Wow, I found the statement below, from Magic Quadrant for Business Intelligence and Analytics Platforms, very interesting. I have found that having the best of both worlds; ease of use/availability for business users and the ability to maintain enterprise wide governance has been an issue. It will be interesting to see what products emerge that can provide for both.
The most notable change in this year’s Magic Quadrant is that all the vendors in the
Leaders quadrant have been moved to the left in terms of Completeness of Vision. This
reflects the fact that no one vendor is fully addressing the critical space in the
market for “governed data discovery” — in other words, platforms that address both
business users’ requirements for ease of use and enterprises’ IT-driven requirements.
This is great because it addresses the important reasons for having data governance. Because Tableau can essentially be used by the masses, it makes it much more likely that data can be grabbed and interepretted and defined by the user, not the enterprise. Even though a tool makes it easier for end-users to use the data, doesn’t mean the data should no longer be properly governed. It is important to remember Tableau is a tool used to visualize and analyze the data as it has been defined, not to recreate data depending on each user’s interpretation.
Originally posted on The Slalom Blog:
Chaos is the natural state
On a recent trip I visited the Hoover Dam, and it occurred to me that the Colorado River and its system of dams are analogous to the large amounts of data organizations and the data governance programs put in place to maintain and control that mass of data. Without the dam, generating electricity from the river would be inconsistent and unreliable. Similarly, a data governance program and content management bring order and security to large amounts of data.
Interesting article that helps explain the increasing issue with mass reliance on using Data Visualization tools to blend data and define business rules. These tools are great, but not a replacement for proper data management. Data Viz tools empower the end user, one user at a time. Data management should not be defined at the desktop, by individuals, and within mutliple tools. The possiblility for data inconsistencies are increased and there is no longer a clear-cut definition of what the data is that is being reported, it now becomes dependent on the definition created by an individual at that specific moment in time for that specific tool.