Modernizing Data Management: A Back-to-Basics Approach
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  Prabhakar Bhogaraju   Prabhakar Bhogaraju
Vice President, Enterprise Data Management
Fannie Mae


Tuesday, September 20, 2016
12:00 PM - 12:45 PM

Level:  Business/Strategic

Data lakes, pools, puddles, reservoirs; the logical data warehouse; enterprise data hubs; hybrid data architecture – these concepts, products and buzz are both exciting and possibly overwhelming at the same time. Impressive use-cases of scale are all around us, offering new and powerful insights from data. How do enterprises make sense of all the chatter out there, and more importantly, where does one begin?

Taking the time to look at the basics of why you are in the business of managing enterprise data is a good starting point to advance your journey. What business functions do you support or conduct? What is your data supply chain? What data management needs do you have? It is very likely you have needs across transactional, integration, warehousing, reporting / analytics, and even master data management. Assess if you have use-cases for structured and unstructured, and if an integration across those is necessary. Approach your journey with an eye toward your needs and begin exploring a technology framework that best supports your mission. Understand the human capital implications of your choices: do you have the right bench to execute?

In this talk, I will provide a brief overview of a Fannie Mae data case for change that is broadly applicable to enterprises, our back-to-basics data management approach, and how we developed a realistic strategy that leveraged our existing data management capabilities and drove us to embrace emerging processes, techniques and technologies. I will also outline how we manage our most valuable assets – our people – to guide our strategy and realize our mission.

Prabhakar Bhogaraju is Fannie Mae’s Vice President of Enterprise Data Management. Reporting to the Chief Data Officer, Bhogaraju leads the company’s data architecture function; oversees enterprise data modeling, data quality, and meta-data initiatives; and directs key work streams for Business Intelligence, Extract Transform Load (ETL), and emerging Big Data infrastructure needs. Prabhakar has over 16 years of experience in technology and the mortgage banking industry. Since joining Fannie Mae in 2001, he has worked on a number of key technology initiatives across origination, pricing, and loss mitigation business units. He has worked on several research, technology, and management consulting projects at The Summit Point Group, A.T. Kearney, and MindBox. Prabhakar has a master of science from the Virginia Polytechnic Institute and State University, and a master of business administration from Northwestern University’s Kellogg School of Management.

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