Managed data services: your data platform, run by people who build them

Pipelines fail at night, source systems change their fields, quality slips and reports go stale. Our managed data service takes on the daily running of your data platform: the loads, data quality, governance and reporting, handled by the engineers who build these platforms, and scaled up or down as your needs change.

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What we cover

What we runEnd-to-end support, from intake to insight
Data governanceGovernance that is done, not just written down
Daily operationsWatching the loads so your team does not have to
Data qualityQuality monitoring that leads to a fix
Security and accessYour data stays in your environment, under your control
EngagementScaled to what you need

What we run

End-to-end support, from intake to insight

A data platform has many moving parts, and each needs attention every day. We take responsibility for the whole flow: data intake from your source systems, the ETL pipelines that clean and load it, the warehouse or lake it lands in, the dashboards and reports on top, and the forecasting and predictive models that use it. You get one team that knows how the pieces fit together, instead of a separate supplier for each.

What we do

ETL and pipeline operations
Data warehouse and data lake administration
Reporting, dashboards and data visualization
Demand forecasting and predictive analytics

Data governance

Governance that is done, not just written down

Governance policies often stop at the document. We run them: we support your governance council with the information it needs, maintain the metadata and the catalog, manage master data and data quality rules, apply the security protocols you set, manage data through its life from creation to archiving, and report on compliance. Changes to definitions, owners and access go through an agreed process, and every change is recorded.

What we do

Governance policy and council support
Metadata and catalog management
Master data and data quality management
Data lifecycle management and compliance reporting

Daily operations

Watching the loads so your team does not have to

Every scheduled load is monitored. When one fails, a check does not pass or a source system changes a field, we investigate, fix what is ours to fix and tell the owner of anything that is not. We keep a log of every incident and its cause, so a recurring problem is fixed at the root rather than patched each time. You get a regular report of what ran, what failed, what we changed and what we recommend next.

What we do

Monitoring of every scheduled load
Investigation and fixes, with the root cause
Change management for schemas and definitions
A regular report of what ran and what changed

Data quality

Quality monitoring that leads to a fix

Quality rules are only useful if someone acts on the results. For a state public power authority, we run the data quality work on Ataccama ONE: quality rules, monitoring projects and issue tracking, connected to Power Automate so every data issue becomes a tracked task with an audit trail. The same approach works on any data platform: rules run on a schedule, failures reach the person who can fix them, and the trend shows whether quality is improving.

Security and access

Your data stays in your environment, under your control

Our engineers work in your environment through the access you grant, such as a VPN and named accounts, and you can see and revoke that access at any time. We follow your security and compliance policies, keep sensitive data where it is, and treat data integrity and confidentiality as part of the job rather than an extra. Every change we make is recorded.

Engagement

Scaled to what you need

Some clients want us to run the whole platform; others keep the daily work in-house and use us for specialist tasks, for cover or for a backlog of improvements. We agree the scope, the tools and the reporting at the start, and adjust the team up or down as your data and your projects change. Our engineers work with Power BI, Talend, Looker, Snowflake, AWS and SAS, as well as Azure and Microsoft Fabric.

Case studies

Managed data services in practice

Client names are withheld. We are happy to share details on a call.

All case studies

Ongoing engagement
Issues tracked to fix
Energy & utilities
Data Analytics
Data quality program for a state public power authority
We run data quality work on Ataccama ONE for a public power authority: quality rules, monitoring projects and issue tracking, connected to Power Automate so every data issue becomes a tracked task with an audit trail.
- Data issues tracked from detection to fix
- Ataccama ONE connected to Power Automate
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Questions

Common questions

What is a managed data service?

An ongoing service in which we run part or all of your data platform for you: the pipelines, the warehouse or lake, data quality, governance and reporting. Your team decides what the data is for; we keep it flowing, correct and documented.

Do you work with the platforms we already have?

Yes. We take over platforms built by your team or by someone else, after a review of what exists, how it is documented and what is fragile. We fix the urgent problems first and then agree a plan for the rest.

Who can access our data?

Access is through the accounts and connections you grant and can revoke at any time, such as a VPN. The data stays in your environment, and every pipeline and change is documented, so your own team can take over whenever you choose.

Can we start small?

Yes. Many engagements start with one part of the platform, such as the nightly loads or the data quality rules, and grow once the reporting shows the value.

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