Ai, Machine Learning

“It doesn’t matter how much data you have; unless you can get the insight from it, it is just bits and bytes occupying the storage,” according to Cupid Chan, CTO at Index Analytics. ODPi couldn’t agree more as its new white paper showcases how ODPi members IBM, SAS, Index Analytics and other technical contributors leverage Business Intelligence (BI) and Big Data to get insightful business value.

The annual research takes the pulse of industry leaders and displays insight into how BI can be addressed by Hadoop through multi-structured data and advanced big data analytics.

By 2020, the accumulated volume of big data will increase from 4.4 zettabytes to roughly 44 zettabytes or 44 trillion GB and companies will be charged with turning this data into insight.

Big data technologies like Hadoop have become an ecosystem of open source projects that provide processing engines to perform data transformation and analysis. Many businesses, however, don’t know how to combine the BI with Big Data to get insightful business value.

As an industry practitioner and ODPi lead for the BI & AI Special Interest Group (SIG), Chan discussed and surveyed a few project members and contributors in the technical community to benchmark findings in this annual survey.

“As data sizes continue to grow, it becomes harder and harder to gain visual and analytic insights from it,” added Craig Rubendall, Vice President, Platform Research and Development at SAS. “To be successful, it is imperative to use practices and products built to handle the demands of this environment. SAS is proud to collaborate with the other contributors to share our experience and knowledge.”

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