Industries / Energy
Data Analytics Consulting
for the Energy Sector
From upstream production to grid operations — turning energy data into strategic decisions.
The Problem
Challenges in Energy Data
Fragmented Operational Data
SCADA systems, DCS controllers, ERP platforms, IoT sensors, and historian databases each hold a slice of the truth — but no single source connects them into an actionable picture.
Slow Decision Cycles
Production reports lag days behind live operations. By the time numbers reach the desk, market windows close and equipment issues compound — costing revenue and uptime.
Regulatory Pressure
EU Taxonomy, TCFD, carbon-intensity reporting, and safety compliance frameworks all demand clean, auditable data trails. Manual extraction from siloed systems creates risk and consumes analyst hours.
What We Do
Delta BI's Energy Analytics Services
Production Analytics & KPI Dashboards
Real-time production volumes, downtime tracking, and well-performance monitoring in a single pane of glass — updated as data flows, not the next morning.
Asset & Equipment Intelligence
Predictive maintenance models, MTBF analysis, and failure-pattern detection keep critical rotating equipment online and maintenance spend targeted.
Energy Trading & Market Analytics
Spot-price modelling, portfolio optimisation, and risk dashboards that give commercial teams an analytical edge over market volatility.
ESG & Carbon Reporting
Scope 1, 2, and 3 emissions tracking, EU ETS compliance dashboards, and sustainability KPIs built to satisfy both internal governance and external disclosure requirements.
In Practice
Example Use Cases
Illustrative scenarios and sample figures, not verified client results or promised savings.
North Sea Operator
Offshore Platform Operations
Example scenario: combine SCADA feeds, historian data and maintenance records in an operational dashboard. Evaluate anomaly alerts against reviewed equipment events before assigning a savings target.
30% reduction in unplanned downtime
European Renewable Portfolio
Renewable Energy Grid Balancing
Example scenario: evaluate generation forecasts and dispatch schedules against a historical baseline. The sample curtailment figures illustrate a calculation, not an achieved client outcome.
Curtailment reduced from 8 % to 2 %
Mid-Sized E&P Company
Oil & Gas Commercial Reporting
Example scenario: combine ERP, trading and production records for a daily P&L dashboard. Measure the current reporting effort and validate reconciliation rules before automating the workflow.
Sample reporting workflow
Technology
Tools We Use
Power BIAzure DatabricksApache KafkaPythonTimescaleDBGrafanaSCADA IntegrationAWS
Outcomes
Illustrative Targets
30%
Sample downtime reduction
Illustrative target only; establish the equipment baseline and measure a pilot before estimating savings.
€3.2M
Sample annual savings assumption
Illustrative calculation only; generation, tariff and curtailment assumptions need validation.
60%
Sample reporting-time reduction
Illustrative target only; validate reporting rules and reviewer responsibilities before measuring time saved.
Illustrative example
Explore how an operational project could work.
These scenarios and sample figures illustrate an approach. They are not verified client results or a promise of savings. Actual scope and outcomes depend on the data, systems and operating conditions.
Illustrative example. These scenarios and sample figures illustrate an approach. They are not verified client results or a promise of savings. Actual scope and outcomes depend on the data, systems and operating conditions.
Illustrative exampleLNG Carrier Scheduling
Optimised cargo plans replaced multi-day spreadsheet scheduling and reduced avoidable cost.
$2.4M saved annually
Illustrative examplePredictive Asset Intelligence
High-frequency sensor models demonstrated how critical equipment can be monitored before failure.
21-day early warning
Illustrative exampleSmartMaintain
Connect condition signals to maintenance planning, inventory, and procurement workflows.
From alert to action
Ready to make your energy data work harder?
Explore a scoped data project for upstream operations, renewable portfolios or energy-trading workflows. Start with available sources, validation requirements and a measurable baseline.