connections within large data sets. These might have gone unnoticed without these algorithms.

Companies implement data mining software systems to:

  • Accelerate discovery with semi-automated analyses;
  • Segment customers into groups based on homogeneous activities and demographics and
  • Generate models to predict future trends.

A classic example of how data mining software 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

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.



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