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Predictive analytics in action: Real-world examples and advice
Predictive analytics tools can help businesses look ahead to the future, for improved decision-making and competitive advantage over rivals. However, if your organization is looking to deploy this kind of advanced-level analytics, you will need to m... E-Handbook
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What predictive analytics pros don't do
Issues come from ineffective or nonexistent business intelligence (BI) and data management processes. Read this e-zine to discover the issues, as well as practices many are neglecting. Topics include five overlooked practices of predictive analytics,... E-Zine
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How the power of predictive analytics software impacts the bottom line
In this e-book, find an in-depth explanation of what predictive analytics is today and and learn about how successful organizations use predictive analytics software to directly impact the bottom line. E-Chapter
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Predictive analytics software: The next big thing in BI?
In this e-book, learn about predictive analytics software and why it’s getting increased attention from prospective users. Read about real-world predictive analytics projects and get expert advice on organizing a predictive analytics program and on d... E-Book
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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) Feature
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Interview: Stafford Murray, head of performance analysis, English Institute of Sport
Stafford Murray and his team’s data analytics efforts at London 2012 helped deliver success for Team GB. How did they do it? Feature
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Predictive analytics programs need open organizational minds
Using predictive analytics tools can help companies move forward more intelligently, particularly when they welcome new ideas on business strategies and processes. Feature
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NASA uses text analytics to bolster aviation safety
NASA relies on numeric data to explain what incidents occur, but text data from incident reports and warning signals reveals why they do. Feature
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Top five things business intelligence and analytics pros overlook
When projects fail to deliver the expected results, the culprit is often inadequate preparation. Program managers and data analysts need to first understand what it is they are getting into. Feature
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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? Feature
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Pacific Northwest BI Summit 2012: 'Big data' analytics and more
Get insight on "big data" analytics, mobile collaboration and other business intelligence and data warehousing trends from participants at this year's Pacific Northwest BI Summit. Conference coverage
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Quiz: Managing 'big data' applications, systems and usage
After listening to Mark Smith's BI University webcasts, test yourself to see how well you've retained his key points and recommendations about effective management and use of "big data." Quiz
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Quiz: Advanced analytics techniques and best practices
After listening to consultant Tony Rathburn's BI University webcasts on advanced analytics, test your knowledge of predictive analytics processes and how to best use analytics tools. Quiz
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'Big data' analytics programs require tech savvy, business know-how
Consultant Rick Sherman details the skill sets and roles that he thinks are vital to the success of "big data" analytics initiatives. Technical skills alone aren't enough, he says. Analysis
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Lean analytics to change business decision making
Attending to the “one metric that really matters” is one principle of a “lean analytics” approach Interview | 10 May 2013
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Enterprise Data World reveals nine principles of analytics rock stars
In a presentation at Enterprise Data World 2013, consultant Bernard Wehbe detailed what sets indispensable analytics professionals apart from the rest of the crowd. Intelligence File | 02 May 2013
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Big data analytics firm offers insights into the U.S. Latino consumer
Luminar's Franklin Rios explains how his company is using Hortonworks' Hadoop distribution to deliver insights about the Latino community. News | 22 Apr 2013
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Big data technologies promise major advances in health and science
Big data analytics efforts are poised to improve everything from public health to particle physics, and people like Cloudera's Jeff Hammerbacher are leading the way. Intelligence File | 19 Apr 2013
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Data science team building 101: Cross-functional talent key to success
Two experienced data scientists offer tips on best practices for setting up data science teams and incorporating big data into data science programs. The Data Scientist | 15 Apr 2013
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SAS report offers Rx for companies lacking in analytical capabilities
Effective communication and executive buy-in are essential elements for companies wanting to become 'analytical innovators,' according to software vendor SAS Institute. Intelligence File | 05 Apr 2013
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Predictive analytics adoption triples, says Accenture
Chief data officers are rising to the leadership of business analytics programmes more quickly than expected data analytics | 05 Mar 2013
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Strata speaker calls for increased focus on data scientist education
Society should do more to encourage the next generation of data scientists, according to a speaker at last week's O'Reilly Strata Conference. Data Science Careers | 04 Mar 2013
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Strata speaker cites key characteristics for success in data science
Senior research scientist Rachel Schutt offers a rundown of the common traits shared by people who have been successful in the field of data science. Data Science Careers | 01 Mar 2013
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Adfonic processes 50,000 mobile ads per second with big data architecture
Mobile advertising firm Adfonic serves 50,000 ad impressions per second for clients on smartphones and tablets. SQL, MySQL and NoSQL all play a part Case study | 19 Feb 2013
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What is social media analytics software, and what does it do?
Learn the basics of what social media analytics software is and how it and text analytics can benefit companies. Get a definition of and use case for social media analytics. Answer
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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. Answer
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Analytics and integration software for collecting customer data
If you’re collecting customer data for analysis, learn about options such as data integration technology and third-party systems for collecting customer data from external sources. Answer
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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. Answer
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Using business intelligence in marketing analytics
Find out how to use business intelligence in marketing analytics and how BI skills can be used in marketing to understand customers and buying patterns. Ask the Expert
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Business intelligence in management careers
Learn how you can use business intelligence in management careers and how to build a management resume with business intelligence experience. Ask the Expert
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Can data mining expertise help my career?
Learn if acquiring data mining expertise is a wise career move that will help you find a job. Ask the Expert
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polynomial interpolation
Polynomial interpolation is a method of estimating values between known data points. When graphical data contains a gap, but data is available on either side of the gap or at a few specific points within the gap, an estimate of values within the gap ... Definition
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correlation coefficient
A correlation coefficient is a statistical measure of the degree to which changes to the value of one variable predict change to the value of another. In positively correlated variables, the value increases or decreases in tandem. In negatively corre... Definition
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negative correlation
A negative correlation is a relationship between two variables such that as the value of one variable increases, the other decreases. Correlation is expressed on a range from +1 to -1, known as the correlation coefficent. Values below zero express n... Definition
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positive correlation
A positive correlation is a relationship between two variables such that their values increase or decrease together. Correlations are ranked on a scale from +1 to -1. In a perfect positive correlation, ranked as +1, an increase or decrease in one var... Definition
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causation
Causation, or causality, is the capacity of one variable to influence another. The first variable may bring the second into existence or may cause the incidence of the second variable to fluctuate. Definition
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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 registratio... Definition
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data science
Data science is the study of where information comes from, what it represents and how it can be turned into a valuable resource in the creation of business and IT strategies. Definition
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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. Definition
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descriptive modeling
Descriptive modeling is a mathematical process that describes real-world events and the relationships between factors responsible for them. Definition
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big data analytics
Big data analytics is the process of examining large amounts of different data types, or big data, in an effort to uncover hidden patterns, unknown correlations and other useful information. Definition
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Jim Goodnight on SAS in-memory analytics and the data scientist
A podcast Q&A with SAS execs Jim Goodnight and Jim Davis looks at big data enablers, including in-memory analytics, and the role of data scientists. Podcast
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O'Reilly Strata conference tackles big topics in data science, Hadoop
The O'Reilly Strata conference was the place to be to learn about the role of the data scientist and big data technologies. Podcast
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'Big data' analytics: Hype or the real thing?
Is there real value to be gained by analyzing "big data"? And what challenges does big data present to organizations? Consultant Jill Dyche answers those questions and more in a video interview. Video
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'Big data' analytics 101: Practical advice on getting started
In a video interview, consultant William McKnight provides an explanation of "big data" basics: what big data is and the issues that are involved in managing and analyzing it. Video
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Q&A: Composite Software on 'big data' integration, analytics
Composite Software exec Robert Eve talks about the challenges of "big data" analytics, offers advice on managing big data projects and discusses Composite's approach to integrating big data. Video
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Tyagi: 'Big data' technology a solution in search of right problems
Not every data problem requires "big data" technology, says consultant Vineet Tyagi. In a video Q&A, he discusses good uses for big data tools and offers tips on managing a big data project. Video
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'Big data' analytics, mobile BI apps help U.S. Xpress truck more data
In a video Q&A, Timothy Leonard of U.S. Xpress explains how the trucking company uses big data analytics, real-time BI software and mobile BI apps in unison to make important business decisions. Video
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Eckerson: 'Big data' analytics weighs a mix of the old and new
In a video interview, business intelligence analyst Wayne Eckerson offers tips on using big data analytics software and related big data technology. He also gives his view of what big data really is. Video
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Top five biggest business intelligence (BI) 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. Photo Story
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Why you should keep your 'big data' technology small -- for now
In a video interview at the Strata Conference 2011, Forrester Research analyst James Kobielus explains why it’s important for companies with big-data installations to optimize their storage systems. Video
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Jim Goodnight on SAS in-memory analytics and the data scientist
A podcast Q&A with SAS execs Jim Goodnight and Jim Davis looks at big data enablers, including in-memory analytics, and the role of data scientists. Podcast
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Lean analytics to change business decision making
Attending to the “one metric that really matters” is one principle of a “lean analytics” approach Interview
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Enterprise Data World reveals nine principles of analytics rock stars
In a presentation at Enterprise Data World 2013, consultant Bernard Wehbe detailed what sets indispensable analytics professionals apart from the rest of the crowd. Intelligence File
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polynomial interpolation
Polynomial interpolation is a method of estimating values between known data points. When graphical data contains a gap, but data is available on either side of the gap or at a few specific points within the gap, an estimate of values within the gap ... Definition
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Big data analytics firm offers insights into the U.S. Latino consumer
Luminar's Franklin Rios explains how his company is using Hortonworks' Hadoop distribution to deliver insights about the Latino community. News
-
Big data technologies promise major advances in health and science
Big data analytics efforts are poised to improve everything from public health to particle physics, and people like Cloudera's Jeff Hammerbacher are leading the way. Intelligence File
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Data science team building 101: Cross-functional talent key to success
Two experienced data scientists offer tips on best practices for setting up data science teams and incorporating big data into data science programs. The Data Scientist
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SAS report offers Rx for companies lacking in analytical capabilities
Effective communication and executive buy-in are essential elements for companies wanting to become 'analytical innovators,' according to software vendor SAS Institute. Intelligence File
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O'Reilly Strata conference tackles big topics in data science, Hadoop
The O'Reilly Strata conference was the place to be to learn about the role of the data scientist and big data technologies. Podcast
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Predictive analytics adoption triples, says Accenture
Chief data officers are rising to the leadership of business analytics programmes more quickly than expected data analytics
- See more All on Predictive analytics
About Predictive analytics
Make sense of the complex predictive analytics and advanced analytics markets with exclusive articles, resources and research studies. Find out how to evaluate and deploy predictive analytics and data analytics software, tools and applications, read recent analytics case studies and learn more about related disciplines such as business intelligence, text mining, data mining, mobile analytics, sales force analysis and retail analytics.