Quality of Data Behind the Data Quality Magic Quadrant

Last week the Gartner Magic Quadrant for Data Quality Tools was published. You may have a free look thru some of the vendor’s sites. For example SAP has a link here.

I’m not going into who are leaders, visionaries, challengers or niche players. I’m a bit puzzled about who is in there at all.

We may look at two UK based vendors:

  • Datactics has a good position among the niche players
  • Experian QAS is not in the quadrant, but is mentioned among the vendors not meeting the inclusion criteria

If you look up Datactics on LinkedIn there are 14 employees there. If you look up Experian QAS UK on LinkedIn there are 369 employees there (and QAS has subsidiaries around the world too). This balance of strength resembles what I know from business directories.

Now, the inclusion criteria set up by Gartner may make a lot of sense, but I find it strange that it so obviously fails to reflect market reality.

Please find more information about how another analyst includes players (compared to Gartner) in the post The Data Quality Tool Vendor Difference.

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2 thoughts on “Quality of Data Behind the Data Quality Magic Quadrant

  1. Ted Friedman 19th August 2012 / 02:43

    But Henrik — the more important market reality is which vendor provides functionality that actually meets market demand. Would you suggest that QAS, which does not have any significant data profiling functionality, or monitoring capabilities, just as examples, truly meets the breadth of functionality required in this market? We would say not, and I’m pretty sure most buyers in the market would agree. In other words, QAS does not offer a comprehensive data quality tool suite — which is one key criteria for vendors to be positioned in the MQ. We would suggest this is far more important a “reality” to customers than is the number of employees. As a side note, while we don’t use number of employees as an explicit evaluation criteria, we do assess the vendors’ market share and revenue as part of the ability to execute criteria — and of course there is generally a correlation between market share / revenues and number of employees. By the way, the latest data we have indicates about 25 employees for Datactics and 297 for QAS in the UK. We track these metrics quite closely as well. Thanks for highlighting and commenting on the MQ.

    • Henrik Liliendahl Sørensen 19th August 2012 / 07:49

      Thanks a lot for commenting Ted. Good to hear the standpoint from the horse’s mouth.

      My guess is that data quality tools in the future will tend to be more about real world alignment of data, an area where QAS for example is very strong.

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