Managed Data Platform
Numbers everyone trusts. Clear ownership of your data, personal data under control, and reports that are right every morning. We set it up with you and run it for you.
Numbers everyone trusts. Clear ownership of your data, personal data under control, and reports that are right every morning. We set it up with you and run it for you.
Problem
Finance has one number, sales has another, and the spreadsheet that quietly became a system of record has a third. Your data protection officer can't say where personal data lives. And every AI plan stalls on the same sentence: our data isn't ready. The problem is rarely the technology. Nobody agreed who owns which data, what it may be used for, or which numbers matter most.
What You Get
Not a data warehouse project. A clear answer to who owns which data, what it may be used for and which numbers to trust, and a partner who keeps it that way.
Agreed definitions and one owner per data set, so the meeting is about the decision, not about whose number is right.
You know where it lives, who can see it and how long it is kept, with the records to show for GDPR.
Key data checked every time it refreshes, with a warning before the business sees a wrong number.
Data platform spend tied to the teams and reports that use it.
Trusted, approved data that AI can use under the same rules as your people.
We keep the platform, the rules and the key reports in shape, month after month.
Approach
Each step starts with a short project that sets things up, and continues with a flat monthly service that keeps it working. Take the steps you need, in the order that makes sense for you.
Step 1 · Direction
Data becomes a standing item on your leadership agenda. At every meeting you decide which data requests are worth doing, with someone in the room who knows the options.
Step 2 · Rules
Who owns which data, how it is classified and which data products matter most. Written down, signed off, then kept current.
Step 3 · Foundation
A secured data platform in your own cloud, on AWS or Microsoft Fabric, with access rules taken straight from step 2. One of your sources flowing before we leave.
Step 4 · In use
Once reports and AI depend on your data, someone needs to check it every day. We watch freshness and quality, and roll back a bad load before it spreads.
There is no separate compliance add-on to buy. Classification, access, retention and recovery are built into the rules, the platform and the day-to-day running.
Trusted data is what makes AI useful. Data products approved here can be used by AI under the same rules as your people.
How It Goes
Three phases. Most organisations have their data rules signed off within a month, and a working data platform with a first source flowing a couple of weeks after that.
A few short workshops with your people, and we write the document. Who owns which data, what it may be used for, and which data products matter most.
Which parts of the business own which data, and who decides.
Where it lives, where it may go and how long it is kept.
What correct means for your key data, and who may see what.
Signed off by a named owner. It decides what gets built first.
Data Governance ModelA secured data platform in your own cloud, built from ready-made parts, with one of your sources flowing end to end.
Raw, cleaned and ready-to-use data kept apart, in open formats.
Who may see what, generated from your classification.
Encrypted, private and kept in the EU by the platform itself.
Proof the path works, and the template for every source after it.
Data Landing ZoneWe look after the platform, the rules and your key data, as far as your tier goes.
Capacity sized before month end, access kept right, problems fixed.
Managed Data FoundationA live catalogue, access reviews, quality scorecards and GDPR records.
Managed Data GovernanceRegular data meetings and a quarterly brief, so your data plan survives the budget cycle.
Data AdvisoryService Tiers
Every tier includes all four steps. The difference is how often we sit down with you: monthly, every two weeks or every week. Start where you are and move up when more of the business depends on your data.
Everything included, with a monthly rhythm. For organisations getting started.
Everything included, every two weeks. For organisations where several parts of the business produce data.
Everything included, every week. For organisations where daily decisions run on your data.
Detailed Comparison
| Feature | Data Essentials | Data Standard | Data Advanced |
|---|---|---|---|
| Direction | |||
| Meetings with your data architect | Monthly | Bi-weekly | Weekly |
| Quarterly brief | Included | Included | Included |
| Quarterly review with your leadership | — | — | Included |
| Requests sorted, tools compared | Included | Included | Included |
| Rules | |||
| Catalogue of data, owners and definitions | Included | Included | Included |
| Personal data found, access reviewed | Included | Included | Included |
| Quality scorecards, GDPR records | Included | Included | Included |
| Data costs by team and report | Included | Included | Included |
| Foundation | |||
| Capacity managed | Included | Included | Included |
| Access rules kept in shape | Included | Included | Included |
| Monitoring and incident handling | Included | Included | Included |
| Platform kept up to date | Included | Included | Included |
| Your key data | |||
| Freshness and volume checked | Per data product | Per data product | Per data product |
| Quality checks, incidents handled | Per data product | Per data product | Per data product |
| Bad loads rolled back | Per data product | Per data product | Per data product |
Every tier starts with a Data Landing Zone and builds on a signed-off Data Governance Model. Your key data products are billed per data product in every tier. Prices are starting points; your quote follows your scope.
FAQ
Field Notes
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Start with the rules. In a few weeks you know who owns which data and what to build first.
