Earlier this month we had this year’s magic quadrant for data quality tools from Gartner (the analyst firm). The magic quadrant always stirs up posts about data quality tools and this is true again this year. For example yours truly had a post here and Lorraine Lawson had a say on the ITBusinessEdge in the post Eight Questions to Ask Before Investing in Data Quality Tools.
Some of these questions asked by Lorraine relates to a grounding principle in the magic quadrant that is, that the data quality tool should be able to do everything data quality and even, as stated in Lorraine’s question 2: Can it be embedded into business process workflows or other technology-enabled programs or initiatives, such as MDM and analytics?
That question is close to me as I’m right now working with a tool for maintaining party master data with two main advantages:
- Making the business process as smooth as possible
- Ensuring data quality at pre data entry and all through the data lifetime
So, it’s not a true data quality tool. It doesn’t do everything data quality. It’s not a true MDM platform. It doesn’t do everything master data. But I would say that it does do what it does better than the full monty behemoths.