• The need to execute not just on internal data but with external partners means that more and more data needs to be connected and collaborated on in a highly federative way.
  • Master data management and the cross-reference it supplies between systems is crucial in ensuring that connections between data can be both navigated and managed.
  • It does not require an undisputed “golden record,” just the minimum to enable people and systems to connect the dots: quality can wait, but collaboration cannot. It must come first.
  • Next to MDM, meta-data management, business process management, increasingly powerful DIY exploration, data virtualization and “data tribe” tools all help to thrive on federation.


  • A leader in healthcare and life science wanted to open up distributed data for self-service analytics; it created a data catalog that automatically inventoried every field of data from several data lakes so that business analysts could maximize their time to value.
  • With product information residing in multiple systems with different standards definitions across various regions, a global beauty products company spent way too much time finding and aligning data. Through the implementation of federated MDM, it reestablished its grip on mastering complexity while freeing up time to actually work on insights-driven product management and marketing.


  • Business advantage is built on insights from data: wherever it is kept, by whomever, in whatever way
  • Getting the right information means knowing what can be obtained: what customer information lives in which lakes and what product information is related to it
  • Enabling internal and external data lakes to collaborate to provide better business outcomes
  • Creating quick results without lengthy, often unrealistic unification and standardization efforts