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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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. Analysis
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'Big data' analytics projects easier said than done -- but doable
Putting an effective "big data" analytics plan in place can be a challenging proposition. Consultant Lyndsay Wise offers her advice on what to consider and how to get started. Analysis
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To glean value from 'big data' projects, it may take more than Hadoop
Organizations will have to push beyond storage requirements and basic business intelligence tools to exploit big data, according to a Gartner analyst. News | 16 May 2012
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BI data integration process challenged by real-time needs, 'big data'
User demands for faster access to business intelligence data and the rise of "big data" analytics are complicating data integration for BI systems. News | 02 May 2012
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Basic vs. complex: Companies walk the line on analytics best practices
Businesses looking to build effective business intelligence and analytics programs have to toe the line between focusing on the basics and using new technology to build more complex BI systems. From the Editors | 30 Apr 2012
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IDC, Wikibon size up the 'big data' market
Analysts calculate how, well, big the market has become, indicating considerable growth three and even five years out, though the projections differ dramatically. News | 19 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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Federal government to invest in 'big data' for science, technology R&D
The federal government has announced a $200 million initiative for “big data” research, education and training. News | 30 Mar 2012
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'Big data' breathes new life into CEP software
Complex event processing (CEP) technology is poised to move from the backwaters of data management to center stage, says TechTarget's Wayne Eckerson. The primary driver? "Big data." Analysis | 26 Mar 2012
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To be unstructured data is to be misunderstood
Mark Madsen questions why people take the wrong approach with unstructured data, abandoning their experiences with demographics and market research. News | 15 Mar 2012
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'Big data' management changing the face of data warehousing
Gartner says the onslaught of “big data” is turning data warehouses into distributed data processing platforms. But Hadoop and other big data tools aren’t as widespread as you might think -- yet. From the Editors | 29 Feb 2012
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'Big data' technologies glimmer in the spotlight, but is it deserved?
"Big data" continues to make headlines as vendors announce new products for managing and analyzing it. You’re not alone, though, if you have yet to jump on the big data bandwagon. From the Editors | 29 Feb 2012
- See More: News on Big data analytics
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Top six data management software stories of 2011
From the rise of "big data" to office politics hampering MDM projects to Hewlett-Packard giving Neoview the ax, and more, there were plenty of notable data management stories in 2011. Photo Story
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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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To glean value from 'big data' projects, it may take more than Hadoop
Organizations will have to push beyond storage requirements and basic business intelligence tools to exploit big data, according to a Gartner analyst. News
-
BI data integration process challenged by real-time needs, 'big data'
User demands for faster access to business intelligence data and the rise of "big data" analytics are complicating data integration for BI systems. News
-
Basic vs. complex: Companies walk the line on analytics best practices
Businesses looking to build effective business intelligence and analytics programs have to toe the line between focusing on the basics and using new technology to build more complex BI systems. From the Editors
-
IDC, Wikibon size up the 'big data' market
Analysts calculate how, well, big the market has become, indicating considerable growth three and even five years out, though the projections differ dramatically. News
-
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
-
Federal government to invest in 'big data' for science, technology R&D
The federal government has announced a $200 million initiative for “big data” research, education and training. News
-
'Big data' breathes new life into CEP software
Complex event processing (CEP) technology is poised to move from the backwaters of data management to center stage, says TechTarget's Wayne Eckerson. The primary driver? "Big data." Analysis
-
'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
-
To be unstructured data is to be misunderstood
Mark Madsen questions why people take the wrong approach with unstructured data, abandoning their experiences with demographics and market research. News
- See More: All on Big data analytics
About Big data analytics
Big data analytics can help organizations gain valuable business insights from large pools of both structured transaction data and unstructured information, such as Web activity logs and social media data. But it presents big challenges, too. Here, you’ll find articles on big data analytics software and trends, get tips on managing a big data analysis project in your organization and see how other businesses are handling the process of managing and analyzing big data. You’ll also find big data conference coverage and expert advice on how to structure a big data analytics program and how to evaluate, choose and implement big data software. In addition, readers will learn how technologies such as Hadoop, MapReduce and data mining and predictive analytics tools can play a role in big data analytics initiatives.