Oct 8 Data-Ed Webinar: Strategy Is Where Data Architecture and Data Governance Collide

DATE: October 8, 2024

TIME: 2:00 PM – 3:30 PM Eastern / 11:00 AM – 12:30 PM Pacific

PRICE: Free to all attendees

About the Webinar

While “collide” is perhaps a strong term to use to describe the key area where Data Architecture and Data Governance interact, it does provide motivation to perhaps calm the traffic and avoid further collisions. In order to harmoniously interact, architecture and governance must literally be working from the same diagram (singing from the same sheet of music). The worst time to try to accomplish this is on a short-term decision. It is better still to educate each group to the function of the other and major issues upcoming. A shared data literacy exercise can provide a good starting point.

Learning objectives:

Gaining a good understanding of both important topics, their relationship to each other, and what is required for each to be successful
Not having the first conversation be the important one
Coordination is key requiring necessary interdependencies and sequencing
Integration challenges can be valued, assisting shared priority development

About the Speaker

Peter Aiken, PhD

Professor of Information Systems, VCU and Founder, Anything Awesome

Peter Aiken, Ph.D. is an acknowledged Data Management authority, an associate professor at Virginia Commonwealth University, president of DAMA International, and associate director of the MIT International Society of Chief Data Officers. For more than 40 years, Peter has learned from working with hundreds of Data Management practices in more than 30 countries. Among his 12 books are the first on making the case for data leadership (CDOs), the first focusing on data monetization and modern strategic data thinking, and the first to objectively specify what it means to be data-literate. International recognition has resulted from these and a (pre-Covid-19) intensive worldwide events schedule. Peter also hosts the longest-running Data Management webinar series on dataversity.net. Before Google, before data was big, and before Data Science, Peter founded several organizations that have helped more than 200 businesses leverage data – specific savings have been measured at more than $1.5 billion. His latest venture is Anything Awesome.

Data Topics