Data Governance

Introduction

Our philosophy is centred around effective Data Governance (DG.) By properly collecting, storing and managing

information in our clients estates, they get true value from their digital tools and outreach.

Whether we’re tying in security, AI, disparate datasets or simply helping a business optimise its processes,

we take tremendous pride in our ability to simplify and collate complex digital landscapes.

By leveraging the latest technologies and empowering businesses with modern certifications,

we maximise the potential of companies and insulate them against future threats.

Definition

Data governance is the strategic framework and set of practices that ensure the secure, accurate, and ethical management of data within an organization. It establishes clear policies and responsibilities for data handling, ensuring data quality, compliance, and usability across its lifecycle. Effective data governance is critical for driving business value, mitigating risks, and adhering to regulatory requirements.

Key

Objectives

Ensure Data Quality

Maintain data accuracy, completeness, and consistency.

Promote Data Usability

Ensure data is accessible, reliable, and relevant for decision-making.

Facilitate Compliance

Align with legal, regulatory, and industry standards e.g., GDPR, CCPA, HIPAA).

Enhance Data Security

Protect data from breaches, misuse, and unauthorized access.

Define Accountability

Establish roles and responsibilities for managing and safeguarding data.

Core Principles

Accountability

Assign clear ownership of data assets and processes.

Transparency

Document data policies, workflows, and decision-making.

Integrity

Ensure data is trustworthy and free from manipulation.

Compliance

Adhere to regulatory standards and ethical guidelines.

Security

Protect data through robust access controls and monitoring.

Sustainability

Implement practices for ongoing governance and improvement.

Key
Components
of Data
Governance

Data Policies and Standards

Establish rules for data access, storage, sharing, and disposal. Define standards for quality and classification.

Data Stewardship

Appoint data stewards to oversee data assets and ensure alignment with governance policies.

Data Quality Management

Implement relevant processes to monitor, cleanse, and improve data quality continuously.

Data Security and Privacy

Protect sensitive information through encryption, access controls, and compliance with privacy laws.

Metadata Management

Use metadata across all channels to provide context and traceability for data assets.

Data Lifecycle Management

Manage data throughout its total lifecycle, from creation to archiving or deletion.

Regulatory Compliance

Align data practices with global regulations (e.g., GDPR, ISO 27001, HIPAA).

Technology and Tools

Leverage data governance tools for cataloguing, auditing, and monitoring data activities.

International Frameworks relating to Data Governance

ISO 27001

Information Security Management System (ISMS).

NIST Cybersecurity Framework

U.S. guidelines for risk management and control.

General Data Protection Regulation (GDPR)

EU law on data protection and privacy.

Cybersecurity Maturity Model Certification (CMMC)

U.S. framework for defence contractors.

Payment Card Industry Data Security Standard

Safe handling of data in relation to payments.

Cyber Essentials

UK program for basic cybersecurity standards. Globally recognised and adopted by companies looking to improve their cybersecurity posture.

Global Context and Relevance

Data governance frameworks align with several global standards and regulations, including:

By implementing a robust data governance framework, organizations can comply with evolving regulations, foster ethical data use, and support long-term sustainability.

  • General Data Protection Regulation (GDPR):

    EU regulation on data protection and privacy.

  • California Consumer Privacy Act (CCPA):

    U.S. law protecting consumer rights over personal data.

  • ISO/IEC 27001:

    Standards for information security management systems.

  • Data Governance Act (EU):

    EU legislation to foster data sharing and reuse across sectors.

Why Implement Data Governance?

Ensure Data Quality

Access to high-quality, reliable data supports strategic insights.

Enhance Security and Privacy

Access to high-quality, reliable data supports strategic insights.

Achieve Compliance

Access to high-quality, reliable data supports strategic insights.

Drive Innovation

Access to high-quality, reliable data supports strategic insights.

Establish Accountability

Access to high-quality, reliable data supports strategic insights.

Foster Stakeholder Trust

Access to high-quality, reliable data supports strategic insights.

Speak To Our Experts. Call 01182040325 or Request A Quote

Our data sprawl had become completely unmanageable. We had so many tools from so many countries and jurisdictions it was impossible to know where we stood during a client audit. Mindbridge listened to our issues, pulled everything together into one place and managed to get us certified with ISO 9001 at the same time. A rapid change that has completely revolutionised our business outlook.

Sandra – CISO at Indigo

4.8

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