Expert Panel: Establishing a Unified Data Architecture
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Thursday, September 28, 2023
Time: 12:00 p.m. PT / 3:00 p.m. ET
As organizations collect increasing amounts of diverse data, they have often stored and processed this data on disparate platforms. The result is often a hybrid environment that is difficult to manage. The vast majority of respondents to TDWI surveys want to implement some sort of unified data architecture to be able to have one view of their data to use for analytics and other use cases.
There are a number of approaches to unification, both physical and logical. Join this TDWI Expert Panel to learn more about these approaches and what might work best for your organization.
Key topics include:
- What does a unified data architecture strategy look like?
- Stack, fabric, or mesh: which is best?
- Best practices for getting started with a unified data architecture
- How does the unified architecture support new analytics such as generative AI?
Business Technology Platform, Center of Excellence
As part of the SAP Business Technology Platform Center of Excellence, Colin represents a breadth of solutions within the SAP portfolio. He is an evangelist for the SAP digital transformation strategy and vision as well as a passionate advocate for the value and best practices of corporate customer data strategy and analytics capability maturity. He has held a variety of technical and strategic consulting roles at a number of market-leading enterprise software vendors, gaining extensive experience over a 24-year period, working with many of the world’s leading corporations.
David Loshin is an affiliate analyst with TDWI, the author of numerous TDWI research reports, and a frequent featured speaker at TDWI webinars and events. David is president of Knowledge Integrity, Inc. (www.knowledge-integrity.com), and is a recognized thought leader and expert consultant in the areas of analytics, big data, data governance, data quality, master data management, and business intelligence. Along with consulting on numerous data management projects over the past 20 years, David is also a prolific author regarding business intelligence best practices; he has written numerous books and papers on data management. David is a frequent invited speaker at conferences, online seminars, and sponsored websites and channels. David is also the program director of the Master of Information Management program at University of Maryland’s College of Information Studies.
Fern Halper, Ph.D.