Data Management - A Balancing Act

Data Management is a balancing act with 11 different functions that have currently been defined in the DMBoK. It is very challenging to select which function to begin with, and often organizations start with the most "popular" - Data Governance or Data Quality or MDM. In doing so, they forget that the other functions are all inter-connected and that a full DM program should contain elements of each.

This presentation will endeavor to cover some of the challenges of balancing these functions and getting a DM program to work:

Defining the DMBoK wheel for business
How to select where to start
Quantifying the risks
Getting support
Making it happen
Working on that Maturity Matrix

Sue Geuens? started in Data Management in 1996 when she was handed a disk with a list of builders on it and told they were hers to manage. Sue mentions this as fate taking over and providing her with what she was "meant to do." Various data roles later, her clients numbered 3 of the top 4 banking institutions in SA, a number of telco's and various pension funds, insurance companies, and health organisations. Sue was the initial designer of data quality matching algorithms for a SA built Data Quality and Matching tool (Plasma Mind). This experience stood her in good stead, as she slowly but surely climbed the ladder in Southern Africa to become the first CDMP in the country. Sue worked tirelessly on starting up DAMA SA with the successful Inaugural meeting in February of 2009. She was unanimously voted as President just prior to this event and became Past President at end of 2015. Sue is the current DAMA I President