As applications discover the need to work with MDM for their projects to be successful, and the data and the parties are identified, the MDM team needs to be able to engage the requirement.  This is what I call setting up shop. 

You will need to balance structure and agility.

Early in the project's planning/research phase, a general conversation about the project and its data needs should be conducted with MDM Leadership.  As enough information is made available to complete the project plan tasks, the MDM team could provide the project team with the appropriate tasks for inclusion into their project plan.  A description of a superset of those tasks follows.   

All projects engaging MDM data need to share these documents with the MDM team or put MDM Leadership on outright sign-off for the following documents during the Requirements phase:

• Business Requirements  


• Non-functional Requirements  

The Business Requirements should contain diagrams and commentary on the interface(s) that the project will have to MDM.  Depending on your working model, either the MDM team or the application team provides the technical aspects of the application integration with MDM.  Figure out which in the manifesto or be prepared for MDM to be labeled "hard to work with."

I have completed this paper, where I make the case for one of the largest trends in BI, mobility.

"No matter what business you are in, you are in the business of information. And it's business intelligence that has long been the discipline to deliver the needed information. Demand for business intelligence as a means to get maximum value from information has never been higher as businesses increasingly compete in real time and require information that is integrated from across the enterprise. The old saw about business intelligence is that it gets "the right information to the right people at the right time." It's really time to add "right medium" to that mix.

Automating business decisions and action is one path to business intelligence maturity. Determining what actions to trigger automatically based on changes in corporate data can come from a solid understanding of how decisions are made today. However, many decisions are multifaceted, and a knowledge worker's analysis will continue to be a part of effective business intelligence.

Effective analysis is getting more complicated for knowledge workers. The more complicated aspects include sensing what is happening and combining that with summarized historical data to build a set of possible actions. These "analytics" are the basis of competitive advantage for organizations today. Once calculated, they must be put to effective use, again utilizing the best medium available for real-time delivery."

Please see here for the full paper.  The contents include:

Business Intelligence Deployment Option History

Business Mobility

Mobile Business Intelligence Deployed

GUESS? Store Managers Don't Have to Second Guess Data

PriceLYNX: Going Mobile to Curb Supply Spend

What These Stories Tell Us Tips

Approaches to Mobile Business Intelligence

MicroStrategy Mobile