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
13 Feb 2025
IT orgs expand business observability beyond their own walls
Business observability could soon become a part of your IT environment, even if you're not the one who originally thought of it. Continue Reading
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News
13 Feb 2025
Confluent, Databricks partner to simplify AI development
With a new integration, joint customers can more easily access real-time streaming data to develop, deploy and maintain trusted AI models and applications. 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