2016 Current State of Data Quality Survey Results

Scott W. Ambler + Associates
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How to Measure Anything 2nd Edition

This survey was performed during the moth of June 2016 and there was XXX respondents. The survey was advertised on Twitter (@scottwambler), on the LinkedIn Disciplined Agile Discussion Forum, and on the Ambysoft IT Surveys page.


The Survey Results

TBD


Downloads

Survey

The Survey

Survey Data File

Raw Data

Survey Presentation

Summary Presentation


What You May Do With This Information

You may use this data as you see fit, but may not sell it in whole or in part. You may publish summaries of the findings, but if you do so you must reference the survey accordingly (include the name and the URL to this page). Feel free to contact me with questions. Better yet, if you publish, please let me know so I can link to your work.


Discussion of the Results

  1. There are significant data quality problems within many organizations, yet many organizations do not have a viable strategy for addressing them.
  2. The earlier, and more often, that you test your database in the development lifecycle, the greater the data quality.
  3. A collaborative approach to data standards/guidelines is more effective than a command-and-control approach, which in turn, is better than no approach at all.
  4. A large percentage of organizations struggle to evolve their database schema in a timely manner, thereby reducing their competitiveness.
  5. Evolutionary/agile approaches to data modeling are just as effective as traditional approaches, and both approaches correlated to improved data quality.
  6. Database service-level agreements (SLAs) are co-related to improved data quality.
  7. This survey suffers from the fundamental challenges faced by all surveys.

Why Share This Much Information?

I'm sharing the results, and in particular the source data, of my surveys for several reasons:

  1. Other people can do a much better job of analysis than I can. If they publish online, I am more than happy to include links to their articles/papers.
  2. Once I've published my column summarizing the data in DDJ, I really don't have any reason not to share the information.
  3. I think that it's a good thing to do and I invite others to do the same.