Rajesh Jugulum, Ph.D., is the Director of global data strategies at Cigna.
Prior to joining Cigna, he held executive positions in these areas at Citi Group and Bank of America.
Before joining the financial industry, Rajesh was with MIT where he was involved in research and teaching. Currently, he also teaches at Northeastern University, Boston and holds affiliate graduate faculty appointment with University of Arkansas at Little Rock.
Rajesh is the author/co-author of several papers and four books including a book on data quality. His honors include 2002 American Society for Quality’s Feigenbaum medal and 2006 International Technology Institute’s Rockwell medal.
DQPVS 1: Competing with High Quality Data - Building and Executing a Successful Data Quality Approach
Because of the adverse impacts that poor quality data can have, organizations have begun to increase the focus on data quality in business in general and they are viewing data as critical assets like others such as people, capital, raw materials and facilities.
Since the data quality field is experiencing explosive growth, many companies have started to realize the importance of having a dedicated data quality (DQ) program to ensure that the data is fit for the intended purpose.
This presentation aims at outlining a holistic DQ approach that businesses can adopt to energize their DQ innovation processes, perfect their data gathering and usage practices and ensure robust and reliable data is available to make judicious decisions.
The proposed DQ approach that is based on DAIC (Define, Assess, Improve and Control) project life cycle, is a structured, systematic, and disciplined approach to ensure that we are getting satisfactory levels of data by minimizing cost of low quality data. This in turn, strikes a balance between rigor and creativity resulting in reduced DQ assessment and issue resolution times.
The presentation also includes some case studies from large organizations.
DQPVS 2: Next Generation Data Strategy
In this presentation, data quality and Lean Six Sigma author, Rajesh Jugulum, provides practical ideas for aligning your data strategy with a corporate strategy in order to create higher levels of data quality.
Some of the topics include:
- Creating an Enterprise Data Management Framework
- How to align corporate requirements with data requirements
- How to integrate the data quality decomposition framework into the data strategy
- How to discover the functional requirements of a data strategy
- The foundational capabilities of data quality
- How to prioritize your Critical Data Elements (CDE's)