Analytical Master Data Management 2.0

摘要

Analytical Master Data Management (aka aMDM) has been an on-again, off-again topic in the information management space. Some describe it as just a use case within MDM, others limit it to dimension management for BI purposes. For some aMDM appears to be a solution looking for a problem. This paper will discuss some concepts of how a next generation version (2.0) of aMDM should evolve and be implemented from its current status quo "Dimension/Hierarchy Management" (1.0) serving data warehouses. aMDM 2.0 creates, manages and serves not only hierarchical meta data but also real-time analytical facts to BI and OLTP applications leveraging existing opMDM functions to ultimately support business transactions. The following analysis is grounded in functional scenarios by industry supporting the evolving usage patterns; opMDM, aMDM 1.0, aMDM 2.0. Targeted readers are: IT managers, CIOs, enterprise architects, business analysts and line-of-business (LoB) leaders. It is the author's goal to prove how the value of linking transactional and analytical environments. The research uses a Delphi-style analysis via solution design and data governance workshops in a number of industry settings. All interviewees hold thought leadership positions in their respective market-leading organizations and fill similar positions as the aforementioned target audience of this paper.