Data Strategy outlines how data contributes to the vision, focus areas, guiding principles, essential capabilities, and goals of your organization. Studying the DMBOK and attaining recognition as a Certified Data Management Professional (CDMP) can help you set up a robust Data Strategy for your team.
The Data Strategy Reference
| ________________ | The Data Management Body of Knowledge (DMBOK) covers 14 topic areas of foundational Data Strategy content, plus 3 additional chapters on how to implement needed organizational changes. I find myself reaching for this reference frequently throughout my work as a consultant. |
Modelstorming = Modeling + Brainstorming
| ________________ | Agile Data Warehouse Design introduces the Modelstorming technique to develop data models through collaborative brainstorming, iterative sprints, and stakeholder feedback sessions. Access the Modelstorming template by signing up for emails through the authors’ website. |
Data Strategy in the Business Setting
| ________________ | Far from being a book just for entrepreneurs, The Lean Startup highlights the importance of robust Data Strategy in organizations of any size or maturity. Data supports the experimentation required for an organization to fully capitalize on its comparative advantage. |
Motivation to Diversify your Skillset
| ________________ | “Successwise, you’re better off being good at two complementary skills than being excellent at one.” In How to Fail at Almost Everything and Still Win Big, Scott Adams provides rationale for adding new capabilities to your skillset. |
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My aim is to help Data Scientists, Analysts, Engineers, and Software Developers gain the CDMP credential to advance their goals – whether that’s attaining a leadership position, proving an understanding of Data Management to clients, or getting a new job in this dynamic and essential field. Thanks in advance for your support!