Managed GCC
Data & Analytics
Every stalled AI project we are asked to rescue has the same root cause, and it is never the model.
Organisations tend to discover the state of their data at the worst possible moment - halfway through an automation build, when it turns out the same customer exists four times with three spellings and two different identifiers.
Getting to one version
We consolidate the sources that matter into a warehouse with defined ownership, then agree what the core entities actually are. Not an enterprise data model that takes two years - the eight or ten definitions that people currently argue about in meetings.
Reporting people trust
Dashboards fail when two of them disagree and nobody can say which is right. Defining the metric once, in one place, with the calculation visible, does more for adoption than any amount of visual design.
Quality as a running measure
Completeness, duplication and freshness monitored continuously and reported like any other service metric. Data quality treated as a project has a habit of decaying the month after the project closes.
Then, and only then, AI
With consistent entities, defined metrics and monitored quality, automation becomes an engineering problem rather than an archaeology problem. Skipping this step is the single most reliable way to spend a year on AI and have nothing in production.
What is included
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Source consolidation
The systems that matter brought together, with an owner named for each feed.
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Agreed definitions
The eight or ten entity and metric definitions people currently argue about, settled once.
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Trusted reporting
One calculation, one place, visible logic - so two dashboards stop disagreeing.
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Quality monitoring
Completeness, duplication and freshness reported continuously, not audited annually.
Common questions
Before you ask
No. Most engagements start with either an assessment or a co-managed arrangement where we take tickets and after-hours while your team keeps everything else. Expanding from there is a decision you make with two quarters of evidence rather than a sales promise.
Per user per month for the recurring service, with servers and sites priced separately. Project work, migrations and hardware are quoted individually so the monthly fee never becomes the place surprise costs hide.
A dedicated offshore team working only for you, in an entity we set up and run to your standards. It is not a shared outsourcing pool - the people are yours, and if you want to own the entity eventually, the transfer date goes in the contract up front.
Below roughly 50 seats the governance overhead usually eats the saving. Between 50 and 150 it works if the work is coherent enough to justify dedicated leadership. Above 150 the economics are almost always favourable if retention holds.
Frequently, and it is one of the arrangements that works best. We agree a written split of responsibilities before starting so nothing lands in the gap between two teams, and we work inside your ticketing system rather than making you adopt ours.
Related
Often bought together
Managed IT Services
Monitoring, patching and service desk - plus managed application services for the ERP and legacy systems your business actually runs on.
ExploreCo-Managed IT & Help Desk
Your internal team keeps the strategy and the relationships; we take the tickets, the nights and the overflow.
ExploreCybersecurity
Managed detection and response, endpoint hardening, and the evidence your insurer and clients now demand.
ExploreReady to find out what your IT is really costing you?
A 45-minute working session gets you an honest read on estate health, security posture, and the two or three changes that would pay for themselves first.