BI on Big Data with instant response times at Verizon

BI on Big Data with instant response times at Verizon

Wednesday, June 20
11:50 AM - 12:30 PM
Meeting Room 230B

As one of the world's largest communications companies, Verizon faced the challenge of analyzing all the video viewership data from its 6+ Million viewers to assess a variety of metrics like viewing patterns, popular channels, popular programs, prime time viewership, VOD / DVR consumption etc. Queries would often take hours or even days to run and more to evaluate, resulting in the company only running the analysis periodically. This led to lag times in Verizon's ability to respond to network, content, customer and company problems. Using Kyvos, Verizon was able to build a BI Consumption Layer that helped them analyze this massive data in its entirety, with the ability to slice and dice and drill down to the lowest levels of granularity, with instantaneous response times. Analysis across mediums, viewers, geographies and diagnostics have enabled Verizon to get faster, deeper insights at a more granular level, and optimize their engagement with partners and customers.

Presentation Video

SPEAKERS

Arun Jinde
Technical Architect
Verizon
Arun is a senior member of technical staff at Verizon and is responsible for Video Analytics and BI applications on their Big Data Platform. He works on designing the platform that collects user interactions of millions of STBs and mobile devices in real time and builds business insights. He makes it easier for business units to create metrics and analytics of user's video usage, STB diagnostics and network performance.
Ajay Anand
VP Products
Kyvos Insights
Ajay Anand is the Vice President of Products & Marketing at Kyvos Insights. His association with Hadoop goes back to 2007, when he was Director of Product Management at Yahoo and led their initial Hadoop projects and releases, after which he founded Datameer. Ajay also held product management and market development roles at SGI and Sun. Ajay earned an M.B.A. and an M.S. in computer engineering from the University of Texas at Austin, and a BSEE from the Indian Institute of Technology.