Bidgely created Analytics Workbench to enable utilities to use their data in a fully self-serve and holistic manner. Not just for a single specific use case, but in a flexible manner across multiple groups. AWB can be a single source of truth for a utility across DSM, marketing, M&V, planning, and load research.
Learn how Bidgely’s technology extends and enriches your data set using AMI or non-smart meter data, and disaggregates it to derive appliance-level details for each customer’s energy usage.
Avoid blanket marketing or marketing to the wrong audience for energy efficiency, demand response or revenue expansion programs. Quickly run analyses across your customer base with the deepest insights on customer behavior and appliance usage in order to make key decisions around your program plans, offerings, and engagement strategy.
Improve accuracy by using your full customer data as a data set rather than small samplings of metered homes or surveys to inform your load curves. Automate and enrich your load research with a full view of end use analysis, customer and rate types, and load curves.
Leverage AMI data to get a 360 view of EV ownership, charging level and time of charging across customers on your grid. Bidgely is proven to be more accurate and precise than DMV data or customer surveys that are prone to biases.
Incorporate the presence of renewable and EV assets on your grid. Quickly understand impacts, trends and potential of appliance adoption, energy efficiency, load shifting, DERs and electrification. Feed the most accurate customer demand data into your ADMS to prepare for the renewables future.
Make data driven decisions around rate design and speed up your regulatory filings. Usage data exposes how well customers are leveraging existing rates and what opportunities there are to maximize comfort and costs.
Use data to drive more successful and agile programs. Don’t wait until a program is over to measure and verify success.
The Bidgely analytics data enriches the utility’s customer-facing and grid-facing data sets with extremely granular energy-specific attributes. This can be delivered to your business analysts in three ways:
Export into your data lake or marketing automation system to allow your data analysts to acquire super data power in their analysis.
A BI tool for your business managers to slice and dice the data and run on-demand target lists of segmented customers into your desired marketing engines.
Establish automated calls for relevant energy insights within your grid management, business intelligence, and marketing automation to centralize decision making.