Data Quality Primer
Using Data Quality Tools And Techniques To Improve Business
Download this 48-page eBook written by David Loshin which explores the challenge of determining when data values are or are not valid and correct, how data values can be made correct, and how data cleansing services can be integrated into the environment.
It reviews:
- Core concepts necessary for cleansing data: parsing; standardization; business; data correction; and data enhancement.
- How approximate searching and matching can be used to link records together and facilitate the same cleansing and enhancement techniques discussed.
- Some of the drivers and requirements for improving the processes surrounding managing data quality.
