Data Program Management (DPM) is the intelligent application of data management tools, technologies, and processes to improve the usefulness of an organization’s data. DPM helps the organization to:
Are you seeing an increasing volume of unstructured or external data that's relevant to your business but difficult to analyze? Are data users demanding faster reporting or more features in their analytical and visualization tools? Are people miscommunicating due to variety in how key data elements are defined? Are your current systems slow to update while the results they deliver to management seem increasingly out of date?
If you answer “yes” to any of these questions you may need to step back and re-think your organization’s approach to data management by focusing on data strategy, data architecture, and data governance.
Data Strategy addresses how data programs are planned and executed. Topics include:
Data Architecture addresses how the organization’s current and future data and metadata are defined and organized. Topics include:
Data Governance addresses how data, metadata, and their associated processes are managed. Topics include:
DPM starts with a “deep dive” into the data – what you have, how it’s organized, how it’s currently managed and used, and how these all relate to what your organization needs to accomplish.
You may find that different parts of the organization manage and define data about the same thing quite differently. This variety may have significant -- and potentially negative -- cost and quality implications for your work and the populations you serve.
By focusing attention on your data, a Data Program Management approach can help you define both short term and strategic initiatives that will not only make your organization’s data more useful operationally and analytically but will also improve the overall efficiency of how you manage your data.
If the above interests you, let’s talk!
Copyright (c) 2017 by Dennis D. McDonald. For more about Data Program Management go here. Contact Dennis by email at email@example.com or by phone at 703-402-7382. Check out his curated Managing Data collection on Google+.