Data Strategy Consulting

Data Governance Consulting That Makes Your Data Trusted & Controlled

Numlytics delivers expert data governance consulting to enterprises across the US, UK, Australia & UAE. We design and implement data governance frameworks that establish data ownership, enforce quality standards, track lineage, and ensure compliance - so every number your organisation relies on is accurate, trusted, and defensible.

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Full framework design - ownership, quality, lineage & catalogue
Microsoft Purview implementation included where required
Practical governance that teams actually follow, not just documentation
Up to 50% lower cost vs US/UK strategy consulting firms
Typical Outcomes
4wk
Core governance framework
designed in 4–6 weeks
80%
Reduction in data quality
disputes after implementation
1
Single source of truth
across all business units
50%
Lower cost vs US/UK
consulting firms
Framework covers
Data Ownership
Data Stewardship
Data Quality Rules
Data Lineage
Data Catalogue
Access Control
Data Policies
Compliance Readiness
What We Cover

Governance That Actually Gets Adopted

Most data governance projects fail not because the framework was wrong, but because nobody followed it. Policies were written by consultants who had never met the analysts expected to enforce them. Data owners were assigned without authority. Quality rules existed in a spreadsheet no one looked at.

Our data governance consulting is built around adoption, not documentation. We co-design your data governance framework with the people who will use it - data stewards, analysts, IT leads, and business owners, so the policies, ownership structures, and quality rules reflect how your organisation actually works. Then we implement the tooling to make governance visible, measurable, and maintainable over time.

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Why Clients Come to Us
"Every team has a different version of the numbers"
Finance says revenue is X. Sales says Y. Marketing says Z. No shared metric definitions, no agreed calculation logic, and leadership meetings wasted arguing about the data.
"Nobody knows who owns which data"
Data quality issues surface in dashboards with nobody accountable. Requests to fix data bounce between teams because ownership was never formally assigned.
"We can't trace where a number came from"
An executive questions a figure in a report. Nobody can explain the calculation, which source system it came from, or when it was last updated. Credibility erodes.
"Compliance is asking us to prove data lineage"
Regulators or auditors require documented data lineage, access logs, and data quality evidence. The organisation has none of it in a usable form.
Framework Components

Six Pillars of Your Data Governance Framework

Every Numlytics data governance framework is built across these six components - designed together as an integrated system, not a collection of disconnected policies.

Data Ownership & Stewardship

We define data owners and stewards for every critical data domain - with clear roles, responsibilities, and escalation paths. Ownership that exists on paper and ownership that drives accountability are very different things.

Data domain ownership model design
Stewardship roles & responsibilities
RACI matrix per data asset
Data Quality Standards

We design and implement data quality rules - completeness, accuracy, consistency, timeliness, and uniqueness checks - automated through your data platform so issues are detected before they reach dashboards or decision-makers.

Quality dimension definitions per domain
Automated validation rules in dbt / Purview
Data quality dashboards & alerting
Data Lineage & Traceability

We implement end-to-end data lineage tracking so every KPI, report, and dataset can be traced back to its source system - with full visibility into every transformation applied along the way.

Source-to-report lineage mapping
Microsoft Purview lineage implementation
Impact analysis for upstream changes
Data Catalogue & Glossary

We build and populate a business data glossary and technical data catalogue, so every analyst, data engineer, and business stakeholder uses the same definitions for the same terms. No more "what does 'revenue' mean in this context?"

Business glossary design & population
Technical metadata cataloguing
Microsoft Purview catalogue setup
Access Control & Security

We design and implement data access governance - role-based access control (RBAC), row-level security in Power BI, column-level encryption, and audit logging - ensuring the right people see the right data, and that access is auditable.

RBAC design across all data assets
Power BI row-level security implementation
Access audit logging & review process
Data Policies & Compliance

We write practical data governance policies, data retention, classification, breach response, and regulatory compliance frameworks (GDPR, CCPA, SOC 2), that your teams can actually follow, not just sign off on.

Data classification & retention policies
GDPR / CCPA / SOC 2 readiness
Policy documentation & training
How We Deliver It

From Assessment to Adopted Framework in 4 Phases

Our data governance consulting engagement is structured to deliver a working, adopted framework, not just a documented one.

Discover & Diagnose

Stakeholder workshops, data landscape interviews, and a current-state governance audit. We map your data domains, identify ownership gaps, and quantify quality issues before designing anything.

⏱ Weeks 1–2
Design the Framework

We co-design your governance model with key stakeholders - ownership structures, stewardship roles, quality standards, policies, and catalogue architecture - built around how your organisation actually works.

⏱ Weeks 2–4
Implement the Tooling

We configure Microsoft Purview, implement data quality rules in dbt or your pipeline layer, set up access controls, and populate the data catalogue - making governance visible and automated, not manual.

⏱ Weeks 4–8
Train, Embed & Sustain

We train data owners, stewards, and analysts on their roles and tools. We document every policy and process. We establish a governance review cadence so standards are maintained after we've left.

⏱ Weeks 6–10
Why Numlytics

Why Choose Numlytics for Data Governance Consulting

We've implemented governance frameworks for enterprises across financial services, manufacturing, SaaS, and professional services. Here's what makes our approach different.

Built for Adoption, Not Just Documentation
We co-design governance with the people who use it daily. Policies are written in plain language. Ownership is assigned to real people with real authority. Frameworks get followed because they were built collaboratively.
Technical + Strategic in One Engagement
We handle both the governance strategy - ownership models, policies, quality standards, and the technical implementation in Purview, dbt, or Unity Catalog. No handoff between strategy and implementation teams.
Visible, Measurable Governance
We build governance dashboards so data quality, ownership coverage, and lineage completeness are visible in real time, not assumptions buried in a document no one reads.
Framework Live in 6–10 Weeks
Strategy consultancies take months. We deliver a working, adopted governance framework with tooling implemented in 6–10 weeks, fast enough to feed into an active analytics transformation programme.
Up to 50% Lower Cost
Certified offshore data governance consultants from India. Same delivery quality as US or UK strategy firms - at up to 50% lower cost, with full timezone overlap throughout the engagement.
Connected to the Broader Data Stack
Governance doesn't exist in isolation. We align your governance framework to your BI layer, data pipelines, and cloud platform, so quality rules, lineage, and access controls work end-to-end.
★★★★★

"We had six business units all reporting 'revenue' differently. Finance, sales, and marketing could never agree in a single meeting. Numlytics ran a governance engagement that defined every metric centrally, assigned data owners to each domain, and implemented the catalogue and quality rules in Microsoft Purview. Within eight weeks we had one version of the truth - and board meetings stopped starting with a 30-minute debate about whose numbers were right."

MP
Michelle P.
Chief Data Officer · Professional Services Group, Australia

Data governance works best as part of a broader data strategy. Here's what clients typically pair with it.

Data Maturity Assessment
Baseline before governance design — know your starting point
→
Analytics Roadmap Design
Governance feeds directly into your analytics strategy
→
BI Strategy Planning
Governance ensures your BI layer is built on trusted data
→
Data Quality Management
Technical implementation of your quality governance rules
→
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FAQ

Data Governance Consulting FAQs

Common questions before starting a data governance engagement with Numlytics.

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Data governance consulting involves designing and implementing a structured framework that defines data ownership, quality standards, lineage tracking, access controls, and data policies. A data governance consultant ensures your data is accurate, trusted, and consistently defined across all business units, so every report, dashboard, and decision is built on reliable data.
Numlytics delivers a core data governance framework design and initial implementation in 6–10 weeks - including stakeholder workshops, ownership model design, quality rule implementation, Microsoft Purview setup, and team training. Ongoing governance maturation typically continues beyond the initial engagement.
Our primary tooling includes Microsoft Purview for cataloguing and lineage, dbt for data quality testing and documentation, Power BI row-level security for access control, and Great Expectations for automated validation. We select tooling based on your existing stack, not a preferred vendor list.
Not necessarily. Microsoft Purview is ideal for organisations on the Microsoft stack, but we also implement governance on Databricks Unity Catalog, Snowflake governance features, Alation, and dbt documentation - depending on your platform. The governance framework principles are always platform-agnostic.
Data management covers the operational practices of collecting, storing, and processing data. Data governance is the framework of policies, ownership, and accountability that ensures data is managed correctly - who owns it, what quality standards apply, who can access it, and how it should be defined. Governance sets the rules; management is the execution. See our data strategy services for the full picture.
Ready to Start?

Build Data Your Whole Organisation Can Actually Trust

Talk to a certified data governance consultant. We'll review your current governance gaps, data quality issues, and ownership structure - then deliver a scoped proposal within 24 hours. Serving enterprises in US, UK, Australia & UAE.

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