602: Data-driven Business Transformations to Enable Enterprise-level Insights
Date & Time
Wednesday, May 5, 2021, 2:00 PM - 2:45 PM
Jonathan Glassman, Ph.D., P.E., CRE Lamis El Didi

Data projects are inherently interdisciplinary operations, and insights gained from wrangling these different aspects into a cohesive, actionable strategy offer a template for other organizations seeking to excel at business intelligence. Data-driven business transformations can be daunting efforts riddled with multiple interdependencies and hidden technical debt. This presentation will use an ongoing, collaborative effort involving PG&E and Exponent to develop a data-driven, risk-based framework for asset management and operability assessment as a lens for understanding how effective business transformations can occur at the business unit and enterprise levels.

Session Takeaways:


  • Define business transformation and what a data-driven approach means.
  • Describe what is hidden technical debt and how it can be mitigated through the interplay of people, process, data, and technology demands.
  • Assess the need for a business transformation through the lessons learned from an existing data-driven, risk-based project that has been deployed for asset management and operability assessment decision making.
  • Identify how to employ a balance of institutional knowledge, data management, and insight to develop business intelligence tools for effective decision making.
Submission Type
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