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The race to big data value- Part 1


By Dragan Rakovich, Chief Technologist – IM&A

& Ed Silva, Integrated Information Solutions Practice leader, HP Enterprise Services


Big Data is not a fad. The name might disappear, but it will be an enterprise capability permanently.


Big Data refers to all that data inside and outside your organization that you always wanted to get access to but couldn’t.  It is represented by streams of structured and unstructured information from sensors, images, audio, video, click streams, social media posts, GPS signals, data bases and transaction records. This massive pool of data is a rich resource for big value.


For example, UPS harnessed engine sensor data from its truck fleet to detect heat and vibration patterns correlating with breakdowns. By identifying these patterns as early breakdown indicators, the company was able to keep its fleet running while minimizing costly repairs.


When it comes to success with Big Data, it’s about the details. Generating success means aligning IT and business strategy, mobilizing resources, and developing an effective Big Data solution strategy and plan—an epic challenge. And the race for value is on. Any organization with hopes of remaining relevant in this environment of rapidly expanding data streams must be recognized as a digitally driven enterprise.



Why? In a word, results. According to the Harvard Business Review, data-driven enterprises demonstrate greater productivity and higher revenue growth. And Big Data is a fertile ground for mining valuable insights and feeding predictive capabilities. Successfully mining, analyzing, and incorporating Big Data into the enterprise will heighten your agility and sharpen your competitive edge.



The CIO challenge

Data is hitting the enterprise from all sides in massive amounts at an accelerating rate. Ninety percent of all of the data in the world today has been created just in the last two years. Example: In 2012, there were 2.7 trillion gigabytes of data globally. That sum is expected to grow to 40 trillion gigabytes by 2020. Massive amounts of useful enterprise information are getting lost in the deluge.


Yet the most significant challenge is not the amount of data or the ability to process it. It’s distilling useful information and integrating it into the enterprise to generate value. For this reason, analytics will become the central driver of application development in the future.


Read more on the race to big data value and the results of an HP survey on the topic in part two of this article, coming soon!



About Dragan Rakovich

Dragan Rakovich is the Chief Technologist for HP Enterprise Services worldwide IM&A. He’s responsible for innovation and Big Data strategy, as well as thought leadership and strategic guidance to clients. Rakovich is also an HP Distinguished Technologist, a title awarded to thought leaders whose contributions have lasting technical impact.







EdSilva.jpgAbout Ed Silva

Ed Silva leads the HP Enterprise Services Integrated Information Solutions Practice within Information Management & Analytics. He has responsibility for developing and delivering information management services and solutions that address clients’ Big Data challenges – especially with structured and unstructured data.

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