Data Governance Framework Organizational Enablement
Data & AI
Motivation
Implementing a data governance framework ensures that your organization's data is accurate, consistent, secure, and used responsibly. It supports compliance with regulatory requirements, reduces risks associated with data breaches, and enhances decision-making by effective and efficient use of information. A robust data governance framework also fosters a culture of accountability and transparency, enabling better collaboration and trust across the organization.
What we bring
With over 20 years of experience in software and data architectures for many of the world’s largest enterprises, PRODYNA is well-equipped to help you design and establish a comprehensive data governance framework. Our expertise in the area of Data Governance includes:
- Data Governance Standards: Introduction of processes and tooling that helps you accomplish the goal quickly.
- Data Quality Management: Implementing processes to monitor and improve data quality.
- Metadata Management: Ensuring that data is well-documented and easily accessible.
- Data Security and Privacy: Protecting sensitive data and ensuring compliance with data protection regulations.
- Data Stewardship: Establishing roles and responsibilities for data management.
- Change Management: Facilitating organizational change to support data governance initiatives.
What you need
To successfully implement a data governance framework, your organization will need to provide:
- Current Data Landscape: Information on existing data assets, processes, and systems.
- Actual organizational roles and structure: Details of current organizational structure and relevant roles.
- Stakeholder Engagement: Involvement of key stakeholders across the organization.
What you get
PRODYNA's Data Governance Framework implementation focuses on six essential areas, tailored specifically to your organization's unique needs and existing structures. We work closely with your team throughout the process, ensuring knowledge transfer, smooth implementation, and lasting internal capability. You will receive clearly defined, practical deliverables designed to minimize implementation time, reduce costs, and maximize organizational impact:
Implement Governance Bodies & Roles
- Tailored Governance Bodies & Roles: Organizational integrated data role model with all the necessary data governance bodies and roles adapted to the specific data domains.
- Support & Feedback Channels: Rollout of the designed support and feedback channels to assist and develop the governance organization and employees.
Rollout Communication Model
- Comprehensive Training Program: Complete the training programs for all relevant employees to improve their understanding of how to handle data and support the min implementing the necessary actions and daily tasks.
- Ongoing awareness campaign: Launch of an internal platform for user guides, FAQs, and reference materials. Publication of success stories to improve people engagement.
Deploy Policies, Rulesets & Processes
- Governance Policies: Distribute and enforce governance policies and procedures across the organization.
- Aligned Data Ruleset: Contribute data quality gates and rules that meet the requirements for its intended purposes and the defined quality standards.
- Recurring Audit Process: Establishment of a continuous improvement process throughout the entire organization to identify unresolved issues and sustainably scalability of the measures implemented across the organization.
Quick facts
- Effort: 4-12 weeks depending on the scope
- Data Exchange & Quality: Secure data exchange and guidelines for data usage, ensuring data quality meets defined standards.
- Data Inventory & Technology: Verified data inventory and technological foundation for automated analysis.
- Security & Compliance: Implementing the desired security level with risk mitigation strategies and compliance guidelines.
Benefits
- Scalable Data Management: Use-case-driven data handling that supports organization-wide scaling.
- Sustainable Data Responsibility: Embeds responsible data use into everyday operations.
- Efficient Usage: Enables better organization and utilization of data resources.
- Risk Reduction & Security: Enhances decision-making accuracy and guards against data loss and cyber threats.
Contact us
for more information.
David Wainwright
