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Enterprise Data Governance Partner
Data Governance and Operations for AI Ready Enterprises
Build trusted data foundations that power secure AI, analytics, and business decisions
Data governance is the foundation for responsible AI adoption. Netwoven helps organizations design and operate governance frameworks that improve data quality, reduce risk, and prepare data for AI and automation.
Why data governance often fails
Many organizations invest in governance tools but struggle to make them work in daily operations. The real challenge is aligning people, processes, and data usage.
Services
Governance Strategy and Roadmap
Define a clear path for governance maturity
- Governance maturity assessment
- Gap analysis and risk evaluation
- Business aligned governance roadmap
- Stakeholder alignment
Data Discovery and Classification
Understand and categorize your data
- Identify sensitive and critical data
- Deploy classification policies
- Automate labeling
- Improve visibility
Data Protection and Compliance
Protect data and meet regulatory needs
- Data loss prevention implementation
- Access control policies
- Compliance frameworks
- Incident response readiness
Governance Operations and Monitoring
Run governance as an ongoing capability
- Continuous monitoring and alerts
- Governance dashboards
- Audit reporting
- Policy enforcement
Microsoft Purview Implementation
Enable governance with Microsoft tools
- End to end Purview deployment
- Integration with Microsoft 365
- Data lifecycle management
- Governance automation
Data Lifecycle Management
Manage data from creation to deletion
- Retention policies
- Archival strategies
- Legal hold and eDiscovery
- Data cleanup and optimization
Our Methodology
01
Discovery and Assessment
Understand current data landscape, risks, and governance gaps.
02
Governance Framework Design
Define policies, roles, and operating model.
03
Data Discovery and Classification
Identify sensitive and business critical data.
04
Protection and Access Control
Apply security controls and role based access.
05
Monitoring and Operations
Establish continuous monitoring and alerting.
06
Adoption and Optimization
Drive user adoption and refine governance practices.
Client Success Stories
Appointment analytics with Dynamics 365 & Power BI
A healthcare service provider innovates solutions for optimizing appointments and vaccination schedules…
Unified meeting scheduling with Dynamics 365 and Outlook
A semiconductor manufacturing company creates innovative solution for customer meeting and logistics management…
The Netwoven Advantage
We bring deep Microsoft ecosystem expertise, industry context, and a security-first mindset to help organizations unlock measurable value from data.
Microsoft-Centric Data Expertise
Purpose-built architectures on Azure and Microsoft Fabric.
Analytics to AI Continuum
From BI modernization to applied AI.
Governance, Security & Compliance by Design
Trust data without slowing innovation.
Outcome-Driven Delivery
We align data initiatives to business results.
FAQs
What is data governance and why does it matter?
Data governance ensures that data is accurate, secure, and used responsibly across the organization. It helps improve decision making while reducing risk.
How does Netwoven approach governance differently?
Netwoven focuses on practical implementation. Instead of only defining policies, we help embed governance into daily operations so teams can consistently follow them.
Which tools are used for governance?
Netwoven primarily uses Microsoft Purview and other Microsoft security tools to manage data classification, protection, and compliance.
How long does it take to implement governance?
The timeline depends on data complexity and scope. Most organizations start with an assessment and then move through phased implementation.
Can governance support AI initiatives?
Yes. Strong governance ensures that data used for AI is accurate, secure, and compliant, which improves the quality and reliability of AI outcomes.
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