AG Data Governance

Highly regulated enterprises are drowning in fragmented data, poor data quality, and misaligned policies—making it nearly impossible to scale AI, ensure compliance, or drive trusted insights. As cloud adoption and data volumes surge, the lack of unified governance results in inconsistent data quality, audit failures, and escalating regulatory risk. Without a strong foundation in data integrity and compliance, operational efficiency and decision-making suffer.

Gartner warns that 80% of organizations attempting digital transformation will fail without modern data governance.

IDC projects over 180 zettabytes of data by 2025, yet most remains underutilized due to lack of metadata and governance.

McKinsey links high data maturity to up to 20% EBITDA growth—highlighting governance as a strategic differentiator, not a cost center.

At Aventra Group, we help enterprises turn chaotic data into controlled, trusted assets. Our end-to-end data governance solutions enable intelligent data discovery, policy automation, and AI-ready data quality across your entire hybrid and multi-cloud environment—empowering you to meet compliance, scale AI, and make confident, data-driven decisions.


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Benefits

Accelerate AI and Analytics Initiatives

Trustworthy, well-governed data fuels accurate models and insights—giving your AI programs a competitive edge.

Reduce Regulatory and Compliance Risks

Stay ahead of evolving data privacy laws and industry standards with continuous monitoring and policy-based controls.

Improve Operational Efficiency

Eliminate duplicate data efforts, enhance data reuse, and reduce the time analysts spend searching for usable data.

Boost Stakeholder Confidence

Deliver data-driven decisions with confidence—whether to the board, regulators, or customers—through transparent and auditable governance.

Key Features

01

Unified Data Lineage and Discovery

Map data from source to consumption using Microsoft Purview, Open MetaData, Colibra, AWS Glue and Informatica enabling teams to discover, classify, and understand data across hybrid environments.

02

Automated Policy Enforcement

Apply access and usage policies automatically across business units and platforms, reducing human error while maintaining regulatory compliance.

03

AI-Powered Metadata Management

Use AI to automate metadata enrichment, anomaly detection, and classification—speeding up governance tasks and improving data trustworthiness.

04

Role-Based Access and Data Security Controls

Ensure the right users have the right access at the right time, with fine-grained controls integrated into your identity and access management systems.

Case Study

Data Discovery and Classification

Microsoft Purview facilitates automated discovery, classification, and cataloging of data assets across hybrid and multi-cloud environments. This functionality proves especially valuable for industries like finance and healthcare, where sensitive data, such as personal information or financial records, requires identification and protection.

Regulatory Compliance

Purview aids organizations in ensuring compliance with regulations like GDPR, CCPA, HIPAA, and others by offering tools for managing data access, retention, and privacy policies. This is particularly crucial for industries dealing with regulatory mandates, such as maritime, healthcare, finance, and government.

Data Lineage and Impact Analysis

Purview enables organizations to visualize and comprehend the lineage of their data, illustrating how data moves from source to destination. This capability holds significance for industries like retail and manufacturing, where understanding the consequences of data changes on business processes is essential for decision-making and risk management.

Data Governance and Policy Enforcement

Purview empowers organizations to define and enforce data governance policies throughout their data estate. This encompasses policies related to data quality, access control, and usage governance. Industries such as banking and insurance rely on these capabilities to preserve data integrity and safeguard sensitive information.

Data Collaboration and Knowledge Sharing

Purview provides a centralized platform for collaboration and knowledge sharing among data stakeholders. Business users, data analysts, and data scientists can collaborate on data assets, share insights, and utilize a common business glossary. This proves beneficial for industries undergoing digital transformation, aiming to democratize data access and insights across the organization

Data Security and Risk Management

Purview assists organizations in identifying and mitigating data security risks by offering visibility into data access patterns, vulnerabilities, and threats. This functionality is critical for industries like cybersecurity and defense, where protecting sensitive data from unauthorized access or breaches remains a top priority.

Grow With Better Data Governance

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