Delta BI is a data engineering and applied AI consultancy
Operational data, made useful.
Connect systems. See clearly. Act sooner.
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Data Foundations
Unify your operational data.
Decision Dashboards
Turn complexity into clarity.
Applied AI
Put your data to work.
SmartMaintain
From vessel to wind farm, turn operational data into predictive maintenance decisions that help keep assets running.
Explore SmartMaintain
From source to action
One governed foundation. Every operational decision.
We replace disconnected exports and manual reconciliation with a dependable flow from source systems to the people and processes that need the answer.
01 / Source systems
ERP & finance
Sensors & assets
Spreadsheets
Operational apps
02 / Unified foundation
Governed data model
Clean definitions, automated pipelines, access controls, and one dependable version of every operational metric.
03 / Operational value
Live decision dashboards
Predictive alerts
Automated workflows
Trusted by industry leaders
How we build
Three capabilities. One connected delivery system.
Strategy stays tied to implementation, so the data foundation, decision layer, and automation work as one system.
Custom consulting services
Data Foundations
We connect ERP, sensor, finance, and operational systems into a governed data layer your teams can trust.
Core deliverable
Unified warehouse, pipelines, and metric definitions
Focused products configured for your operation
Predictive Maintenance Platform
SmartMaintain
SmartMaintain reads live sensor data from your equipment and predicts failures before they happen. It talks to procurement, inventory, and finance so work happens without you chasing it.
- 01
Read sensor data
Continuously ingest vibration, temperature, pressure, and equipment history.
- 02
Detect anomalies
Identify abnormal patterns before they become critical failures.
- 03
Prioritise intervention
Rank risk by asset, operational impact, and time to failure.
- 04
Trigger action
Create maintenance tasks and procurement signals inside existing workflows.
Finance Automation
Automate invoice processing, tax workflows, and forecasting without distracting from the operational data foundation.
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.
01 / 03
18%
Fuel cost reduction
Route optimisation using live weather, vessel, and port data.
Explore the exampleWhere value gets blocked
The warning signs of a fragmented data operation.
These problems rarely start in the dashboard. They begin in the systems, definitions, and handoffs underneath it.
Sensor data, ERP exports, and spreadsheet workarounds spread across five systems. Nobody trusts the numbers, so every meeting starts with an argument about whose version is right.
By the time a report lands on your desk, the event it describes is two weeks old. You are steering the business through the rear-view mirror.
Analysts spend time vetting and reconciling data instead of finding the next margin opportunity. Measure that effort in your own operation before estimating potential savings.
Cost of Inaction
Delay compounds across the operation.
Map the cost of fragmented information using your own downtime records, staff time and rework. Costs vary with the equipment, data and operating conditions.
Downtime
Operational disruption
Equipment failures can interrupt operations and create repair, charter and expedited-parts costs. Use your own incident history to estimate the impact.
Rework
Time spent reconciling data
Track the hours spent checking definitions, matching records and correcting reports before setting an improvement target.
Delays
Decisions waiting on data
Record which decisions are delayed by missing or conflicting information and establish a baseline for a focused pilot.
FAQ
Frequently Asked Questions
Everything you need to know before getting started.
Timing depends on data access, quality, integration work and the agreed deliverables. We start with a scoped assessment, confirm a delivery plan and review progress in increments.
Deepest in Maritime, Shipping, Logistics, and Energy. We also work with Manufacturing clients. Recent work covers route optimisation, predictive maintenance, last-mile logistics, port operations, and renewable grid management.
Yes. We size the solution to the client. Scale-ups building their first data stack through to enterprises replacing legacy systems.
We pick the best tool for the job. Common stack: Snowflake, BigQuery, or Redshift for warehousing, dbt and Airflow for pipelines, Power BI or Tableau for dashboards, and Python, PyTorch, or XGBoost for machine learning.
Security requirements are agreed during scoping, including access roles, encrypted transfer, audit records and data retention. Your team confirms the controls required for your environment.
Services are custom consulting for your specific data problems. Products like SmartMaintain and Finance Automation are pre-built platforms we deploy and tune for you. Faster time-to-value for specific use cases.
We agree on measurable success criteria in Phase 01. Tied to real business outcomes like cost reduction, uptime, or faster decisions. Every deliverable is checked against those criteria before go-live.
Two-week sprints with weekly demos, so you always know what we are building. You get a project lead, a shared Slack channel, and a live delivery board. We work like part of your team, not a black box.
Start with the decision
Turn one operational challenge into a measurable data plan.
Tell us about your challenge. We will reply to arrange an assessment and identify a practical route to delivery.
Request a data assessment