Business Intelligence Strategies for the CIOEmail Alerts
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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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The wrong way: Worst practices in 'big data' analytics programs
Consultant Rick Sherman details the biggest mistakes to avoid in planning and managing deployments of "big data" analytics tools, from focusing on the technology to overselling projects. Analysis
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BI front-end tools dominate analytics investment plans
Survey Slide Show
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2011 business intelligence (BI) challenges survey
Survey Slide Show
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Advanced analytics programs focused on budgeting, marketing
Survey Slide Show
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Data analytics software challenges: Tying results to actions
Survey Slide Show
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'Analytics in Action' Virtual Seminar
SearchBusinessAnalytics.com presents a free virtual seminar designed to help participants create an effective analytics and business intelligence strategy. Listen on-demand at your convenience. Virtual Seminar
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Test time: What do you know about 'big data' technologies?
Take this short quiz to test your understanding of ‘big data’ technologies, use cases and management issues – plus get recommendations for additional reading on big-data topics. Quiz
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'Big data' analytics: Tapping into transactional data -- and more
In this video Q&A series, business intelligence experts and IT vendor executives explain "big data" technologies and use cases and give tips on how to get started with big-data analytics. Video guide
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Increasing operational efficiency still the biggest BI spending driver
Operational efficiency is the top driver of spending on BI, analytics and CPM technology, a survey shows. Find out where other factors rank in influencing BI tools investments. Slide Show
- See More: Essential Knowledge on Predictive analytics
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SAP plans HANA-ready BusinessObjects for predictive analytics
SAP says that with its new SAP BusinessObjects Predictive Analysis software, customers wanting to perform predictive analytics no longer have to look to third-party vendors. News | 03 Apr 2012
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Don't drop ball on using data analytics tools -- 'big' or otherwise
Analytics software can provide big benefits to organizations -- or trip up the unwary. Before you get started, make sure your company is ready to reap the rewards and avoid the roadblocks. From the Editors | 30 Mar 2012
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Predictive analytics satisfied by skills, training, research shows
Predictive analytics requires support and know-how to create a sustainable program, recent research suggests. News | 27 Mar 2012
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Startup launches 'temporal analytics' engine to visualize Web
A small startup has developed a “temporal analytics” engine, which sifts 100,000 Web pages an hour, extracting data and associating it to time. But can it also predict the future? News | 20 Feb 2012
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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
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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
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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
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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
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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
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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
- See More: News on Predictive analytics
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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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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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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
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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
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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
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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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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
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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
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Has business intelligence (BI) technology become a commodity?
Consultant Mark Madsen discusses the state of business intelligence (BI) technology adoption and maturity. Video
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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
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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
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SAP plans HANA-ready BusinessObjects for predictive analytics
SAP says that with its new SAP BusinessObjects Predictive Analysis software, customers wanting to perform predictive analytics no longer have to look to third-party vendors. News
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Don't drop ball on using data analytics tools -- 'big' or otherwise
Analytics software can provide big benefits to organizations -- or trip up the unwary. Before you get started, make sure your company is ready to reap the rewards and avoid the roadblocks. From the Editors
-
Predictive analytics satisfied by skills, training, research shows
Predictive analytics requires support and know-how to create a sustainable program, recent research suggests. News
-
'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
-
The wrong way: Worst practices in 'big data' analytics programs
Consultant Rick Sherman details the biggest mistakes to avoid in planning and managing deployments of "big data" analytics tools, from focusing on the technology to overselling projects. Analysis
-
Startup launches 'temporal analytics' engine to visualize Web
A small startup has developed a “temporal analytics” engine, which sifts 100,000 Web pages an hour, extracting data and associating it to time. But can it also predict the future? News
-
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
- 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.