Data science and analytics
As businesses' data volumes continue to expand, data science has become vital for to inform decision making, strategic planning and marketing techniques. Learn about the latest data science and analytics techniques businesses are incorporating to help identify opportunities to streamline processes, identify potential business ventures and improve customer service.
Top Stories
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News
24 Sep 2025
Incorta unveils features as part of new focus on AI
The vendor's new AI-focused features include a Model Context Protocol layer for developing agents and prebuilt agentic AI capabilities to assist with specific tasks. Continue Reading
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News
23 Sep 2025
New consortium to aid AI by standardizing semantic modeling
An open standard for defining data would simplify data integration and discovery to reduce one of the barriers preventing organizations from successfully developing AI tools. Continue Reading
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Feature
31 Jul 2017
How SAS Enterprise Miner simplifies the data mining process
The SAS Enterprise Miner data mining tool helps users develop descriptive and predictive models, including components for predictive modeling and in-database scoring. Continue Reading
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Feature
26 Jun 2017
Examining the Knime Analytics Platform for big data analytics
Knime offers open source data analytics, reporting and integration tools, as well as commercial software that can help build more efficient workflows. Continue Reading
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Feature
23 Jun 2017
Machine learning platforms comparison: Amazon, Azure, Google, IBM
The platform war over machine learning tools is heating up. Use our features comparison chart to see how four top vendors stack up and help you decide which is right for your enterprise. Continue Reading
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Feature
31 May 2017
A look at the IBM SPSS Modeler and IBM SPSS Statistics analytics tools
The IBM SPSS Modeler and IBM SPSS Statistics predictive analytics tools help users and data analysts build predictive models and manage the analytics process. Continue Reading
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Opinion
06 Oct 2016
Sports data analytics isn't always a slam dunk
The growing trend of analytics in sports has caused much debate, and even though data-driven decisions can provide some benefits, they're not right for all occasions. Continue Reading
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Feature
31 Aug 2016
Why physicists are a good fit for data science jobs
With data scientists in short supply, physicists and other academic researchers from hard-science disciplines are increasingly finding places on data science teams -- and even leading big data analytics projects. Continue Reading
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Feature
13 Oct 2015
Location-tracking system improves business efficiency
For organizations in industries such as healthcare and trucking, analyzing data on the location and movements of employees is helping to streamline operations. Continue Reading
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Feature
05 Mar 2015
Use of analytics in sports media becomes contentious
Analytics are gaining a high profile in sports media, but some fans and commentators say the stats just aren't what they're looking for. Continue Reading
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Feature
12 Dec 2014
Customer analysis a winning play for 'Candy Crush Saga' maker
King Digital Entertainment was losing players of "Candy Crush Saga" at an early stage in the online game -- a problem it solved with help from a customer data analytics project. Continue Reading
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Feature
18 Apr 2014
Laws leave gray area between big data and privacy
Laws on data collection and use remain foggy, leaving businesses to feel their way through big data and privacy laws. Continue Reading
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Opinion
22 Apr 2013
Analytical modeling is both science and art
Models are the key to predicting outcomes to business decisions. And while math may make them tick, it also takes a certain eye -- and ear -- for what works. Continue Reading
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Feature
01 Mar 2012
Five first steps to creating an effective 'big data' analytics program
Choosing the right technology is only half the startup battle on "big data" analytics. Get a list of deployment tips from consultant Lyndsay Wise to help set your organization on the right path. Continue Reading
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Definition
24 Mar 2011
deep analytics
Deep analytics is the application of sophisticated data processing techniques to yield information from large and typically multi-source data sets comprised of both unstructured and semi-structured data. Continue Reading
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Feature
12 May 2009
Simple data mining examples and datasets
See data mining examples, including examples of data mining algorithms and simple datasets, that will help you learn how data mining works and how companies can make data-related decisions based on set rules. Continue Reading
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Feature
12 May 2009
What is a data rollup?
Learn what a data rollup is and read about data rollup macro examples and case studies in this data mining tutorial from the book Data Mining: Know it All. Continue Reading
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Answer
07 May 2008
Data warehousing, data mining and data querying: Terms and definitions
Learn the difference between data warehousing, data mining and data querying. Continue Reading
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Answer
28 Aug 2007
Data mining tools: Advantages and disadvantages of implementation
Learn the advantages and disadvantages of data mining tools and of implementing data mining technology. Continue Reading