As rural electric utilities navigate changing load patterns, more dynamic distribution systems, and continued pressure to control rates, data science can help turn existing information into practical decision support. This article series examines how electric cooperatives can incorporate insights from data science into their operations through a practical, grounded approach. The goal of the series is to support clearer judgment about where data science is most useful, what resources are needed to properly apply it, and how co-ops might approach the work realistically. It begins with a general introduction to what data science means in the context of electric cooperatives, then considers how to identify worthwhile opportunities, how to assess organizational readiness, and how to think about structuring analytics efforts in a way that aligns with operational realities.
