Great article! I am looking forward to keeping up with these posts. What I have seen recently from clients is they expect to throw the new shiny tool at the problem and their data quality woes will go away. However, as you have aptly pointed out in this article that data quality, failed data initiatives, etc. are a symptom of _many_ problems. From my experience, organizational leaders, for whatever reason don't seem to grasp the importance of stepping back and evaluating the problem.
Thanks Matt! I completely agree with you, and have seen the same thing from clients.
My hypothesis is that given the speed data teams are expected to work at and deliver at, combined with the lack of knowledge that executives/ org leaders have of the data capability, you get a culture of fail fast and throw something else at it. Long-term investment into hard, complex things are not done in data, hence everything you mention
Great article! I am looking forward to keeping up with these posts. What I have seen recently from clients is they expect to throw the new shiny tool at the problem and their data quality woes will go away. However, as you have aptly pointed out in this article that data quality, failed data initiatives, etc. are a symptom of _many_ problems. From my experience, organizational leaders, for whatever reason don't seem to grasp the importance of stepping back and evaluating the problem.
Thanks Matt! I completely agree with you, and have seen the same thing from clients.
My hypothesis is that given the speed data teams are expected to work at and deliver at, combined with the lack of knowledge that executives/ org leaders have of the data capability, you get a culture of fail fast and throw something else at it. Long-term investment into hard, complex things are not done in data, hence everything you mention