Data Quality is a diff icult concept to explain to those who do not understand the importance or r ealize the intricacies of data. This, however, should not hold you back fro m implementing the necessary steps in order to monitor and measure the qual ity of your data. This presentation will show you an example of how it is p ossible to practice good data habits by taking a pragmatic, subdued, and un conventional approach to data quality, no matter the size of your organizat ion. You will see the following fundamental steps in action:
\n
\nIf you are just thinking a
bout it, ramping up an initiative, or in the middle of a struggling program
, you may discover a tip or two that can help accelerate your efforts towar
ds better enterprise data.