Data Strategies for Data Governance: Creating a Pragmatic, Agile and Communicable Foundation for your Data Management Practice
By Marilu Lopez, Technics Publishing, 2023
We all know that data will play an increasingly important role in all future operations. How you personally and your organization apply data to operations will be the difference between success and failure. Have worked in this area for many years, the time is ripe for the next step in the evolution of data strategy. Marilu has taken this step. As an enthusiastic adherent to the business canvas technique, I greatly admire the diligence with which she has applied this to the concept of formulating a data strategy. There is a wealth of material in this very dense book of extremely useful tips, techniques, and guidance. Probably the most difficult aspect of data strategy formulation centers on the challenge of meaningfully engaging various stakeholders in the necessary dialogs required to take your organizations data and applying it meaningfully in support of the organizational strategy. The method described provides all the guidance you will need.
Peter Aiken
President, DAMA International
This is a comprehensive book on data strategies. Marilu Lopez has come up with a way to connect the data strategy to executive management that until now has been a missing piece; how to set the data strategies in motion. She doesn’t just go into how to create a data strategy as if it were a cake to be baked. Instead, she makes the reader think about what kind of data strategies are needed and how they fit into your organization’s challenges, intentions, and aspirations. The content is very credible as Marilu Lopez consistently uses and relates to academic research, literature, and thought leaders’ experiences. Thus, her PAC framework is based on today’s accumulated knowledge and takes you further from there. If you are about to take on data strategy work, you should start by first checking out Marilu Lopez’s messages.
HÃ¥kan Edvinsson
CTO, Principal Consultant, Informed Decisions