Data Analytics & Decision Intelligence
We join your data into one trusted layer, then build the reports on top. Your teams get one number for each measure, not three.
One Source of Truth
One layer that pulls data from each of your systems.
Decision-Ready Insight
Dashboards built around the choices you make each week.
Real-Time Where It Matters
Live data where minutes matter, batch where they do not.
Governed & Trusted
Lineage, quality checks and access rules are built in.
Our Data & Analytics Capabilities
Data Engineering
Pipelines that pull, clean and load data from ERP, CRM and files.
Data Warehouse & Lakehouse
A store built to answer questions, not to run daily entry.
BI & Dashboards
Reports your team pulls itself, without waiting a day on us.
Advanced Analytics
Cohorts, attribution and what-if models.
Data Quality Monitoring
You hear that a feed broke, not the board.
KPI & Metric Layer
One meaning per metric, in each tool.
Where This Creates Impact
- Faster Reporting Cycles
- 60%+Faster Reporting Cycles
- Reduction in Manual Reporting
- 40%+Reduction in Manual Reporting
- Data Pipeline Reliability
- 99%+Data Pipeline Reliability
- Faster Access to Insight
- 3–5xFaster Access to Insight
Figures are typical ranges observed across comparable engagements, not guaranteed outcomes.
Popular Use Cases
Executive Dashboards
One view of the business, refreshed each hour.
Operations Analytics
Watch output, cost and machine use, hour by hour.
Customer 360
One record per customer, across all channels.
Revenue Analytics
See where the growth really comes from.
How This Actually Works
The usual problem is not missing data. It is data that disagrees. Three systems report three revenue figures, and each one can be defended. So we fix the meanings first. One agreed definition per metric, before anything is drawn on a chart.
Pipelines then move data from your source systems into a warehouse or lakehouse. The schedule matches the decision it feeds. Most day-to-day reporting does not need live data. Building it anyway adds cost and breakage for no gain.
What You Get
- Pipelines that load data from your source systems
- A warehouse or lakehouse built for analysis
- One agreed definition for every metric
- Dashboards in the BI tool you already run
- Quality checks that alert you when a feed breaks
When This Is Not the Right Fit
We would rather tell you now than three weeks into a project.
- One person needs one report a month — a query and a spreadsheet is the honest answer
- Nobody has agreed what the metrics mean, and nobody wants to — no tool fixes that
- You want a dashboard nobody has agreed to act on
How We Deliver
- 01
Discover
Understand your business, data, challenges and goals.
- 02
Design
Prioritise use cases and design the solution architecture.
- 03
Build
Develop, train and validate models against real outcomes.
- 04
Deploy
Integrate into your systems with monitoring and governance.
- 05
Optimise
Measure, refine and scale what demonstrably works.
Data & Analytics — Common Questions
Not always, no. For one focused question we can read from the source systems. A warehouse pays for itself once three or four teams need the same answer from the same numbers. That is usually the real problem.
Almost always because each tool counts it differently. One shared metric layer fixes that: one meaning for revenue, one for active customer. At this stage it is often the most useful thing we build.
Yes. We build the data layer and the metric layer under them. Your team keeps working in the tool it already knows.
From live streaming to a nightly batch, depending on the decision. Most day-to-day reports do not need live data. Building it anyway costs more and breaks more often.
Ready to build your data foundation?
Book a 30–45 minute discovery call. No commitment — just a clear view of what is realistic for your business.
Book a Free Consultation