Make BIG decisions with your data - nine steps to data quality success in financial institutions
INSIDE THIS DOCUMENT
Anyone that has tried, appreciates that achieving good data across an organisation is not easy. The quality of data is imperative to an organisations strategic decision making, agility, productivity and survival likelihood.
For regulated organisations in financial services sectors such as superannuation, banks, insurance and wealth management, poor data can also result in breaches, potential fines, and reputation loss.
Data quality is never as good as we believe it to be
Data quality is one of the biggest critical challenges
Good data takes serious organisational commitment
Data life cycle stages
Essential characteristics of good quality data
How to ensure good quality data
Data quality checklist
Nine steps to data quality success
Hope you find it useful!
Kin Fok - Lead Consultant