A number of trends, including explosive portfolio growth driven by recent incentives as well as industry-wide labor shortages, are increasing the burden on already-overworked O&M teams, which will have to manage more projects with the same workforce. This means that the ability to allocate and prioritize scarce resources, surface and diagnose issues remotely, and minimize false positives and false negatives are becoming more and more important. This session delves into the aspects of the O&M dilemma that are not often addressed, by examining lessons learned from real projects and walking through data-driven approaches to managing large, heterogeneous portfolios. Participants will gain an understanding of how the right data and tools can be used strategically to optimize performance while minimizing cost and effort on a per-project basis.
