The following narrative will focus on defining the people, tools and processes that comprise a critical part of the data management program and support the organization’s data management capability. Read More DATA MANAGEMENT CAPABILITY (SERIES 2)
The following three part blog provides a comprehensive description of the concepts concerning “Data Management” specifically and a “Capability” in general within the context of a framework comprised of ten (10) data management functions. The Data Management functions defined within this blog come from the writings of The Data Management Association (DAMA – www.dama.com) and its Data Management Body of Knowledge (DMBOK v.1). The Data Management Body of Knowledge is a respected publication which attempts to formulate the concept of managing a corporate’s data as an asset. The DAMA DMBOK v.1 is the basis for the terminology used to define the ten (10) data management functions.
The framework developed in writing this blog is a concept introduced by Estrada Consulting, Inc. and the author of this blog. The framework which defines the ten (10) data management functions is used throughout this blog and is intended to allow the reader to overlay each framework diagram representing the people, tools and processes necessary to enable the data management functions.
Part 1 of this three part blog will define the Data Management framework in general with the ten (10) Data Management functions and then incorporate other elements necessary to enable Data Management as a “Capability”. The framework presented in Part 1 will be leveraged in Part 2 to depict the exclusive roles (people), tools and processes involved in Data Management functions. Finally, Part 3 will describe in general what a minimal and optimal data management program may look like for your organization.
First it was the enterprise data model, then data warehouse, enterprise architecture, and finally master data management that became the consultancy solution mega implementations. Each has run its initial course with, at times, very limited results. Some organizations have abandoned methods that demand high levels of investment with the promise of future payback. Today, the pace of change requires incremental, quick-paced action to implement something of value.
Read More Estrada’s Micro-Methods for Data and Business Intelligence