Solution

Analytics for Energy and Utilities

Turn SCADA data, AMI readings, and outage records into actionable intelligence for grid reliability and operational efficiency.

Utilities generate vast amounts of data from SCADA systems, smart meters, outage management systems, and work management platforms. Adapter builds analytics solutions that transform this data into insights for grid planning, asset management, customer programs, and regulatory reporting.

Key Challenges

  • Massive Data Volumes from AMI and SCADA
  • Data Quality Issues Across Legacy Systems
  • Regulatory Reporting Complexity

Overview

Analytics for Energy and Utilities

Energy utilities operate some of the most data-rich environments in any industry. SCADA systems sample grid conditions thousands of times per second. Advanced Metering Infrastructure (AMI) produces interval usage data for millions of customer endpoints. Outage Management Systems log every fault, switching operation, and restoration activity. Geographic Information Systems catalog every asset from generating stations to service drops. Yet despite this wealth of data, many utilities still struggle to answer basic operational questions like which feeders are most prone to reliability problems, which transformers are nearing end-of-life, and which customer segments offer the best demand response potential.

Adapter builds analytics platforms that unlock the value in utility data. For grid operations, we create real-time monitoring dashboards that display system conditions with drill-down from transmission to distribution to individual feeder levels. We build outage analytics that identify root cause patterns across incidents, weather events, and equipment types, helping reliability engineers focus capital investment on the highest-impact improvements. For asset management, we develop equipment health scoring models that combine SCADA readings, maintenance history, age data, and loading information to rank assets by replacement priority.

For customer operations, we build analytics that segment customers by usage patterns, enabling targeted marketing for time-of-use rate plans, energy efficiency programs, and distributed energy offerings. We develop revenue protection analytics that identify potential meter tampering and billing anomalies. And for regulatory compliance, we automate the calculation of reliability indices like SAIDI, SAIFI, and CAIDI, along with the supporting documentation that public utility commissions require. Every analytics solution we build for utilities is designed with the data governance and security controls appropriate for critical infrastructure, including role-based access, data classification, and audit logging.

What we deliver

Solutions

  • 01

    Scalable Utility Data Platform

  • 02

    Data Quality Governance Framework

  • 03

    Automated Regulatory Report Generation

Industry Challenges

Problems we solve

01

Massive Data Volumes from AMI and SCADA

Millions of smart meters generating 15-minute interval data alongside high-frequency SCADA readings demand scalable storage and processing infrastructure.

02

Data Quality Issues Across Legacy Systems

Asset records, customer data, and operational logs accumulated over decades contain inconsistencies, gaps, and outdated information that undermine analytics reliability.

03

Regulatory Reporting Complexity

Utilities must produce detailed reliability, financial, and environmental reports for multiple regulatory bodies with specific calculation methodologies.

What We Build

Our approach

Scalable Utility Data Platform

We build data architectures using time-series databases and distributed processing that handle AMI and SCADA data volumes with sub-second query performance.

Data Quality Governance Framework

Our platforms include automated data quality rules, exception reporting, and stewardship workflows that continuously improve the accuracy of analytics inputs.

Automated Regulatory Report Generation

We build report engines that calculate SAIDI, SAIFI, CAIDI, and other required indices automatically from operational data, eliminating manual compilation efforts.

Results

What you can expect

50% reduction in regulatory reporting effort

Automated index calculations and report generation replace the manual data gathering and spreadsheet work that consumed days each reporting period.

25% improvement in asset replacement prioritization

Data-driven equipment health scores direct capital spending to the assets most likely to fail, maximizing the reliability impact of limited budgets.

Real-time grid visibility from transmission to meter

Integrated dashboards show system conditions at every level, enabling operators to identify and respond to issues faster than traditional monitoring approaches.

FAQ

Common questions

Things clients typically ask about analytics in this industry.

Ready to get started?

Tell us about your project and we will scope an engagement that fits.