Energy & Utilities · Data & Database Engineering

Operational data for energy and utilities

Bring meter, sensor, maintenance, and financial data together into validated models and reports that support maintenance and investment decisions.

Operators collect data from meters, sensors, maintenance systems, and finance, but each source uses its own identifiers, units, and timing. Planning maintenance or capital investment requires stitching those sources together by hand.

We build a documented data model that links assets, readings, work orders, and costs, with validation and reconciliation so reports can be trusted. The result supports maintenance planning, performance tracking, and investment decisions.

Things to keep in mind

  • Sensor data often needs cleaning for gaps and outliers.
  • Access to operational data should be read-only from business systems.
  • Document every transformation so reports can be audited.

How it works

  1. Map sources

    Identify meter, sensor, maintenance, and financial data sources and their formats.

  2. Link assets

    Connect readings, work orders, and costs to consistent asset identifiers.

  3. Validate

    Check units, timing, and totals against the source systems.

  4. Report

    Build reports on asset performance, maintenance, and cost.

Frequently asked questions

Can you handle large volumes of sensor data?

Yes. We design pipelines and storage around the volume and frequency of your data.

Will this touch our control systems?

Data is read through approved interfaces, without changing control systems.

Talk through Data & Database Engineering for your business.

Tell us what needs to work better. We reply within one business day with a clear next step.