How DTE Energy uses data analytics to manage the customer program lifecycle

Register to view video
 
By Haider Khan, Kevin Stewart , and Christopher Folden

The advent of ‘Big Data' analysis capabilities and parallel cloud computing has made it feasible to holistically plan, design, implement, and evaluate customer programs. Utilities can now take granular customer, temporal, and locational data into account for technologies such as energy efficiency, demand response, and other distributed energy resources when managing these programs.

That's why ICF created the DER Insights tool. It takes advantage of advanced metering infrastructure data, customer demographics, and firmographic information to efficiently optimize customer programs.

In this on demand webinar, hear directly from leaders at DTE Energy on how they’re using this tool’s advanced analytics to connect the phases of customer program lifecycle—including potential analysis, design, tracking the progress of implementation, and evaluating the impacts to improve customer targeting. Learn how this tool helps the entire company share information across technologies and objectives by reducing the administrative burden.

Watch now for an in-depth conversation on:

  • Apply advanced analytics and granular data to shorten the timeframe and seamlessly connect planning, design, and continuous optimization efforts across customer programs
  • Evaluate and manage grid flexibility from a customer programs perspective
  • Break organizational silos by using advanced metering data as a single source of information for customer program aspects across all DER technologies.
Go to ICF
Meet the authors
  1. Haider Khan, Senior Director, Energy Analytics

    With nearly 20 years of experience, Haider applies advanced energy analytics to solve complex problems for utility clients. View bio

  2. Kevin Stewart , Principal Marketing Specialist, DTE Energy
  3. Christopher Folden , Senior Engineer, Grid Modernization, DTE Energy