Strategic
Data priorities connect to organisational objectives, transformation, reporting, analytics and AI plans.
Trusted Data. Confident Decisions.
Build a Data Foundation Your Organisation Can Trust
Data supports operational delivery, regulatory reporting, customer service, strategic planning, digital transformation, analytics and artificial intelligence. Inlytics Data Advisory helps organisations establish the strategy, governance, controls, skills and technology foundations required to manage data as a trusted organisational asset.
Data management consulting from strategy to adoption Governance Quality Training
Operating picture
From scattered data issues to one improvement route.
5domains
01GovernanceAccountable
02QualityMeasured
03PrivacyControlled
Improvement routeEvidence to embedded practice
AssessDesignEmbed
Decision-readyClear evidence. Clear next steps.
Trusted data standard
What makes data reliable enough for confident decisions?
Many organisations struggle with incomplete records, inconsistent definitions, unclear ownership, disconnected systems, unreliable reporting and limited confidence in business information. A trusted data foundation makes those issues visible and manageable.
Governed
Ownership, decision rights, policies, standards and escalation routes are clear enough to use.
Reliable
Critical data is profiled, monitored and improved through defined dimensions, rules and controls.
Sustained
People, processes and technology are supported with training, routines and continuous improvement.
Evidence-led consulting
Transform complex data challenges into measurable improvement.
We work with leadership teams, business functions, data professionals and technology teams to turn complex data challenges into practical, measurable and sustainable improvements.
- Data strategy and roadmaps linked to organisational priorities
- Governance, quality and reporting controls teams can evidence
- Capability transfer for leaders, owners, stewards and analysts
The challenges we solve
Start from the organisational problem, not a service label.
Data-management work often starts with a symptom: unreliable data, unclear ownership, inconsistent reporting, disconnected systems, transformation risk or AI readiness concerns. These routes help visitors find the right next step.
Data Quality Management
Unreliable Data
Find the fields, rules and processes causing quality issues before they undermine reporting or operations.
View route →Data GovernanceUnclear Data Ownership
Clarify who decides, stewards, approves and escalates data issues across business functions.
View route →Business Intelligence and Regulatory ReportingInconsistent Reporting
Align definitions, calculations, source data and controls so teams stop debating competing numbers.
View route →Data GovernanceRegulatory and Audit Pressure
The organisation cannot easily demonstrate the origin, quality, ownership and control of data used for regulatory reporting.
View route →Master and Reference Data ManagementDisconnected Systems
Create a route for matching, owning and controlling shared data across platforms and processes.
View route →Metadata and Business GlossaryLimited Data Visibility
Build the catalogue, glossary and ownership view people need to find and understand important data.
View route →Data Readiness AssessmentTransformation Risk
Migration, cloud, analytics or digital transformation work is exposed when the underlying data is not ready.
View route →AI Data ReadinessAI Readiness Concerns
AI adoption needs evidence on quality, privacy, ownership, security, bias, access and responsible use.
View route →Training AcademyLimited Internal Capability
Employees need practical training and support to fulfil data owner, steward, analyst or governance responsibilities.
View route →Our core services
Specialist support across the data management lifecycle.
Services can be delivered as data management consulting, readiness and maturity assessments, focused advisory projects, managed services, fractional leadership or corporate training.
Actionable data plan
Data Strategy and Roadmaps
Turn organisational priorities into a practical data strategy, capability model and sequenced improvement roadmap.
Explore service →Ownership and accountabilityData Governance
Establish clear ownership, decision rights, governance forums, standards and controls for critical organisational data.
Explore service →Confidence in critical dataData Quality Management
Improve confidence in your most important data through profiling, quality rules, controls, remediation and monitoring.
Explore service →Evidence before investmentData Readiness Assessment
Understand whether your data is ready before investing in migration, transformation, cloud, analytics or regulatory change.
Explore service →Capability baselineData Maturity Assessment
Measure current data management capability and define the next stage of improvement with evidence-backed scoring.
Explore service →Responsible AI foundationsAI Data Readiness
Build the trusted data foundation required for responsible AI use cases, controls, monitoring and adoption.
Explore service →Outcomes
Trusted Data. Better Decisions. Sustainable Growth.
We help organisations unlock the value of data through governance frameworks, data quality improvement, readiness assessments, training and practical implementation support.
Trusted data
Critical records have clear definitions, owners, controls and quality rules that people can rely on in daily work.
Confident decisions
Leaders can see the source, meaning and quality of information before committing resources or changing direction.
Sustainable growth
Data practices scale with new teams, services, systems and reporting demands instead of depending on informal fixes.
Audit-ready evidence
Policies, ownership records, issue logs and monitoring outputs create a defensible trail for assurance and review.
AI-ready foundations
Use cases start with suitable, governed and privacy-aware data so automation and AI work from a reliable base.
Capability that lasts
Owners, stewards and analysts understand the routines needed to maintain trusted data after the project ends.
Our approach
A structured route from assessment to sustainable capability.
Each engagement is designed to assess current capability, design proportionate frameworks, deliver practical improvements, embed knowledge and support continuous improvement.
01
Assess
Review the organisation's objectives, current capabilities, evidence, risks, stakeholders and constraints.
02
Design
Develop a proportionate framework, target operating model, controls and roadmap aligned with organisational priorities.
03
Deliver
Work with business and technical teams to implement agreed improvements.
04
Embed
Transfer knowledge, measure adoption and help the organisation sustain new capabilities.
05
Improve
Monitor outcomes, identify lessons and support continuous improvement.
Who we support
Support for public, private, regulated and purpose-led organisations.
We support government and public-sector bodies, financial services, pension schemes, healthcare, utilities, technology, education, charities, professional services and growing organisations.
Government and public sector
Improve the management, quality and responsible use of information supporting policy, operations, reporting and public services.
View sector →Financial services, pensions and insurance
Controlled, traceable and reliable data for customer outcomes, member administration, compliance and regulatory reporting.
View sector →Healthcare and regulated services
Strengthen accountability, information quality and trusted operational and management reporting in high-control environments.
View sector →Education, charities and not-for-profit organisations
Practical data capability, governance and training routes for organisations building sustainable data skills.
View sector →
Training Academy
Build internal data capability that lasts.
Programmes help leaders, data owners, data stewards, analysts, technical teams and wider employees understand their responsibilities and apply effective data management practices.
- Executive Data Leadership for senior decision-makers
- Practitioner routes for governance, quality, SQL and Power BI
- Corporate data literacy for wider workforce capability
Ways to work with us
Choose the engagement route that fits the decision.
For employers and public bodies
Training Academy
Executive briefings, corporate courses, onsite workshops, virtual instructor-led learning, cohort academies and hands-on technical labs for teams managing data well.
Explore trainingFor individual learners
Inlytics Data School
Practical learning routes for people building data analytics, governance, quality, reporting and visualisation skills.
View Data SchoolDecision-maker insight
Your data should support your organisation, not hold it back.
Whether you are improving data quality, developing governance, preparing for AI, strengthening reporting or planning transformation, the first step is to understand the evidence, risks, ownership and practical next actions.
Explore readiness assessmentFeatured resources
Useful guidance before a formal engagement.
Data Readiness Checklist
Questions to test whether priority data is ready before migration, cloud, analytics or transformation work begins.
Data Maturity Self-Assessment
A practical starting point for reviewing leadership, governance, quality, metadata, privacy, reporting and capability.
Data Governance Framework Checklist
A guide to ownership, stewardship, decision rights, council terms, standards, escalation and measures.
Data Owner Role Profile
A template for defining decision authority, responsibilities and expected evidence for accountable data owners.
Data Steward Role Profile
A template for day-to-day stewardship responsibilities, metadata tasks, issue handling and adoption support.
Data Quality Rule Template
A structure for documenting business rules, thresholds, owners, controls, exceptions and monitoring frequency.
Data Quality Issue Log
A log for recording quality issues, severity, root cause, ownership, actions, target dates and status.
Critical Data Element Template
A way to register critical fields, definitions, owners, systems, quality rules, risks and reporting use.
Business Glossary Template
A structure for approved business terms, definitions, synonyms, owners, status and approval workflow.
Data Risk Register
A practical register for recording data risks, impacts, controls, owners, mitigations and review dates.
Data Strategy Planning Workbook
A planning workbook for aligning data objectives, capability gaps, investment choices and roadmap priorities.
AI Data Readiness Checklist
A checklist covering use cases, data suitability, quality, ownership, privacy, security, bias and oversight.
Governance Council Terms of Reference
A starting structure for governance council purpose, membership, authority, cadence, inputs, decisions and records.
Data Quality Dashboard Requirements Template
A template for dashboard objectives, quality indicators, dimensions, thresholds, users and reporting cadence.
Your data should support your organisation
Build the governance, quality, skills and controls required for the future.
Whether you are improving data quality, developing governance, preparing for AI, strengthening reporting or planning transformation, start with a focused discovery conversation.