There are always two aspects to data quality improvement. Data cleansing is the one-off process of tackling the errors within the database, ensuring retrospective anomalies are automatically located and removed. Another term, data maintenance, describes ongoing correction and verification – the process of continual improvement and regular checks.
To tackle any problem in a systematic and effective way, you must be able to break it down into parts. After all, understanding the problem is the first step to finding the solution. From there, you can develop a strategic battle plan. With data quality, the same applies: every initiative features many stages and many different angles of attack.
When starting a…Continue
Added by Martin Doyle on August 5, 2015 at 5:06am — No Comments