One governed layer the whole business feeds.
Pipelines that bring operational data from every source system into a single modelled layer — documented, monitored and arriving on a schedule people can rely on.
Why systems disagree about the same fact
Every system holds part of the truth and none holds all of it. Without a governed layer that reconciles them, each report becomes an argument about whose extract was right, and the argument is settled by whoever is most senior in the room.
- Two reports on the same subject produce different numbers.
- Analysts spend most of their time assembling data rather than analysing it.
- Nobody can say when a given dataset was last refreshed.
- A pipeline breaks silently and the report simply shows stale figures.
What we build
Ingestion, modelling and monitoring into one layer that analytics, automation and AI all read from — so there is one definition of a customer, an order and a month.
Read: data readiness is the real prerequisite →- Ingestion from ERP, CRM, POS, document stores and databases
- A modelled layer with documented entities and definitions
- Incremental loading and change data capture where the source supports it
- Data quality tests that fail loudly rather than passing stale data through
- Lineage: which source and which transformation produced any given field
- Freshness monitoring and alerting on schedule breaches
How it runs
Modelled once, consumed by everything. That single dependency is the point.
- 01Inventory the sources
What systems hold what, how they can be read, and how often they change.
- 02Model the entities
Customer, order, invoice, product — defined once, with the definitions written down and agreed.
- 03Build incremental pipelines
Change-driven where possible, so refresh is minutes rather than a nightly full reload.
- 04Test at the boundary
Row counts, referential integrity and business rules checked on load. A failed test stops the load rather than publishing bad data.
- 05Publish with lineage
Consumers read from the layer, and every field can be traced back to its source and transformation.
What changes once it is running
What a single governed layer changes for everyone downstream.
Reports stop disagreeing
One definition of each entity means two reports on the same subject produce the same number.
Staleness is visible
Freshness is monitored and published, so an out-of-date figure is labelled rather than trusted.
Analysts analyse
Time spent assembling data moves to time spent interpreting it.
AI becomes possible
Governed, documented, access-controlled data is the actual prerequisite for retrieval and automation that work.
How an engagement is shaped
Delivered domain by domain, so value arrives before the whole estate is modelled.
Source audit and model
Two to four weeks inventorying sources and modelling the first domain, with definitions agreed by the people who use them.
Build the first domain
Pipelines, tests and monitoring for one domain end to end — usually the one behind the report that causes the most argument.
Extend
Additional domains onto the same layer and the same standards, with operation optionally managed.
Common questions
The things buyers ask before they commit. If yours is not here, it is a good first question for the assessment.
- Do we need a data warehouse or a lakehouse?
- At mid-market volumes, often neither in the product sense. A well-modelled database with proper pipelines serves a large number of businesses. We size the platform to the data rather than to the category.
- How long before analytics improves?
- The first domain typically produces usable reporting within six to eight weeks. Estate-wide coverage is a programme, and it should be sequenced by which domain is causing the most pain.
- What if a source system cannot be read cleanly?
- That constraint comes out of the source audit, before it becomes a surprise. Sometimes the answer is a vendor conversation; sometimes it is accepting a lower refresh frequency for that source and labelling it honestly.
Bring the report two teams argue about.
The disagreement is almost always a definition problem, and it is a good place to start modelling.