Governance that ensures quality and compliance
Policies, processes and tools to ensure quality, security, privacy and compliance of corporate data according to LGPD and other regulations.
Overview
Data governance is essential for any organization that wants to trust its data. We implement policies, processes and tools that ensure data quality, security and compliance, creating a trustworthy foundation for analytics and AI.
Services
Data quality management
Validation and monitoring frameworks that ensure data accuracy, completeness, consistency, and timeliness.
Data catalog & metadata
Automated dataset cataloging with technical and business metadata to facilitate discovery and understanding.
Data lineage
Complete traceability from data origin to destination, enabling auditing and change impact analysis.
LGPD & compliance
Implementation of technical and procedural controls for compliance with LGPD, GDPR, and sector regulations.
Data security & privacy
Access policies, masking, encryption, and anonymization for the protection of sensitive and personal data.
Master data management
Centralized management of master data (customers, products, suppliers) to eliminate duplications and inconsistencies.
Where we operate
Where we operate with Data Governance
LGPD implementation
Complete LGPD compliance implementation: personal data mapping, legal bases, consent, and data subject rights.
Data quality program
Continuous data quality improvement programs with metrics, SLAs, and automated remediation processes.
Regulatory compliance
Compliance with sector regulations (BACEN, ANS, ANVISA) with automated controls and audit reports.
Data stewardship
Structuring data steward roles and responsibilities with supporting processes and tools.
Merger & acquisition
Data due diligence in M&A processes: quality assessment, gaps, and compliance risks of data assets.
Data literacy
Training programs that elevate the organization's analytical maturity and create a data-driven culture.
How we work
Maturity Assessment
Assessment of current data governance maturity using recognized frameworks (DAMA DMBOK, DCAM).
Framework & Policies
Definition of governance framework, policies, roles, and responsibilities aligned with the company context.
Technical Implementation
Deployment of cataloging, quality, lineage, and access control tools integrated with the data platform.
Operationalization
Activation of governance processes with steward training and integration into teams' daily routines.
Continuous Improvement
Monitoring of governance metrics, policy evolution, and gradual expansion to new data domains.
Maturity Assessment
Assessment of current data governance maturity using recognized frameworks (DAMA DMBOK, DCAM).
Framework & Policies
Definition of governance framework, policies, roles, and responsibilities aligned with the company context.
Technical Implementation
Deployment of cataloging, quality, lineage, and access control tools integrated with the data platform.
Operationalization
Activation of governance processes with steward training and integration into teams' daily routines.
Continuous Improvement
Monitoring of governance metrics, policy evolution, and gradual expansion to new data domains.
Other solutions
Data Analytics
Exploratory and advanced analysis that uncovers patterns, trends and insights to drive strategic and operational decisions.
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Data Engineering
Robust data pipelines for ingestion, transformation and availability of reliable data at scale with monitoring and governance.
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Data Platforms
Modern data platform architecture with Data Mesh, Data Lake, Data Warehouse and real-time processing for advanced analytics and AI.
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Data Lakes & warehouses
Scalable storage architecture that centralizes structured and unstructured data for analysis, reporting and artificial intelligence.
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Business Intelligence
Interactive dashboards and automated reports that provide clear and updated operational and strategic visibility for decision-making.
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