-
Financial planning a big motivator for advanced analytics adoption
What’s the leading driver of advanced analytics adoption? Financial planning, according to a recent survey. Find out what else motivates companies to adopt analytics technology. Slide Show
-
Creating an advanced data analytics business culture: Tips and advice
Data analytics can help drive better business decisions, according to users and analysts. But creating an analytics business culture usually requires high-level executive support. News
-
Business intelligence, CPM and analytics guides and tutorials
These BI, CPM and analytics learning guides and tutorials can help users optimize their use of their BI software CPM applications and analytics tools and technologies. Tutorial List
-
Law enforcement data mining and predictive analysis: Techniques and tools
Learn various data mining techniques -- such as discovery and prediction, and confirmation and discovery -- and read about data mining tools and trends in the law enforcement industry. Chapter Download
-
Law enforcement data mining, predictive analysis: Terms, errors of data mining for violent crime
Get definitions and explanations of data mining and predictive analysis terms, and learn four data mining errors to avoid in law enforcement -- or any in context. Book Chapter
-
Customer intelligence: From data to dialogue
Learn about the business value of customer intelligence and how customer intelligence is critical to building competitive advantage. Chapter Download
- See More: Essential Knowledge on Predictive analytics
-
From the Editors: Getting started on a 'big data' analytics program
Does your organization have a firm grasp on what "big data" is? That's a good place to begin on a big data analytics project, but don’t forget about basic IT blocking and tackling. From the Editors | 31 Jan 2012
-
SAS CEO Goodnight on revenue, talent, collaboration and the year ahead
SAS Institute CEO Jim Goodnight celebrates another profitable year for the privately held software vendor and considers the data and analytics road ahead for 2012. News | 24 Jan 2012
-
Q&A: Effective predictive modeling techniques more than a math problem
In an interview, analytics and data mining consultant John Elder offers advice on managing successful predictive modeling initiatives and a head’s up on common mistakes to avoid. News | 12 Jan 2012
-
Building predictive models requires business engagement, mix of skills
To generate useful predictive analytics results, predictive modeling teams need a combination of analytical and business know-how plus close ties to business users, say analytics pros and consultants. News | 10 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. Photo Story | 04 Jan 2012
-
Skills shortage, training present pitfalls for 'big data' analytics
A shortage of skilled data scientists and a user-unfriendly set of technologies are the biggest obstacles impeding big data analytics programs, say analysts and IT professionals. News | 01 Jan 2012
-
Best practices for 'big data' analytics rely on familiar disciplines
The terrain may seem foreign, but many proven data management and business intelligence best practices translate well to big data analytics programs, according to analysts. News | 30 Dec 2011
-
From the Editors: Looking back, looking ahead on advanced analytics
Big-data analytics and other forms of advanced analytics will be a big battleground for BI vendors in 2012. Our recent coverage highlights that, and ways users can up their analytics game. From the Editors | 22 Dec 2011
-
Copper keeper: Advanced data visualization helps curtail copper thefts
A Virginia-based energy company is relying on advanced data visualization, geospatial data and visual analytics to stay a step ahead of thieves who’ve taken a shine to copper wire. News | 21 Dec 2011
-
Q&A: Lack of trust in predictive analytics models can snarl projects
In an interview, predictive analytics consultant Eric Siegel offers advice on building organizational trust in the findings of predictive models -- and warns how the process can go wrong. Q&A | 16 Dec 2011
- See More: News on Predictive analytics
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
data scientist
A data scientist is an emerging title in the fields of data management and analytics that generally refers to a highly skilled employee capable of diving into large data sets, filtering out the noise and finding the nuggets that will help to deliver ... Definition
-
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. Definition
-
association rules (in data mining)
Association rules are if/then statements that help uncover relationships between seemingly unrelated data in a transactional database, relational database or other information repository. Definition
-
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
-
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
-
Business data analytics tools: benefits, challenges and advice
Get an overview of the potential benefits of using data analytics software and common challenges involved in deploying analytics tools from Ventana analyst David Menninger. Podcast
-
An introduction to today’s advanced data analytics technology options
Get an overview of advanced data analytics software, including a discussion of the potential uses of analytic technology and advice on creating an advanced analytics strategy. Podcast
-
Has business intelligence (BI) technology become a commodity?
Consultant Mark Madsen discusses the state of business intelligence (BI) technology adoption and maturity. Video
-
Use data analytics to make better business decisions
Listen to a Q&A with Accenture's Jeanne Harris and learn how to put data analytics to work in your organization. Podcast
-
In-database analytics demystified
In this podcast, you'll hear a vendor-neutral, executive overview of in-database analytics technology. Find out how the technology works -- and how companies are leveraging it. Podcast
-
From the Editors: Getting started on a 'big data' analytics program
Does your organization have a firm grasp on what "big data" is? That's a good place to begin on a big data analytics project, but don’t forget about basic IT blocking and tackling. From the Editors
-
SAS CEO Goodnight on revenue, talent, collaboration and the year ahead
SAS Institute CEO Jim Goodnight celebrates another profitable year for the privately held software vendor and considers the data and analytics road ahead for 2012. News
-
Q&A: Effective predictive modeling techniques more than a math problem
In an interview, analytics and data mining consultant John Elder offers advice on managing successful predictive modeling initiatives and a head’s up on common mistakes to avoid. News
-
Building predictive models requires business engagement, mix of skills
To generate useful predictive analytics results, predictive modeling teams need a combination of analytical and business know-how plus close ties to business users, say analytics pros and consultants. News
-
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
-
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. Photo Story
-
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
-
Skills shortage, training present pitfalls for 'big data' analytics
A shortage of skilled data scientists and a user-unfriendly set of technologies are the biggest obstacles impeding big data analytics programs, say analysts and IT professionals. News
-
Best practices for 'big data' analytics rely on familiar disciplines
The terrain may seem foreign, but many proven data management and business intelligence best practices translate well to big data analytics programs, according to analysts. News
-
From the Editors: Looking back, looking ahead on advanced analytics
Big-data analytics and other forms of advanced analytics will be a big battleground for BI vendors in 2012. Our recent coverage highlights that, and ways users can up their analytics game. From the Editors
- 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.