Data governance turnkey: roles, policies, and quality control

Data Governance ensures data control: standardization, security, regulatory compliance, and greater trust in data.

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Capital Group
FSK Group
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Tochno
Dogma
Sber City
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Danone
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We build an end-to-end data management system: policies, role management, quality, and lineage. Integration with PIM and BI turns data into an asset, not a headache. If data is an asset, it must be managed. Data Governance eliminates chaos in sources and roles, creating a transparent infrastructure from sales to compliance. Turnkey data governance: roles, policies, and quality control

Unified rules and accountability

We implement a system where every data attribute has an owner, quality criteria, and usage scenarios. No distortions or subjectivity remain - everything is under control.

Continuous quality control

Automatic validation for uniqueness, completeness, and freshness. Errors are filtered out before they reach BI, CRM, or ERP.

Change transparency (data lineage)

Every change is recorded: who changed what and when. This matters for audits, rollbacks, or scaling the architecture.

Compliance and regulatory readiness

A systematic approach simplifies compliance with GDPR, ISO, GDPR, and corporate security requirements. There will be no leaks or fines - data is under control.

Efficiency and growth in one solution

  1. From "everyone has their own numbers" to centralized quality rules and accountability. The solution includes:

  2. We formalize the data ownership model: who is responsible for which attributes, where the source of truth is, and what the update rules are

  3. We implement automatic data checks: duplicates, empty fields, format mismatches, and deviations from standards

  4. We embed Data Governance rules into CRM, ERP, and BI so errors are blocked before they reach analytics or operations. Business results:

  5. The information architecture becomes transparent, controllable, and auditable

  6. Manual data cleansing before report exports is eliminated

  7. Operational risk is reduced, and decision-making becomes more reliable Solutions without unnecessary complexity, from idea and analysis to result

Assess where AI can deliver impact in your process

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We will study your processes and propose a ready-to-use implementation plan

  1. We consult We discuss goals and tasks, define priorities, and set expected outcomes for the joint work

  2. We analyze your processes We study current processes and approaches, identify growth points, and determine which solution will deliver tangible results

  3. We plan the solution rollout We discuss goals and tasks, define priorities, and set expected outcomes for the joint work

  4. Launch and support We implement the solution, train your team and provide support so the solution delivers tangible value

Data Governance by practitioners, not theorists

We implement data ownership rules, quality control, and change auditing. We systematize sources, remove duplicates and errors, and increase trust in the numbers. 2-3 months - building a data governance model 20+ projects in retail and construction with Data Governance 90% reduction in BI and reporting errors 100% readiness for compliance and regulatory checks Client reviews

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