What do these have in common: The Federal Reserve Bank, Text Analytics, Facebook, Statistical Computations, Big Data and Keyword/Phrase/Boolean searching?
Interestingly these are more related than you think.
MDM has received quite a bit of attention in the recent past and we have seen many companies across the LS spectrum adopt and embrace this. The Physicians Payment Sunshite Act has also been a key driver for enterprises to create a master data repository for their HCPs (Health Care Professionals), to ensure that the right spend amounts were being reported against these HCPs. One of the easiest / simplest story lines to get funding for an MDM initiative that I've seen has been the classic "This is that way to ensure that the physician J Smith and Joe Smith as well as Joseph Smith are all either the same person or not".
The growing enterprise adoption of Salesforce SFA/CRM, Workday HR, Netsuite ERP, Oracle on Demand, Force.com for apps and Amazon Web Servicesfor e-commerce will result in more fragmented enterprise data scattered across the cloud.
A survey of 353 executives in large companies, reported that their chief BI concern was the performance of various BI solutions. Support and enhancement teams are typically deployed to address BI performance challenges with varied success. A BI Center of Excellence (BI CoE) measured by performance KPIs and service metrics is a solution to this problem. This is not an area that traditionally draws high-level attention or is featured in a dedicated CoE initiative, yet in the right circumstances it offers unique value.