Data Governance
You don’t trust your data. Different systems have different versions of the same information. No one knows which source is authoritative. We establish the rules, processes, and tooling that make your data trustworthy.
at a Glance
Ongoing ownership
framework designed for your team to maintain independently
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Foundation work
this is what makes dashboards, automation, and AI reliable
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No new platforms
governance built on your existing Microsoft 365 environment
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The Problem
Without data governance:
With data governance:
What the Build Covers
Data quality assessment
We audit your core operational systems to identify where data inconsistencies, duplicates, and gaps exist. Not a theoretical exercise — we look at the actual data.
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Master data identification
For each data domain (employees, participants, services, financials), we identify which system is the source of truth and document the current gaps between systems.
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Governance framework
Ownership, standards, validation rules, and review cycles. Who owns the data, how it should be entered, what happens when it’s wrong, and how often it’s reviewed.
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Implementation
Data quality rules built into your systems (validation rules, mandatory fields, automated checks), monitoring dashboards that surface issues before they compound.
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Documentation and training
For data owners and administrators so the governance framework is maintained after we leave.
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How It Works
Assessment
We audit data quality across your core systems, documenting inconsistencies, duplicates, and gaps.
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Design
We design the governance framework: master data sources, ownership model, quality standards, and validation rules.
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Implementation
Validation rules, mandatory fields, automated quality checks, and monitoring dashboards deployed in your environment.
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Training and handover
Data owners trained on their responsibilities. Administrators trained on monitoring and enforcement.
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Featured Result
The situation:
A common pattern across TechRam engagements — organisations want dashboards or automation but discover during scoping that their data isn’t reliable enough to build on. Employee records in HR don’t match the identity system. Compliance data in the rostering tool doesn’t match what’s in SharePoint. Finance reports don’t reconcile because source data was entered differently in each platform.
The result:
Data governance establishes the foundation. Once master data sources are identified and quality rules are in place, every subsequent build (dashboards, automations, integrations) works reliably from day one rather than inheriting the inconsistencies of the past.
Is This Right for You?
A good fit if you are…
Probably not a fit if…
Related Solutions
Cloud Managed Services
Ongoing management of your Microsoft cloud so savings don't drift back and small issues don't become outages.
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Integration
Your systems weren't designed to talk to each other. We build the connections — data sync and workflow orchestration across platform boundaries.
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Data & Reporting
Decisions made on live data, not last week's spreadsheet. Dashboards, analytics, and the governance that makes them trustworthy.
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Not sure if your data is ready for the project you’re planning?
A Discovery Call is the easiest way to assess your data landscape and find out what to do first.
Frequently Asked
Questions
