The real value of actively analyzing big data would come when we are able to integrate this big data analytics to point of deployments in real time. This webinar will cover point of view on three key considerations for analytics managers while planning for a transformation to real time analytics.
Wednesday, July 23, 2014
8:00 - 9:00 AM PDT (Los Angeles), 11:00 AM - 12:00 PM EDT (New York), 17:00 - 18:00 CEST (Frankfurt)
Online registration is closed.
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This webinar is brought to you by the Vivit Business Intelligence Special Interest Group
and the Vivit Big Data Special Interest Group.
Never before in history there was such a
rich repository of data – from customer footprint to machine logs, from online
buying to social network interactions, and all of this is now being actively
analyzed for insights through big data platforms and solutions. The real value
of this opportunity would come when we are able to integrate this big data
analytics to point of deployments in real time. Traditionally, the availability
of the analytics at point of deployment for decision making in real time has
been a challenge with very few successful use cases that also were primarily
built on somewhat static rules engines. Big data analytics is a potential game
changer in this sense, as it does promise the capability to manage speed and
complexity of analyzing information in real time. The real transformation would
be when big data analytics is brought closest to point of deployment and
converted into real time analytics. However, there aren’t too many use cases
for analytics managers to assess best practices and design successful
deployments of real time analytics.
The webinar will cover point of view on
three key considerations for analytics managers while planning for this
transformation:1. Plan itself for real time analytics leveraging big data
Align business processes and algorithms to minimize
Institute checks and balances for better control of the
Director: Digital and Big Data Analytics
HP Global Analytics
- Pramod Singh is Director of Digital and Big Data Analytics at HP Global
Analytics. He has more than 18 years of leadership experience in design
and implementation of analytics solutions.
- He has been with the HP since
2000 in different roles. For last thirteen years at HP, Pramod has lead
advanced analytics teams in areas of customer knowledge management, e-
business , global business intelligence in IT and digital analytics at
- Before joining HP, Pramod worked at Wal-Mart’s
Information systems. Here, he designed and developed advanced assortment
planning system, a technology that revolutionized the store assortment
practices for Wal-Mart.
- Pramod has PhD in Mathematics from University of
Arkansas and an MBA in Marketing.
- Pramod is author of several published
papers and patent and regular speaker at international conferences.
Sr. Manager: Big Data Analytics
HP Global Analytics
- Ritin is a business analytics
professional with 14 years of experience across consulting, delivery, business
operations, digital media and ecommerce businesses, for businesses across the
US, Europe and APJ.
He has strong experience engaging with
business leadership teams in delivering value from analytics application across
digital media and ecommerce businesses.
Ritin is leading the Big Data Analytics
practice at HP analytics and consults with businesses on the application of Big
Data analytics. He is also developing predictive analytics solutions on machine
and sensor data.