Module
Data landscape, quality and metrics
Covers mapping energy data sources, assessing quality, benchmarking maturity, and measuring data value.
5 lessons • 750 XP available
Lessons
1
Mapping the energy data landscape: sources, owners, and formats
+150 XPMap energy data sources, owners, and formats across the organization.
2
Data quality dimensions for energy datasets: accuracy, completeness, timeliness
+150 XPAssess accuracy, completeness, and timeliness of energy datasets.
3
Benchmarking analytics maturity: from spreadsheets to predictive pipelines
+150 XPBenchmark analytics maturity from spreadsheets to predictive pipelines.
4
Master data and reference data in utilities: assets, meters, and customers
+150 XPManage master and reference data for assets, meters, and customers.
5
Measuring data value and ROI: KPIs for data investment decisions
+150 XPDefine KPIs to measure data value and investment ROI.