Data Governance

Establish trust, control, and value in your data ecosystem. Our data governance services help you create the policies, processes, and organizational structures needed to manage your data as a strategic asset.

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Do you know that

50–75%

governance initiatives fail when not linked to clear business outcomes (Info-Tech, 2024)

$12.8M

average annual cost of poor data quality per firm without strong governance (Gartner, 2024)

18%

business-led programs rate their governance as effective at delivering value (Gartner, 2024)

What you can do

Data Governance Strategy

Create a Tailored Framework for Managing Your Data Assets

We help you develop a comprehensive data governance strategy that defines the scope and approach to all data governance efforts. Our approach aligns data governance with your overall business strategy, specific business objectives and organizational culture and as well as with data management and IT strategy.

Data Governance Principles – identify business drivers, vision and mission for Data Governance principles including evaluation of existing governance practices, data quality issues, and organizational readiness
Business Goal Alignment - Connect data governance objectives to specific business outcomes and strategic priorities
Framework Selection - Identify the most appropriate data governance framework based on your industry and requirements

Organization Design - Define structure with clear roles, responsibilities, and decision rights for Data Governance activities
Implementation Roadmap - Develop a phased plan for roll out of asset valuation and defining business glossary, defining policies, procedures and standards, redefining business processes, designing architecture changes, recommending appropriate tools and deliverables to support auditing and regulatory compliance
Success Metrics - Establish KPIs to measure and communicate data governance effectiveness

Data Governance Organization

Build the Right Structure to Support Your Data Governance Program

We design and implement organizational structures that empower people to make decisions about data. Our approach creates clear accountability while fostering collaboration across business and technical teams.

Role Definition - Develop comprehensive descriptions of Data Governance Bodies, Roles and Responsibilities, with particular attention to the Steering Commitee, Governance Council. Data Stewards and Data Owners
Data Governance Operational Model – design an optimal Data Governance Operational Model according to defined data governance strategy and specific organization needs
RACI Development - Build detailed responsibility matrices aligned with established Data Governance Operational Model for key data governance processes

Data Governance Steering Commitee – Establish the highest authority oversighting, supporting and funding all Data Governance activities
Data Governance Council- Establish executive-level oversight to provide strategic direction and support
Data Governance Office – establish central team consist of coordinating roles to develop policies, manage the framework, and facilitate collaboration.
Data Stewardship Teams - Develop a network of business and technical data stewards who maintain data quality and integrity within their specific domains

Data Governance Processes

Implement Practical Workflows for Effective Data Management

We design and implement the essential processes that foster building data driven organization and are aligned with established Data Governance Strategy and Operational Model. Our approach focuses on practical workflows that can be integrated into existing operations without creating unnecessary bureaucracy.

Process Framework - Develop a comprehensive set of data governance processes across the data lifecycle
Data Lifecycle Management – establish processes for managing data throughout its whole lifecycle, from creation to deletion, ensuring its integrity and usability
Data Quality Management - Create workflows for identifying, escalating, and resolving data-related issues
Policy Administration - Establish processes for creating, approving, and maintaining data policies

Data Access Controls - Implement procedures for managing and auditing access to sensitive data
Change Management - Define protocols for handling changes to data models, definitions, and systems
Communication Planning - Develop approaches for sharing governance information across the organization
Continuous Improvement - Establish mechanisms for regular assessment and refinement of data governance processes

Data Governance Technology

Leverage Tools to Scale and Automate Your Governance Program

We help you select, implement, and optimize technology solutions that support your data governance program. Our vendor-neutral approach ensures you get the right tools for your specific needs and environment.

Requirements Analysis - Identify key functional needs based on your governance strategy and processes
Technology Assessment - Evaluate existing tools and potential solutions against your specific requirements
Microsoft Purview Implementation - Set up and configure Microsoft's integrated governance platform
Metadata Management - Implement tools to document data meaning, lineage, and technical attributes

Data Catalog Deployment - Create a searchable inventory of your data assets with business context
Workflow Automation - Configure tools to streamline governance processes and approvals
Integration Planning - Ensure governance tools connect with your broader data management ecosystem

Data Policy Framework

Establish Clear Guidelines for Managing Your Data Assets

We help you develop and implement the essential policies that form the foundation of your governance program. Our approach focuses on creating practical, enforceable policies that align with your business objectives.

Policy Needs Assessment - Identify the specific policies required based on your industry and data usage
Policy Development - Create clear, concise policies for data quality, security, privacy, and retention
Standard Creation - Define detailed standards that support policy implementation across the organization
Procedure Documentation - Develop step-by-step procedures for key governance activities

Policy Communication - Create strategies for effectively sharing and explaining policies to stakeholders
Compliance Monitoring - Establish approaches for tracking and enforcing policy adherence
Maintenance Process - Define methods for regularly reviewing and updating policies as needs evolve

Data Quality Management

Improve the Reliability and Value of Your Data Assets

We help you establish a comprehensive approach to managing data quality across your organization. Our methods ensure your data is fit for its intended uses in operations, decision making, and compliance.

Data Quality Management Framework - Create a structured approach to managing quality across data domains
Data Quality Rules - Define Quality Business Goals and Data Quality Rules for specific data assets
Data Quality Metrics - Establish clear metrics for data accuracy, completeness, consistency, and timeliness

Data Quality Issue Management – Design and Implement processes to detect and prioritize data quality problems
Data Quality Monitoring - Create dashboards and reports to track data quality trends over time
Remediation Planning - Design strategies for systematically improving existing data quality

Business Metadata Management & Self-Service

Document the Meaning and Context of Your Data Assets

We help you implement a comprehensive approach to capturing and managing metadata that documents your data assets. Our methods ensure your organization has a clear understanding of what data exists and what it means.

Metadata Strategy - Develop a structured approach to capturing and maintaining different types of metadata
Develop Metadata Standards - Establish consistent standards for creating, documenting, and organizing metadata
Business Glossary - Create a shared vocabulary of business terms with clear definitions and ownership
Data Catalog - Document technical metadata including data structures, types, and relationships
Data Lineage - Map data flows to show how information moves and transforms across systems

Metadata Tool - Select and configure the right tools to capture and maintain metadata
Metadata enance - Establish clear processes for metadata creation, documenting, updating and deleting.
Metadata Usage Trainings – establish clear guidance how to use metadata management tools
Monitor and Measure Effectiveness: Track the usage of the metadata management system, identify areas for improvement, and ensure the system remains relevant to business needs

Regulatory Compliance

Ensure Your Data Practices Meet Regulatory Requirements

We help you navigate complex regulatory requirements and implement governance practices that ensure compliance. Our approach minimizes risk while enabling the appropriate use of data across your organization.

Regulatory Compliance Assessment - Identify the specific regulations that impact your data management practices
Gap Analysis - Evaluate current data governance practices against regulatory requirements
Policy Alignment - Update or create policies to address specific regulatory mandates

Controls definition De - Definetechnical controls to enforce compliance requirements
Documentation Standards - Establish approaches for maintaining evidence of compliance
Audit Preparation - Create processes to prepare for and respond to regulatory audits

Data Literacy & Culture

Foster a Data-Driven Mindset Across Your Organization

We help you build a culture where data is valued, understood, and properly managed. Our approach focuses on developing the skills and mindsets needed for effective governance across all levels of your organization.

Data Literacy Assessment - Evaluate current ability to read, understand, and use data to drive decisions across different roles
Core competencies - Identify the data and analytics core competencies needed by each role in IT and business user groups.
Training Program - Develop role-based education program to bridge the competencies gaps

Communication Plan - Create strategies for sharing Data Culture information effectively
Champion Network - Establish a network of Data Culture advocates across business units
Executive Engagement - Create strategies to maintain leadership support and involvement

What you’ll achieve

Data Confidence

Build trust in your data through consistent governance practices that ensure quality, security, and compliance throughout your organization.

Regulatory Compliance

Meet legal and regulatory requirements more efficiently with clear policies, documented processes, and trackable evidence of compliance activities.

Operational Efficiency

Reduce time spent searching for, fixing, and reconciling data through improved quality, clearer ownership, and better metadata management.

Decision Advantage

Enhance your decision-making capabilities by providing reliable, well-governed data that supports analytics and business intelligence initiatives.

Related Cababilities

Business Assessment

ESG Strategy & Implementation

Process Optimization & Automation

Connect with our Data Governance Specialist

Ready to establish control and trust in your data? Schedule a consultation with our data governance specialists to discuss your specific challenges and opportunities.