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Analytics for Human Information: HP’s HAVEn - Delivering Operational Omniscience through Big Data

ChrisSurdak ‎04-10-2014 01:52 PM - edited ‎02-19-2015 01:37 PM

This week, I co-paneled the closing keynote for the Intergovernmental Technology Conference (ITC) East in Harrisburg, PA.  The panel consisted of some industry heavy-hitters:

  • Doug Collins, Sr. App Sales Director, AT&T
  • Mark Cleverley, Director, Public Safety Solutions, IBM
  • Stuart McKee, National Technology Officer, U.S. Public Sector, Microsoft
  • Lauren Farese, Senior Director, Oracle Technology, Oracle
  • Crystal Cooper, Vice President, Public Sector North America, Unisys
  • Todd Adams, Director of Technology, New Product Development, Verizon
  • Jim Lundy, CEO & Lead Analyst, Aragon Research

We were there to discuss the relevance of Big Data in the world of state governments, and how changes in society due to the proliferation of technologies such as mobility and social media are changing the landscape for government agencies.


Early in the discussion, Mark Cleverley brought up a very salient point that struck a chord with me.  He mentioned that government agencies are under greater pressure than ever before to respond to natural and man-made disasters, and to do so in a manner that minimizes their impact upon society. As our world becomes
more and more intertwined, interdependent and automated, any disruption to society’s value chains cascade

across our world far beyond the area immediately impacted by a disaster.  The repercussions of a disaster can echo on for weeks or months, and affect far greater numbers of people than ever before, due to our interconnectedness.


The upswing of this, as Mark pointed out, is that government agencies are under the expectation of anticipating and mitigating the impacts of disasters, and these expectations are rising as the citizenry becomes ever more comfortable with their appified, socialfied, connected world. 


Operational Omniscience

As I considered the need to anticipate and mitigate the impact of disasters, a term came to mind which I will add to my lexicon going forward: Operational Omniscience (OO).  OO is the ability to access, join, and synthesize massive quantities of disparate data from widely-distributed sources, in real-time, so that an organization can have such event anticipation.  Necessarily, it means acting upon real-time data and stepping towards predictive analytics so that issues can be effectively managed ahead of time.


An example of this might be the pre-positioning of snow-removal equipment in areas that may be impacted by an upcoming winter storm.  It could be the identification and interference with gang activities, found through context analysis of gang member social media traffic.  It could be the automated, proactive dispatch of EMT resources to the site of an accident that was just tweeted by a passerby.  In each case, the necessary data exists in droves.  It’s the collection, rationalization, synthesis and response that needs to be created and deployed in order to make such OO a reality.


Fortunately, such capability is achievable with contemporary technologies from HP.  Our HAVEn platform has been specifically architected to make such solutions not only possible, but imperative.


Delivering optimal responses to life’s less-than-optimal challenges—quickly, seamlessly and effectively—is a mantra that many government agencies are seeking to embrace.  With HAVEn from HP, Operational Omniscience is within their reach, and the citizenry can rest a bit easier in the knowledge that when disaster occurs, effective help will not be far away in time or space.




For more from this author, click here to read his Big Data Myths blog series.

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About the Author


Chris Surdak is a Subject Matter Expert on Information Governance, analytics and eDiscovery for HP Autonomy. He has over 20 years of consulting and technology experience, and holds a Juris Doctor from Taft University, an MS from the Wharton School at the University of Pennsylvania, a CISSP Master's Certificate from Villanova and a BS in Mechanical Engineering from Penn State. Chris is author of the Big Data strategy book, "Data Crush," which was recently nominated as International Book of the Year for 2014, by GetAbstract. Chris is also contributing editor and columnist for European Business Review magazine.

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