Solutions — Data Governance & Operating Model

Data Without Governance
Is Just Expensive Noise.

CALIGO helps organisations make their data trustworthy, traceable, and manageable at scale. We design and implement governance frameworks, data quality controls, and operating models that transform data from a liability into a durable enterprise asset.

Governance Framework Data Quality & Controls Data Catalog & Metadata Data Lineage Data Operating Model Data Maturity Assessment
Talk to a Governance Expert See Case Studies →
The Problem

Organisations Don't Lack Data.
They Lack Trust in It.

Most data-rich organisations have invested heavily in platforms, tools, and analytics capabilities. Yet the questions that matter most — "Is this number right?" and "Where did it come from?" — still can't be answered reliably.

The root cause is almost always the same: data is owned by nobody, quality is measured by nobody, and the rules for how data should be created, maintained, and used were never written down. Governance was treated as a compliance exercise, not an operating model.

CALIGO approaches data governance differently — as a practical discipline that produces measurable outcomes: fewer data incidents, faster regulatory submissions, more reliable analytics, and an organisation that can scale its data capabilities without rebuilding from scratch every few years.

Nobody Owns the Data
Data is produced by IT, consumed by the business, and owned by nobody. When quality issues arise, everyone points at someone else.
Data Quality Issues Surface Too Late
Problems are discovered in reports or regulatory submissions — not at the point of data entry or ingestion where they could be caught and fixed automatically.
No Business Glossary or Common Definitions
Finance says "revenue" means one thing, commercial teams say another. Without shared definitions, every cross-functional report becomes a debate about the numbers.
Lineage Is Institutional Memory
When a key analyst leaves, the organisation loses its understanding of how data flows, where it comes from, and why certain transformations exist. Nothing is documented.
Governance Programmes That Don't Stick
Frameworks are designed, policies are written, tools are purchased — but without an operating model that embeds governance into daily workflows, nothing changes in practice.
Our Approach

Governance That Works
in Practice, Not Just on Paper.

We design governance frameworks that are proportionate to your organisation's size, maturity, and regulatory context — and we build the operating model that makes them sustainable. Governance is not a document. It is a set of working practices.

01
Data Maturity Assessment
We baseline your current data maturity across 8 dimensions — strategy, ownership, quality, architecture, lineage, catalog, culture, and regulatory compliance. Output: a scored maturity profile and a prioritised governance roadmap with clear delivery milestones.
CALIGO Maturity Framework8-Dimension Scoring3–4 Weeks
02
Governance Framework Design
We design a governance framework that is proportionate and implementable — data domains, ownership model, stewardship roles, policy structure, issue management workflow, and escalation paths. Built for your organisation, not copied from a template.
Data Domain ModelOwnership & RACIPolicy Architecture
03
Business Glossary & Catalog
We build and populate a business glossary — agreed definitions for every critical data element — and integrate it with your data catalog tooling. Every dataset, table, and field is catalogued, described, and linked to its business owner.
Business GlossaryData Catalog (Purview / Collibra)Critical Data Elements
04
Data Quality Framework
We instrument data quality rules at source, in pipelines, and at consumption — covering completeness, accuracy, consistency, timeliness, and uniqueness. Breaches are surfaced automatically, routed to owners, and tracked to resolution.
DQ Rules EngineQuality DashboardsIssue Routing & Tracking
05
Data Lineage & Impact Analysis
We document and automate data lineage — from source system to consumption — so every data element has a documented origin, transformation history, and downstream impact map. Audit-ready, change-impact aware.
Automated LineageImpact AnalysisRegulatory Audit Trail
06
Operating Model & Embedment
We stand up the Data Operating Model — governance councils, stewardship communities, meeting cadences, KPI tracking, and tooling — and embed it in the organisation. We can operate it as a managed service until your team is ready to own it independently.
DOM as a ServiceGovernance KPIsChange Management
Data Operating Model — Structure
Governance Layer
Data Council
Domain Owners
Data Stewards
Data Quality Council
Chief Data Office
↓ Policies · Standards · Issue Management · Escalation ↓
Control Layer
Business Glossary
Data Catalog
DQ Rules Engine
Lineage Tracker
Issue Register
↓ Measurement · Reporting · Continuous Improvement ↓
Outcomes
Trusted Data
Audit-Ready Lineage
Faster Compliance
Scalable Analytics
What We Deliver

Six Building Blocks of a
Governed Data Organisation.

Each capability can be delivered independently or as part of a full governance programme. All are designed to be maintained by your team — not dependent on CALIGO forever.

Data Governance Framework
A proportionate, implementable governance framework — data domains, ownership model, policy structure, stewardship roles, and issue management — designed for your organisation's size, regulatory context, and maturity level.
Data domain & ownership model
Governance policy architecture
Stewardship role definitions & RACI
Issue management & escalation workflow
Data Quality & Controls
An automated data quality framework that instruments rules at source, in pipelines, and at consumption — surfacing breaches before they reach reports, routing issues to owners, and tracking resolution to closure.
Critical data element (CDE) identification
Completeness, accuracy & consistency rules
Automated breach detection & alerting
Quality scorecards & trend reporting
Business Glossary & Data Catalog
Agreed definitions for every critical data element — owned, approved, and published across the business. Integrated with your data catalog tooling so every dataset has documented context, ownership, and quality status.
Business glossary design & population
Data catalog implementation (Purview / Collibra)
Dataset documentation & ownership tagging
Search & discovery enablement
Data Lineage & Impact Analysis
Documented, automated data lineage from source to consumption — so every number in every report has a traceable origin. Impact analysis capability so changes to upstream data surfaces downstream consequences before they cause problems.
End-to-end automated lineage mapping
Column-level lineage for regulatory data
Change impact analysis & alerts
Audit trail documentation
Data Operating Model (DOM)
The governance operating model — councils, stewardship communities, meeting cadences, KPI frameworks, and tooling — stood up, embedded, and optionally operated by CALIGO as a managed service until your organisation is ready to take ownership.
Data council & stewardship design
Governance KPI framework
Operating rhythm & reporting cadence
DOM as a Service option
Data Maturity Assessment
A structured, 8-dimension assessment that benchmarks your current data capability — strategy, ownership, quality, architecture, lineage, catalog, culture, and compliance — and produces a scored, prioritised transformation roadmap.
8-dimension maturity scoring
Benchmark against industry peers
Prioritised roadmap with effort estimates
Executive-ready output deck
Use Cases

What Governance Unlocks
in Practice

Governance is not an end in itself — it is the foundation that makes everything else faster, cheaper, and more reliable. These are the outcomes organisations achieve when governance works.

Banking · Regulatory
BCBS 239 Attestation — No Manual Reconciliation
A large bank spent weeks before each regulatory submission manually reconciling risk data. CALIGO implemented a governance framework with automated quality controls and lineage — the next BCBS 239 attestation was signed off without a single manual reconciliation.
Regulatory submission time reduced from 3 weeks to 3 days
Telecom · Commercial
Business Glossary Resolves Cross-Team Revenue Disputes
Finance and commercial teams produced different revenue figures every month — hours of debate in every executive meeting. CALIGO built a shared business glossary and unified revenue data model. One number, agreed by all.
Executive reporting disputes eliminated within 60 days
Insurance · Compliance
Data Lineage for Solvency II Audit
An insurer's auditors requested the full data trail for Solvency II SCR calculations. Without lineage documentation, the response took 6 weeks. After CALIGO implemented automated lineage, the same request was answered in 4 hours.
Audit response time: 6 weeks to 4 hours
Banking · Transformation
Data Maturity Assessment Unlocks CDO Investment
A bank needed to justify a significant data infrastructure investment to its board. CALIGO ran a Data Maturity Assessment — producing a scored baseline, peer benchmark, and prioritised roadmap that secured board approval and CDO mandate within 6 weeks.
Board investment approved based on maturity evidence
Multi-Sector · Operating Model
DOM as a Service — Governance Embedded in 90 Days
An organisation had designed a governance framework but couldn't embed it — no dedicated team, no operating rhythm. CALIGO operated the Data Operating Model as a managed service — running stewardship councils, tracking issues, and reporting KPIs — until the internal team was ready.
Governance embedded in 90 days, internal team self-sufficient in 12 months
Banking · Data Quality
Data Quality Controls Reduce Downstream Rework
A bank's analytics team spent 40% of their time cleaning data before analysis. CALIGO instrumented quality rules at source and in pipelines — catching 94% of issues before they reached the analytical layer, freeing analysts to do analysis.
Analyst data preparation time reduced by 60%
Related Accelerators

Governance Assets That
Reduce Time to Value

CALIGO's pre-built governance frameworks and maturity tools give your programme a head start — tested across 50+ engagements, refined to what actually works in practice.

Framework
Data Maturity Assessment Framework
An 8-dimension structured assessment covering strategy, ownership, quality, architecture, lineage, catalog, culture, and compliance — with scoring, benchmarking, and a prioritised roadmap as outputs. Deliverable in 3–4 weeks.
Learn more
Operating Model
Data Operating Model Framework
A pre-built operating model design covering governance councils, stewardship communities, policy templates, KPI frameworks, meeting cadences, and issue management workflows — ready to configure for your organisation.
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Banking
Banking Data Warehouse Model
Pre-built data domain model with critical data elements (CDEs), ownership assignments, and quality rule templates for retail, corporate, and treasury banking — accelerates glossary and catalog population significantly.
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Case Studies

Governance Delivered.
Outcomes Measured.

All Case Studies →
TelecomData QualityMaster Data Management
Data Quality & Cross-System Hierarchical Consistency
Customer, billing, and GSM relationships were inconsistent across CRM, billing, and charging systems. CALIGO designed a cross-system DQ & Governance framework — resolving 7K+ customer and 250K+ account inconsistencies with 28 automated DQ rules.
7K+
Customer Fixes
250K+
Account Fixes
28
DQ Rules
Read Case Study
InsuranceData PrivacyData Governance
Data Privacy Remediation — Sensitive Data Classification Across 3 Databases
19,000 field classifications generated by an automated tool — 78% were false positives. CALIGO conducted a systematic field-by-field review, validating 4,000 genuinely sensitive fields and restoring access on 15,000 others.
19K→4K
Sensitive Fields
~78%
False Positives
3
Databases
Read Case Study
Ready to Start

Trust in Data Starts
with Ownership of It.

Whether you need a maturity baseline to make the case for investment, a governance framework that your organisation will actually use, or an operating model that embeds data discipline into daily workflows — CALIGO delivers it with the rigour of an engineering firm and the pragmatism of practitioners.

Start with a Data Maturity Assessment See Data Platform & Engineering →