01
Framework & operating model
Roles, ownership and decision rights that fit your organisation — data owners and stewards, short policies and a lightweight council that actually meets.
Quality, security & compliance
Data you can trust.
And prove it.
Practical, right-sized governance: clear ownership, measurable data quality, the right access for the right people, and evidence for GDPR and KVKK audits — without slowing your teams down.
Trusted data
Ownership
Quality
Catalogue
Lineage
Security
Compliance
Governance problems
rarely look like governance.
Nobody trusts the numbers
Duplicate customers, missing values and conflicting definitions undermine every report.
Nobody owns the data
When something is wrong, no one is accountable for fixing it — so it stays wrong.
Too much access, too little control
Sensitive data ends up in spreadsheets and shared reports, with no record of who sees what.
Audits are a scramble
Regulators ask where personal data lives and who can access it — and the answer takes weeks.
Governance that works
in the real world.
02
Data quality management
Quality rules on the data that matters most, automated checks in your pipelines, and dashboards that show quality improving over time.
03
Catalogue & lineage
A business glossary and data catalogue, so people can find data, understand it and see where it came from before they use it.
04
Access control & data protection
Least-privilege access, row-level security, masking and encryption across your databases and reports — with access reviews that stick.
05
Privacy & regulatory compliance
A personal-data inventory, retention rules and audit trails mapped to GDPR, KVKK, NIS2, DORA and your sector's requirements — in the EU and in Turkey.
06
Power BI & Fabric governance
Workspace strategy, certified semantic models, sensitivity labels and tenant settings that keep self-service safe and auditable.
Governance built into your platform
We start with the controls you already own — SQL Server, PostgreSQL and Oracle security features, Fabric and Power BI administration, Azure policies — before recommending new tools.
Start small.
Scale with confidence.
01 · Assess3–4 weeks
Governance maturity assessment
Interviews, system reviews and data profiling to measure where you stand today and where the real risks are.
What you get
- Maturity scorecard across six governance pillars
- Personal and sensitive data inventory
- Risk-ranked roadmap with quick wins
02 · Build8–12 weeks
Governance foundation
We set up ownership, policies, quality rules and access controls on one priority data domain — proving value before rolling out further.
What you get
- Roles, policies and operating model
- Quality rules and dashboards for a priority domain
- Access model with row-level security and masking
03 · RunMonthly
Governance as a service
We keep governance alive: quality monitoring, access reviews, audit support and onboarding of new data domains.
What you get
- Monthly data quality and access reports
- Support with audits and regulator requests
- Steward coaching and domain rollout
Experienced in regulated industries
We work with clients in banking, finance, healthcare and pharmaceuticals, where security and auditability are part of daily database operations — not an afterthought.
30+Enterprise clients
10Countries
24/7Global support
- Akbank AGBankingBusiness Intelligence (BI)
- Karaca FinansFinanceDatabase Management (DBA)
- Memorial Hospitals GroupHealthcareData Science
- IQVIAHealth TechnologyDatabase Management (DBA)
- TKILACPharmaceuticalsData Science
Frequently asked questions
Where should we start with data governance?
With one business problem and one data domain — customer data or financial reporting, for example. A focused start shows value within weeks and builds the case for going further.
Won't governance slow everyone down?
Not if it is right-sized. We automate checks in pipelines, keep policies short and give people self-service access to well-governed data. Good governance makes data easier to use, not harder.
Does this help with GDPR and KVKK?
Yes. We inventory personal data, map who can access it and put retention, masking and audit trails in place — giving you evidence for audits and data-subject requests. We don't replace your legal advisers; we make the technical side provable.
Do we need to buy a governance tool?
Not to get started. A lot can be done with features you already license in SQL Server, Fabric, Power BI and Azure. When a dedicated catalogue or quality tool makes sense, we help you choose one.
How does governance relate to AI projects?
AI is only as good as the data behind it. Ownership, quality and access controls are what make it safe to use your data for AI — and increasingly what regulators expect, for example under the EU AI Act.
Ready to Optimise Your Data Operations?
Let's discuss how we can help you achieve your data management goals