Services/Data/Data centralisation & engineering
Data centralisation & engineering
Unifying the spreadsheets, legacy databases and departmental systems your organisation has accumulated over years into one governed platform: cleansed, connected and kept in sync with the systems that produce the numbers, so every team works from the same facts.
When this is the right move
You'll recognise the signs.
Every department has its own version of the truth
Finance, sales and operations each maintain their own spreadsheet of the same numbers, reconciled by hand before every board meeting, and rarely matching.
Critical data is locked in legacy systems
Years of records sit in databases and platforms nobody wants to touch, reachable only through manual exports, screen-scrapes, or the one person who still knows how they work.
Growth has left the data in fragments
Acquisitions, platform changes and new systems bolted on over time have each brought their own data model, with no single place that reflects the business as a whole.
Decisions wait on reconciliation, not analysis
Before anyone will sign off on a number, someone quietly checks it against their own spreadsheet. The delay is the tell that nobody fully trusts the source.
How we deliver it
Structured to remove risk.
Data centralisation projects typically fail in one of two ways: an all-encompassing model that takes a year to design and never ships, or a quick extract-and-load that copies the same errors into a shinier home. We centralise in sequence, starting with the data your decisions depend on most, and because the same team builds the pipelines and owns their quality afterwards, nothing degrades quietly once the project team moves on.
01
Audit the estate
Map every source system, spreadsheet and data store in current use: who owns it, what it feeds, and where the same fact already exists in more than one place. The audit becomes the plan for what gets centralised first.
02
Design the governed model
Agree a single data model and set of definitions with the people who use the numbers day to day, so 'customer', 'revenue' and 'region' mean one thing across the organisation. Ownership and stewardship are assigned before a single pipeline is built.
03
Build the pipelines
Automated, monitored pipelines bring data from source systems into the governed platform, with cleansing and de-duplication built into the flow rather than run as a one-off exercise. Everything is observable, so a broken feed is caught in hours, not discovered in next month's report.
04
Hand over stewardship
Data quality rules, ownership and monitoring stay in place after go-live, so the platform remains trustworthy as source systems and the business change. We remain accountable for the pipelines we build, not just the day they went live.
What you get
- Data audit and source mapping
- Central, governed data platform
- Automated pipelines from source systems
- Data quality rules and stewardship
What changes
- One governed source of truth in place of scattered spreadsheets and silos
- Data quality issues caught at the pipeline, not discovered in a board pack
- Decisions made with confidence because the numbers are no longer in question
- A platform that stays accurate as source systems and the business change
Contact
Start with a conversation.
Whether you have a defined requirement, an ageing estate, or just a problem worth solving, we'll give you a clear, honest view of the way forward. Every engagement begins with discovery.
Start a conversation