Date/Time Date(s) - 14/05/20242:00 pm - 3:30 pm
Ninety percent, or more, of organizational data challenges, are people and process – not technology challenges! Strengthening our focus on non-technology aspects of Data Governance will be seen as crucial. A conscious effort to spend at least as much time on ethics as technology is a good place to start. Like ubiquitous “safety minutes,” periodic ethics discussions will help prevent surprises, introduce vocabulary, and most importantly, keep the first discussion of organizational ethics from occurring in the middle of a data crisis.
This program will present information that you can take away and use to start ethical discussions as part of your data program. Much of the information is transferred via a series of workshop discussions describing “incidents.” Understanding how they were discovered, their handling, and lessons learned–leading to specific operational changes/improvements. The material focuses on people and process issues encountered with each incident. We believe these illustrate aspects of Data Governance that are rarely documented, much less presented. Additional takeaways focus on:
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.