Data Strategy outlines how data contributes to the vision, focus areas, guiding principles, essential capabilities, and goals of your organization. A strong Data Strategy positions your organization to capitalize on its strategic assets without jeopardizing its important relationships with customers, employees, and partners.
In this article, I’ve paired slides about the fundamental building blocks of Data Strategy with questions using a spaced repetition tool called Orbit. After answering the questions, you can sign up with Orbit, and the tool will test your recall at spaced intervals. This technique is scientifically proven to help with the retention of new material.
This is particularly useful if you’re interested in continuing to deepen your authority in this area by becoming recognized as a Certified Data Management Professional (CDMP). The knowledge gained from reading the DMBOK can help you set up a robust Data Strategy for your team.
Enjoy!
Introduction
Let’s practice what you just learned about Data Strategy with some questions:
Data Governance
Data Quality
Data Architecture & Modeling
Let’s practice what you just learned about Data Architecture with some questions:
Let’s practice what you just learned about Data Modeling with some questions:
Master & Reference Data Management
Data Warehousing & Business Intelligence
About the Certified Data Management Professional (CDMP) Exam
Summary
Here are the six chapters of the DMBOK we covered today.
You’re well on your way to acing the CDMP exam!