Great insights in regards to change management. It is difficult to get people to understand that Tableau is not set to replace other tools as much as it is to compliment. The immediate expectation, when discussing creating items in Tableau, is to make it a static dashboard or report and just recreate old reports so that they are now accessible in Tableau. The discussion needs to be made about what makes sense to develop in Tableau and what may be best developed in a report writer or kept as is. Getting people to realize that Tableau is not a report writer is essential when implementing and seeking user adoption, otherwise users won’t see the value in the analytical functions.
Like how the interview addresses the fact that you can, and probably should, have both ETL/Warehousing and other Data Integration tools. Use the solution that is best suited for the specific data and the business need.
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.
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.
Hagerty Insurance, headquartered in Traverse City, MI, has an opening for a BI Data Analyst/Data Mining Specialist. To find out more about this position and check out more about Hagerty’s great career opportunites visit here!
Follow @Hagerty on Twitter to experience what we are all about! Trust me, it is an AWESOME place to work.