Data Governance and Compliance Framework

We create structured data governance frameworks to apply privacy, quality, and compliance to your enterprise data environment.

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What we provide

We provide a service that builds confidence that data assets are secure, and auditable, and are unencumbered by risks through best practice governance.

Data Governance strategy

Identify governance policies, roles, and ownership to better manage data and lessen risk

Data classification and inventory

Scan and classify data by sensitivity and value to ensure you know what data must be protected and what data is available to users

Privacy and regulatory controls

Embed privacy and local/global regulatory compliance - so your data is private and processed reasonably

Monitoring data quality and integrity

Shedding light to the data accuracy, consistency, and completeness across all systems to workgroups

Access and usage policy enforcement

Establish controls that only authorize these users - only Access to the data they are allowed to see.

Audit, reporting and certification support

Provide dashboards, logs, and paperwork to support compliance of your data with the regulations and standards.

Why Netfosys Data Governance

We build governance programs off global frameworks, making governance complete, compliant and confidence!

Key Services
05
Framework Based Governance
Using frameworks leverages standards like ISO 27001, GDPR principles and CIS good practices for clarity and simplicity
01
Risk Based Governance Model Creation
Using a methodology provides governing initiatives, aligning with your risk exposure and operational, context.
02
Integrated Data & Security Governance
Governance policy aligned with security operations, incident response and data architecture.
03
Governance Models That Scale
Our governance framework accounts for emerging data, teams and business complexity to continuously iterate
04
Process Automation and Tool Support
We recommend standards for automated and tooling levels of classification, continuous monitoring, and workflow for compliance.

Client Value that Counts

1
Confidence with the regulators
Auditing and expectations of regulatory obligation and compliance are managed confidently.
2
Certainty of Efficiency
Consistent standards for data gives reliability towards reducing errors and manual/time.
3
Based on risk and facts
Data governance policy is written to your most sensitive and valued data.
4
Transparency & Reporting Framework
Data, dashboards and logs exhibit data evidence for action and auditing.

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