Data Strategies as Cornerstone if you want to use AI in Advanced Analytics
A Pragmatic, Agile, and Communicative approach to defining the What, Who, and When of Data Management to have good data for AI.
Presented by: MARILU LOPEZ - Owner and CEO of Training and Consulting in Data Management and Data Strategy
Marilu is the owner and data management consultant at SEGDA, specializing in data strategies and operating models. She co-founded and served as president of the DAMA Mexico Chapter, was the DAMA Regional Coordinator for Latin America, Presidents' Council Chairperson, and is currently DAMA Chapter Services VP. With a background of 30+ years in the financial sector, including 15 years in data management, Marilu holds a CDMP (Certified Data Management Professional) Master and CIMP certifications in Data Governance and Data Quality and is TOGAF-certified. She is the author of “Data Strategies for Data Governance” and an active speaker at international conferences like EDW, DGIQ, and DMZ.
Abstract:
Most organizations are under pressure to get value out of their data. They are jumping directly to implement MDM initiatives, to move to the cloud, or to implement advanced analytics, and now, to adopt AI, without a fundamental understanding of the problems that need to be solved and the priority to tackle them. There's, though, an increasing awareness of the need to manage data more effectively, but there's no clear understanding of the path to follow. Data Strategy is the key element to prioritize and guide resource allocation effectively. This session presents how to produce Data Strategies using the PAC (Pragmatic, Agile, and Communicable) Data Strategy Method.
Define your Data Strategies with the appropriate stakeholders in a very pragmatic and agile way and communicate them with the power of a Canvas.
Learning Objectives:
Hosted virtually via Microsoft Teams
Open to members and guests — all are welcome!
Location: Virtual Meeting | Link provided upon registration
Reserve your spot today!