|By Business Wire||
|October 31, 2012 11:33 AM EDT||
Nucleus Research has released its H2 Technology Value Matrix for Analytics, finding that market leaders including IBM, Oracle, and SAP, have improved significantly over the past six months by growing vendor user bases while improving data analysis efficiencies. Companies have sought to creatively integrate non-traditional databases with existing analytics deployments to improve Big Data analysis performance, while expanding these deployments to more users.
The expanded demand for easy and intuitive analytics tools robust enough to handle the scale and complexity of enterprise data is driving broader adoption by significantly reducing employee training. Companies seeking insight shortly after initial set-up reap added benefits by providing data discovery and visualization capabilities to line-of-business employees that can interpret the value of their data in specific areas.
Leading vendors from a usability perspective are focusing on quick and easy deployments that enable rapid user insight. This is allowing organizations to accelerate time-to-value by automating business activities resulting in an average ROI of 188 percent. By expanding access to enterprise data with a standardized approach, companies can gain an incremental ROI of 580 percent. (See also Stages of the Analytic Enterprise)
“Traditional analytics deployments have been surpassed by more intuitive solutions that allow non-technical users to analyze Big Data in appropriate business contexts. Leaders in the Analytics Value Matrix show high usability and functionality in large part because of their ease of use and support of Hadoop and other non-traditional databases that significantly improve data analysis for all users,” said Hyoun Park, principal analyst, Nucleus Research.
The full Value Matrix Report is available at NucleusResearch.com
About Nucleus Research
Nucleus Research is a global provider of investigative, case-based technology research and advisory services that provide real-world insight into maximizing technology value. For more information, visit NucleusResearch.com or follow us on Twitter @NucleusResearch.
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