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
26 Mar 2025
Databricks partners with Anthropic to aid GenAI development
With the Claude line of models natively available in the Data Intelligence Platform, developers can securely combine data and AI models to build agents and other applications. Continue Reading
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News
20 Mar 2025
Domo unveils agentic AI toolkit to simplify development
Agent Catalyst provides users with a four-step process for developing agentic applications, including selecting an LLM and connecting it to relevant proprietary data. Continue Reading
- 15 Feb 2018
- 15 Feb 2018
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Guide
15 Feb 2018
Guide to using advanced analytics and AI in business applications
AI hype is becoming reality as the technology gains ground in businesses. Get tips on machine learning, cognitive computing and other advanced analytics initiatives in this guide. Continue Reading
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News
13 Feb 2018
IT analysts look for clarity on IBM analytics tools
IBM's analytics software is strong technically but disjointed and hard to understand, say analysts who think simplifying things should be a priority at the company's Think 2018 conference. Continue Reading
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Tip
07 Feb 2018
Beat the challenges of predictive analytics in big data systems
Big data and predictive analytics may seem synonymous, but understanding the constraints of each discipline is the key to extracting business value from projects that combine them. Continue Reading
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Podcast
26 Jan 2018
Talking Data: Is there a difference between AI and analytics?
Any AI definition should include things like predictive analytics, according to some users, even though those practices are straightforward and have been around for decades. Continue Reading
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Feature
22 Jan 2018
Infographic: The evolution of the chief data officer role
The CDO role, which has never been rigidly defined, is undergoing a face-lift as emerging technologies present new opportunities to enterprises. Continue Reading
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Tip
18 Jan 2018
How predictive analytics techniques and processes work
Predictive analytics is no longer confined to highly skilled data scientists. But other users need to understand what it involves before they start building models. Continue Reading
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Feature
12 Jan 2018
Comparing the leading big data analytics software options
This big data analytics tools comparison examines products from the leading vendors and provides insight into how you can differentiate between the various offerings. Continue Reading
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Feature
09 Jan 2018
Insights into buying big data analytics tools
Before purchasing big data analytics software, companies must first identify their specific needs and then evaluate how the product features address those needs. Continue Reading
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Feature
15 Dec 2017
The benefits of using big data analytics software
Tools for big data analytics have a lot to offer, and they come in many varieties. Get to know some of the ways business users and data scientists can use the software. Continue Reading
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Tip
03 Aug 2017
Ten steps to start using predictive analytics algorithms effectively
A successful predictive analytics program involves more than deploying software and running algorithms to analyze data. This set of steps can help you put a solid analytics foundation in place. 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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Definition
07 Apr 2014
MapR
MapR Technologies is a distributed data platform for AI and analytics provider that enables enterprises to apply data modeling to their business processes with the goal of increasing revenue, reducing costs and mitigating risks. 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
