2016 Current State of Data
Quality Survey Results
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
with questions. Better yet, if you publish,
please let me know so I can link to your work.
- There are significant data quality problems within many organizations,
yet many organizations do not have a viable strategy for addressing them.
- The earlier, and more often, that you
database in the development lifecycle, the greater the data quality.
- 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.
- A large percentage of organizations struggle to
their database schema in a timely manner, thereby reducing their
Evolutionary/agile approaches to
are just as effective as traditional approaches, and both approaches
correlated to improved data quality.
- Database service-level agreements (SLAs) are co-related to improved data
- 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
- 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
- Once I've published my column summarizing the data in DDJ, I really
don't have any reason not to share the information.
- I think that it's a good thing to do and I invite others to do the same.