Data Visualization Dashboard

Energy Utility Revenue Protection

My Roles

UX Researcher, IDX Architect

Tools Used

Figma, Miro, Power BI

year

2021-2022

The Problem

A large Energy & Utility company needed to improve their current process of identifying when a customer is stealing power so that investigators could increase safety and revenue protected.

The Solution

A data visualization dashboard built in Power BI that uses machine learning to identify which properties are the most likely to be stealing power, allowing investigators to work more efficiently.

A long green arrow that slides in from the left

User Research

Value Stream Maps | Data Analysis | Contextual Inquiry

Value Stream Maps

The entire current state process was mapped to understand how the Revenue Protection team accomplishes their work and how the process can be improved.

Work Steps & Activities

  • The overall steps & activities were mapped in order.

People & Tools

  • The people & tools for each step were captured

Time Metrics

  • The lead, idle, & cycle time of each step was calculated.

Pain Points Identified

  • Spots in the value stream that needed improvement were identified..

The maps were iterated on several times to ensure accuracy and a final current state was created. The potential improvements were mapped and a future state was created including the total lead, idle, & cycle time improvements.

Future State