| This post was kindly contributed by Key Happenings at support.sas.com - go there to comment and to read the full post. |
For a brief moment in time, I worked in the Data Warehousing R&D Division at SAS. I was there at the same time that DataFlux joined the SAS family and data cleansing found its way into the product line. I don’t know why I find it so fascinating, but I do. Maybe it is because I work with data that is provided by people who are in a hurry. Maybe it is the requirement that you understand the data, the situation in which it was obtained, and the rules and tools for working with it. Or, maybe it is just one of those unexplained nerd things. Whatever it is, I’m waiting to see what David Loshin has to say in his next blog post.
In his current post Controlled Data Cleansing, he lists pragmatic questions that you must ask yourself once you have decided that data correction and cleansing is a good thing. These are great questions. If you are involved in a data project, give this post a read and make sure that you can answer some of these questions for your project.
If data quality or data cleansing is in your job description or just a nerdy interest, I recommend the DataFlux blog posts tagged with data cleansing or data quality.
| This post was kindly contributed by Key Happenings at support.sas.com - go there to comment and to read the full post. |