Predictive analytics
Predictive analytics is a form of advanced analytics that uses current and historical data to forecast activity, behavior and trends.. See complete definition.
Top Stories
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Feature
11 Feb 2022
Good data-driven decision-making avoids common pitfalls
Avoiding cognitive biases that can lead to the use of incomplete or inaccurate data is crucial to the successful use of analytics. Continue Reading
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News
31 Jan 2022
Tibco, Citrix to merge after Citrix acquired by Vista
The combination will join the analytics vendor's capabilities with a digital workspace and app delivery platform used by 98% of the Fortune 500. The deal is worth $16.5 billion. Continue Reading
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Feature
31 Jan 2018
How to do a machine learning platform comparison
Experts share their top criteria for choosing the right machine learning vendor in a market that has become crowded and confusing in the last couple years. Continue Reading
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Feature
30 Jan 2018
Chatbot applications must get better at chatting to engage users
Today's AI chatbots are good at taking orders and delivering scripted responses, but experts say tomorrow's chatbots need to be more conversational in order to deliver bigger value. 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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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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Tip
17 Jan 2018
How to use machine learning to build a predictive algorithm
Machine learning is an invaluable tool for solving business problems, but don't jump into it for predictive analytics without understanding these important factors. 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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Photo Story
08 Jan 2018
IoT predictions 2018: What will the next year of connectedness bring?
The internet of things is in full swing -- but what will the next year bring? Industry experts look into their crystal balls and offer IoT predictions for the year ahead. 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
21 Nov 2017
Hiring vs. training data scientists: The case for each approach
Hiring data scientists is easier said than done -- so should you try to train current employees in data science skills? That depends on your company's needs, writes one analytics expert. 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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News
25 Jul 2017
AA Ireland turns to predictive analytics in fraud crackdown
Roadside assistance company invests in analytics software to fight fraud and introduce dynamic pricing after its split with the AA 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
23 Jun 2017
MicroStrategy CEO Michael Saylor speaks about ‘expanding universe’ of BI
Co-founder and CEO of MicroStrategy takes the long view on business intelligence and sees its universe expanding with mobile technologies Continue Reading
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News
05 Jun 2017
How Facebook uses deep learning models to engage users
At Facebook it's all about user engagement, and to accomplish this, the company relies heavily on deep learning algorithms to tailor its products to the interests of individuals. 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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Definition
30 Mar 2017
R programming language
The R programming language is an open source scripting language for predictive analytics and data visualization. Continue Reading
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Podcast
12 Jan 2017
Flurry of technology M&A foreshadows 2017 trends
As the market continues to undergo a series of major mergers and acquisitions, some observers say to expect more technology M&A in 2017. Continue Reading
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Podcast
11 Jan 2017
Enterprise AI skyrockets -- IoT doesn't: More 2017 technology trends
Enterprise AI and market consolidation will continue to cast their shadows unabated in 2017. Continue Reading
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Podcast
03 Jan 2017
Three key 2017 technology trends to know
Predictive analytics, voice-activated devices and artificial intelligence will take shape as significant technology trends in 2017. Some still await further maturity. 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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News
12 Feb 2016
Spark a natural fit for IoT data analytics
IoT big data analytics is needed to make sense of the mountains of data coming from industrial equipment and Spark may be up to the task. Continue Reading
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Definition
30 Oct 2015
funnel analysis
Funnel analysis is a way to measure and improve the performance of customer interactions in a step-wise progression from the initial customer contact to a predetermined conversion metric. Continue Reading
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Feature
03 Aug 2015
Digital transformation needs business leaders to develop new skills
A panel of experts discuss the capabilities business leaders and corporate IT need to develop for digital Continue Reading
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Definition
19 May 2015
Scala (Scalable Language)
Scala is a software programming language that mixes object-oriented methods with functional programming capabilities. It was used to create the scalable Spark analytics engine. Continue Reading
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Definition
14 Apr 2015
revenue attribution
Revenue attribution is the process of matching customer sales to specific advertisements in order to understand where revenue is coming from and optimize how advertising budgets are spent in the future. 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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News
07 Jan 2015
Case study: UniCredit uses Fico to apply prescriptive analytics to risk management
Italian bank UniCredit is using Fico software to apply prescriptive analytics to risk management 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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Definition
12 Sep 2014
data journalism
Data journalism in an approach to writing for the public in which the journalist analyzes large data sets to identify potential news stories. Continue Reading
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Feature
08 Sep 2014
Sweden’s Klarna and Spotify design big data architectures to aid business growth
Many organisations still don't know how to capitalise on big data. Swedish firms Klarna and Spotify are making use of its possibilities Continue Reading
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Podcast
11 Apr 2014
IDC analysts see more Internet of Things projects ahead
At IDC Directions, analysts predict more Internet of Things projects in the near future. Continue Reading
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Quiz
16 Oct 2013
Quiz: Creating effective predictive analytics programs
Take this brief quiz to test your knowledge of predictive analytics and what is needed to implement successful predictive modeling processes. Continue Reading
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News
10 May 2013
Lean analytics to change business decision making
Attending to the “one metric that really matters” is one principle of a “lean analytics” approach Continue Reading
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Feature
06 Feb 2013
Rugby Football Union uses IBM predictive analytics for Six Nations
IBM tries out predictive analytics software, TryTracker, developed in association with the Rugby Football Union (RFU) Continue Reading
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Definition
03 Dec 2012
implicit data
Implicit data is information that is not provided intentionally but gathered from available data streams. Implicit data contrasts with explicit data, which is data that is provided intentionally, for example through surveys and membership registration forms. Continue Reading
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News
09 Nov 2012
German retailer Otto invests in neural software to net future sales
German retail giant Otto improves demand forecasting with neural network technology from Blue Yonder, a predictive analytics start-up Continue Reading
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Definition
11 Sep 2012
e-score
The e-score is a consumer rating metric used to to determine an individual's potential value as a customer and to use that information to guide marketing efforts. Continue Reading
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Feature
17 Jul 2012
Predictive sports analytics put in play for Wimbledon, Formula One
Predictive analytics in sports is proving itself in tennis and car racing. Can it make the leap to team sports, long the preserve of barroom anoraks? Continue Reading
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Definition
11 Jun 2012
descriptive modeling
Descriptive modeling is a mathematical process that describes real-world events and the relationships between factors responsible for them. Continue Reading
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News
25 May 2012
SAS: High-performance analytics frees data scientists to model faster
High-performance analytics on "big data" could aid European companies as they struggle to make headway in the recession, say senior SAS executives. All sectors are turning to big data, they claim. Continue Reading
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Tip
24 May 2012
'Big data' analytics danger: Death by a thousand cuts
Companies that view "big data" and associated analytics processes as the ultimate answer to business decision-making needs do so at their own peril, writes BeyeNetwork expert Barry Devlin. Continue Reading
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News
04 Jan 2012
Biggest business intelligence software stories of 2011
From the explosion of "big data" analytics to data quality issues plaguing business intelligence (BI) programs to data mining privacy concerns, there was no shortage of must-read BI stories in 2011. Continue Reading
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News
14 Dec 2011
Crafting analytical models
Model-making is at the heart of advanced analytics, says TechTarget's Wayne Eckerson. And BI pros need to understand the process so they can support the data needs of analytical modelers. Continue Reading
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News
02 Oct 2011
Data scientists helping businesses navigate 'big data' seas
Skilled professionals known as data scientists have become highly sought-after by companies such as LinkedIn, Facebook and Google to perform advanced analytics on growing data sets. 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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Answer
04 Jan 2011
Customer data you should collect for your customer analytics program
Every piece of customer data you can collect is potentially important to your customer analytics program, according to customer data analytics expert Richard Snow. Find out why. Continue Reading
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Answer
11 Nov 2010
Is your company primed for social media analytics?
Are some companies primed to get more use out of social media analytics than others are? Find out, plus learn how a social media analytics strategy compares to BI strategies. Continue Reading