Thinklytics

Energy & Utilities Analytics Consulting

Energy and utilities data analytics consulting. We build grid reliability analytics, ESG reporting pipelines, and predictive maintenance data infrastructure.

Topics

  • energy data analytics consulting
  • utilities analytics
  • grid reliability analytics
  • ESG reporting data
  • smart meter analytics
  • SCADA data integration

Work delivered in this industry

Regional Electric Utility

We deployed grid reliability analytics to 180 operations staff, cutting average restoration time by 34 minutes.

34 minutes Reduction in mean time to restore per outage.

Investor-Owned Utility

Built a reliable ESG data system that cut sustainability report prep time from 18 weeks to 3 weeks.

18 to 3 weeks Annual sustainability report preparation.

Midstream Energy Company

We implemented AI-driven predictive maintenance on 340 compressor stations, cutting unplanned downtime and saving $1.7M a year.

$1.7M Downtime savings, year one.

Municipal Electric Utility

Built a smart meter data system for 680,000 meters that cut demand response program costs by $3.4 million.

$3.4M Avoided capacity costs in first summer.

Mid-Market Energy & Utilities Company (representative)

We carried asset and reporting data through an S/4HANA migration with zero reporting blackout, in 16 weeks.

16 wks Assessment, remediation, and BW modernization.

What clients in this industry usually arrive with

  • Reporting can't be trusted, described as sales and finance numbers don't match or inconsistent KPI reporting. Resolved by Metric governance, data cleaning, master data management, data engineering.
  • Reporting takes too much work, described as automate monthly reporting or combine reports from multiple systems. Resolved by Executive reporting, integrations, ERP consolidation.
  • Employees waste time finding information, described as search internal company documents or find policies and procedures quickly. Resolved by Knowledge assistant, RAG, unstructured data platform.
  • Systems require manual handoffs, described as eliminate manual data entry between systems or automate approval workflows. Resolved by API integration, workflow automation, human review design.
  • AI projects aren't delivering value, described as measure AI ROI or AI pilot not moving to production. Resolved by Strategy, readiness assessment, AI PMO, adoption.
  • AI is too risky to deploy, described as AI confidential data protection or control AI agent permissions. Resolved by Governance, AI security, agent identity, evaluation.

Other industries

Start with the 30-day Analytics Truth Audit.

Frequently asked questions

How do you integrate SCADA and operational technology data with enterprise analytics?

We build the integration and transformation layer that bridges OT systems and enterprise data platforms without disrupting operational processes. We work with your IT and OT teams to define the data contracts, security boundaries, and refresh cadences that make this integration sustainable.

Can you help with ESG and sustainability reporting?

Yes. We build automated data pipelines that collect, normalize, and validate sustainability data from operational, financial, and procurement systems. The result is a reporting-ready data layer that reduces manual effort and supports third-party assurance.

How long does an energy and utilities data engagement typically take?

Most energy and utilities data foundation engagements run 12 to 18 weeks. The complexity of OT integration and regulatory requirements typically extends the timeline compared to other industries. We start with a 30-day Analytics Truth Audit before any build work begins.

Do you work with both regulated utilities and independent power producers?

We work with both. Regulated utilities typically need help with regulatory reporting automation and grid analytics. Independent power producers and renewable developers typically need commercial analytics and ESG reporting infrastructure. The data challenges differ but our approach is consistent.

Energy data work that supports reliability and compliance.

Why energy analytics projects stall.

What energy and utilities clients ask before they engage.

Often paired with energy and utilities engagements.

Ready to fix your energy data layer?

Moving to S/4HANA? Keep your reporting alive through the move.

Regulatory compliance reporting for FERC, NERC, and state commissions

Sustainability data is scattered across operational, financial, and procurement systems

How do you integrate SCADA and operational technology data with enterprise analytics?

We build the integration and transformation layer that bridges OT systems and enterprise data platforms without disrupting operational processes. We work with your IT and OT teams to define the data contracts, security boundaries, and refresh cadences that make this integration sustainable.

Yes. We build automated data pipelines that collect, normalize, and validate sustainability data from operational, financial, and procurement systems. The result is a reporting-ready data layer that reduces manual effort and supports third-party assurance.

How long does an energy and utilities data engagement typically take?

Most energy and utilities data foundation engagements run 12 to 18 weeks. The complexity of OT integration and regulatory requirements typically extends the timeline compared to other industries. We start with a 30-day Analytics Truth Audit before any build work begins.

Do you work with both regulated utilities and independent power producers?

Start with a 30-day Analytics Truth Audit. We identify exactly what is broken and give you a 90-day roadmap to fix it.

Moving to S/4HANA? Keep your reporting alive through the move.

Energy and utilities run on a sprawling BW estate and asset data that breaks when the model changes. Our SAP practice rationalizes BW, re-points reporting, and protects continuity so operations never go dark at cutover.