What are the business intelligence (BI) challenges that occur when departments in large enterprises implement their own BI tools?
A quick observation is that no matter what standards and guidelines you establish for the deployment of BI software, there will always be individuals who aren’t satisfied with what they can accomplish using the favored tools and attempt to develop their own methods, even if that means dumping data into a desktop spreadsheet and running their own macros. That being said, the risks of departmental implementations lay not so much in the possible introduction of non-standard tools but in the potential for variances in data interpretation and the absence of proper data governance procedures. Once data is extracted from its source, it takes on a life of its own, and the perception and understanding of each individual analysis technique may begin to expose differences across the board, leading to increased needs for data reconciliation while diminishing user confidence in the results that they get from the BI tools.
Dig Deeper on Business intelligence project management
Related Q&A from David Loshin
Fact tables and dimension tables are used together in star schemas to support data analytics applications. But they play different roles and hold ... Continue Reading
Learn about emerging data governance trends for 2011, including more use of data governance tools and data quality metrics and scorecards. Find out ... Continue Reading
Learn how often companies should update their data quality strategy. See how changes in data quality problems create new challenges and how revising ... Continue Reading