Data Governance and Master Data · Data & Analytics
Every team has a different number for the same customer, product or financial figure.
For CFO, CIO, CDO or head of data, finance and business leaders
When customer, product and finance data lives in many places with no clear owner, every team ends up with its own version of the truth. We help you make data owned, trusted and findable, without building a bureaucracy nobody wants. We start by measuring where you really are: which sources exist, how good the data is and how mature governance is. Then we stand up a working foundation: a populated Microsoft Purview catalog, named owners and stewards, measurable data quality, and master data for your core domains.
How we work
What we do
Open a step to see what happens and what you receive.
Advisory: Data Governance Strategy & Operating Model
Advisory, with an optional ongoing vCIO cadence. For leaders tired of competing versions of the numbers, who want to invest in master data or analytics but lack a governance foundation.
- Business outcomes and use cases for customer, product and finance
- Governance vision, principles and policy framework
- Operating model: owners, stewards, custodians and decision rights
- Master data domain strategy with priorities and sequencing
- Tooling direction, including Microsoft Purview and master data platform options
You receive: a governance operating model, a master data domain strategy, a data quality, lineage and metadata approach, a phased roadmap with maturity targets and an executive briefing.
Assess: Data Estate & Governance Maturity Assessment
Fixed fee. For leaders who need evidence of data quality, duplication and governance gaps before investing in a catalog or master data platform.
- Read-only inventory and profiling of data sources
- Unstructured data and file share sampling
- Governance maturity across ownership, catalog, quality, lineage, master data and security
- Sample-based customer, product and finance profiling
- Data quality baseline and tooling fit
You receive: a data source inventory, governance maturity scorecard, master data and data quality findings, a prioritized roadmap and an effort range for implementation. The assessment changes no data.
Implement: Data Governance & MDM Foundation
Project under a statement of work. For organizations ready to name owners and stewards and adopt a stewardship process.
- Microsoft Purview catalog for in-scope sources: scans, classification and metadata
- Business glossary, critical data elements, owners and stewardship workflows
- Data quality rules and scorecards, and lineage for priority pipelines where connectors support it
- Master data for customer, product and finance: match, merge and survivorship rules
- Golden records integrated with consuming systems
- Operating model rollout and steward training
You receive: a configured catalog and glossary, data quality scorecards, golden records integrated with consuming systems, and runbooks, steward training and governance health KPIs.
Want to know what this would look like for you?About 30 minutes with a practitioner from the practice that does the work. You’ll leave with a clear view of your next step.
Book a 30-minute conversationOutcomes
What you can expect
- A measured baseline of your data and governanceAssessment
- Named owners and stewards with clear decision rightsAdvisory
- A catalog people can use to find trusted dataImplementation
- One trusted view of customer, product and financeImplementation
- A sounder foundation for Copilot and other AIImplementation
Each outcome is labelled with the stage that delivers it. An assessment or advisory engagement on its own does not include the implementation work.
Is this right for you?
Tick what sounds familiar
Select the needs that apply. We’ll collect them here so you can review the fit.
DeliverablesDeliverables by phase (20)
Advisory
- Governance vision, principles and policy framework
- Governance operating model
- Master data domain strategy
- Tooling direction and selection criteria
- Phased roadmap with maturity targets
- Executive briefing
Assess
- Data source inventory
- Governance maturity scorecard
- Master data profiling findings
- Data quality baseline
- Unstructured data findings
- Prioritized roadmap and implementation effort range
Implement
- Configured Purview catalog
- Business glossary and governance domains
- Stewardship workflows
- Data quality rules and scorecards
- Lineage for priority pipelines
- Master data for customer, product and finance
- Integration of golden records
- Runbooks, steward training and governance health KPIs
Good to know
Questions leaders ask
Do you need access to our production data?
The assessment uses read-only access and agreed samples, set up after the engagement is agreed. You approve where samples are held, how they are masked and how long they are kept.
We tried data governance before and it became a committee nobody attended. Why is this different?
We start from the outcomes you care about, such as one customer number, and build only the roles and rules needed to deliver them, with stewardship built into everyday workflows.
We already have Purview licenses. Can't we just turn it on?
Purview is a strong foundation, and we use what you have. Scanning sources is the easy part; what makes a catalog useful is the glossary, ownership, stewardship workflows and quality rules around it.
Which master data platform do you use?
Microsoft Purview is the assumed catalog. The master data platform is selected with you and licensed by you; we support the selection and build on the chosen platform.
Will you clean our data?
The assessment does not change source data. Implement sets up quality rules, scoring and match and merge rules so issues are measured and resolved through stewardship, rather than a one-off clean-up.
Do we need master data management, or just better reports?
It depends on whether the problem is duplicate or conflicting records across systems, or how reports are built. The assessment profiles customer, product and finance data to show which it is.
Does this make us compliant with privacy regulations?
It produces documented ownership, classification, lineage and controls that support your compliance work. Whether that meets a specific regulation is a question for your compliance team.
Why it matters nowThe numbers behind this
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Talk to us about Data Governance and Master Data
Tell us the decision, deadline or problem in front of you.
- A reply from the practice that does the workThe practitioners who would deliver it.
- A short conversationWhat needs to happen, and by when.
- A written proposalWhat you would receive, how long it takes and the fee, before you commit.
No cost, no obligation.
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About 30 minutes with a practitioner from the practice that does the work, not a salesperson. It’s about your situation, and you’ll leave with a clear view of your next step. No cost, no obligation.
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