Market Driven Data Quality (Data Darwinism)
A contrarian idea to improve data quality; let "market forces" like peer pressure, earn-in, and competitive prioritization encourage data owners to do their own quality monitoring.
A contrarian idea to improve data quality; let "market forces" like peer pressure, earn-in, and competitive prioritization encourage data owners to do their own quality monitoring.
As previously noted, I've been doing a lot of discussion and data crunching around "Master Data Management" lately - so I've "bootstrapped" a little market research project. It's still a work in process - responses are trickling in - but I thought I might take some time to summarize what I am hearing to date. A document is available for download here ... the super summary follows below. Survey Methodology Please note: I am obviously not a professional market research…
I've been asked a lot of questions about "Master Data Management" over the past few weeks - what does it mean, who does it, and what are some tools and metrics that organizations are using to reign in this important aspect of ERP and analytics systems. I started reaching out to the folks in my professional network with some results, but I thought I might be able to leverage LinkedIn and Twitter to get input from far and wide. This…
I've had to respond to this question, inside and outside of the company, in a number of different conversations over the past few days. It's interesting, because this is one of those conversations where semantics mean a lot - what people say is just as important as what people don't say. I only mean that people assume their listeners have precisely the same understanding of the concepts - which is often a mistake. Case in point - who owns the…
I've heard from a couple of friends about some "classic" project requests - dilemmas they have recently faced. These unreasonable requests can be turned into something achievable and, potentially, more relevant / meaningful to the requestor, by approaching the problem from a different direction. Request for Data: the Analytics Project Classic scenario #1 arrives courtesy of the external Experts, analytic genii (sic) promising to reveal secrets of profitability and sources of revenue buried deep within our data sets. Their "simple…