# CrestQA Data-AI

> CrestQA Data-AI is a practitioner-led data governance and data quality consultancy, helping regulated organisations worldwide make their data trustworthy for reporting, regulation and AI. Data you can trust. Decisions you can defend.

We advise Chief Data Officers, data owners and stewards, technology leaders and risk and compliance teams worldwide. Core services are available in English, French, German and Spanish.

## Expertise
- [Data Governance](https://crestqa.co/expertise/data-governance/): Operating models, roles and councils that turn data ownership from an org chart into a working discipline.
- [Data Quality](https://crestqa.co/expertise/data-quality/): Frameworks, rules and scorecards that make data quality measurable, owned and continuously improving.
- [Data Catalogue & Metadata](https://crestqa.co/expertise/data-catalog/): Business glossaries, metadata models and lineage that make data findable, understood and trusted.
- [Policy Management](https://crestqa.co/expertise/policy-management/): Policy, standard and procedure hierarchies mapped to regulation, classification, privacy and retention.
- [Tools & Platforms](https://crestqa.co/expertise/tools/): Vendor-neutral platform selection, implementation, integration and health checks for governance tooling.
- [Stakeholder Engagement](https://crestqa.co/expertise/stakeholder-engagement/): Mapping, briefings, onboarding and champion networks that turn governance from a mandate into a movement.
- [Consulting Services](https://crestqa.co/expertise/consulting-services/): Assessments, roadmaps, programme management and interim data leadership — from first diagnosis to retained advice.

## Industries
- [Banking & Capital Markets](https://crestqa.co/industries/#banking): Supervisors expect banks to evidence the accuracy, completeness and timeliness of risk data — not just assert it. We help banks build governance and lineage that stands up to inspection.
- [Insurance](https://crestqa.co/industries/#insurance): Solvency II requires data used in technical provisions and internal models to be appropriate, complete and accurate. We turn that requirement into practical, auditable controls.
- [Asset Management](https://crestqa.co/industries/#asset-management): Investment data drives performance, client reporting and regulatory disclosure. We help asset managers govern holdings, reference and ESG data as products their teams can trust.
- [Public Sector](https://crestqa.co/industries/#public-sector): Public bodies hold some of the most sensitive data in society and are accountable for how it is used. We help them govern data transparently, lawfully and efficiently.
- [Healthcare & Life Sciences](https://crestqa.co/industries/#healthcare): Clinical and patient data must be accurate, secure and usable for care, research and operations. We help healthcare and life sciences organisations govern it with rigour.
- [Telecoms & Utilities](https://crestqa.co/industries/#telecoms-utilities): Network, asset and customer data underpin service, billing and regulatory returns. We help operators govern high-volume data across complex technology estates.

## Case studies (anonymised)
- [Evidencing BCBS 239 through end-to-end lineage](https://crestqa.co/case-studies/tier-one-bank-bcbs-239-lineage/): Supervisory findings on risk data aggregation were closed by tracing 240 critical data elements from source to the liquidity and credit risk reports.
- [A Solvency II data quality framework the board reads](https://crestqa.co/case-studies/insurer-solvency-ii-data-quality/): A data quality framework and board scorecard aligned to Solvency II data requirements, with root-cause fixes that removed most recurring defects in reserving data.
- [From shelfware to a catalogue analysts rely on](https://crestqa.co/case-studies/asset-manager-catalogue-adoption/): A platform health check and adoption programme revived a stalled catalogue investment and connected it to investment data products.
- [Rationalising data policy across a public body](https://crestqa.co/case-studies/public-sector-policy-rationalisation/): Twenty-seven overlapping data policies were consolidated into a clear hierarchy mapped to national data protection law, with a costed three-year roadmap.

## Insights
- [Why lineage is the fastest route to BCBS 239 evidence](https://crestqa.co/insights/why-lineage-is-the-fastest-route-to-bcbs-239-evidence/): Start with a material risk report and work backwards. Evidence-led lineage connects reported numbers to the controls, decisions and accountable owners behind them.
- [Building a data quality scorecard your board will read](https://crestqa.co/insights/building-a-data-quality-scorecard-your-board-will-read/): A board scorecard should explain exposure and the decisions required, not display every validation rule. Build it around critical outcomes, transparent measures and accountable action.
- [Turning nominated stewards into active ones](https://crestqa.co/insights/turning-nominated-stewards-into-active-ones/): A name in a stewardship register does not create operational ownership. Give stewards bounded decisions, protected capacity and a route for resolving disagreements.
- [Choosing a data catalogue: a vendor-neutral checklist](https://crestqa.co/insights/choosing-a-data-catalogue-a-vendor-neutral-checklist/): Evaluate a catalogue against the work your teams need to complete, using your own metadata and difficult edge cases. A disciplined proof of value is more revealing than a feature comparison.
- [DORA and the data governance function](https://crestqa.co/insights/dora-and-the-data-governance-function/): DORA creates important dependencies on reliable operational information. Data governance should strengthen that evidence without becoming a parallel ICT risk or resilience function.
- [Writing data policies people actually follow](https://crestqa.co/insights/writing-data-policies-people-actually-follow/): Policy becomes effective when a reader can identify the required action, supporting control and route for exceptions. Write for operational decisions, then test the document against real work.

## Company
- [About](https://crestqa.co/about/)
- [Contact](https://crestqa.co/contact/): info@crestqa.co

## Translations
- French: https://crestqa.co/fr/
- German: https://crestqa.co/de/
- Spanish: https://crestqa.co/es/