Why Your Business Needs Data Governance?

Implementing a data governance program will ensure that your business has access to quality and trustworthy data, and that your users understand the availability, location, and usage of this data. Established data governance processes also ensure a quick response when data is required for analytics and reporting across the enterprise.

Data Quality

Increase trust in your data by establishing data quality standards and processes, such as an inventory of data quality rules, set thresholds for data quality metrics, regular metric reviews, and a defined process for resolving data quality issues through root cause analysis.

Data Security

Protect your organization’s valuable data assets by defining security sensitivity levels, rules for sensitive data and regulatory compliance, user roles, and policies for data exchange between systems, vendors, partners, and employees.

Transparency and Change Management

Provide clarity across the organization with documented data processes and procedures, a complete inventory of databases, tables, and columns, assigned data subject area owners and stewards, and defined data lineage for operational data integrations and ETL.

Customized “Right Fit” Approach to Data

Governance Every organization has unique data governance needs. We provide a custom “right fit” approach to data governance that is tailored to each client’s specific requirements.

Our philosophy for creating and maintaining a successful data governance program includes:

Practical, Maintainable, and Proportional

A successful data governance program should be realistic and align with a company’s needs, size, urgency, maturity, and capabilities. It should be designed to scale as necessary and be integrated into everyday operations.

Data Governance as an Ongoing

Investment Data governance should not be a one-time project but rather an ongoing investment in your organization. Our approach balances the need for just enough governance with the ability to grow as more people take on data governance responsibilities.

Data Governance as More Than a Tool

Before investing in data governance technology, we focus on getting the right people and processes in place. We also help clients utilize existing technologies with data governance capabilities. If necessary, we will evaluate which data governance tool is the best fit for your organization’s needs.

Our Data Governance Services

Whether you’re starting from scratch or enhancing your existing data governance program, we’ll work with you to make your data and analytics more accessible, trustworthy, and actionable.

Data Governance Evaluation

We’ll evaluate your data governance program and provide a detailed plan for improvement. Our evaluation includes a prioritization plan and timeline to help you quickly see value.

Data Governance Program Development

We’ll help you establish a comprehensive data governance program customized to your business environment and goals. This includes creating a data glossary, dictionary, and catalog, security policies, and documenting all data governance processes. If desired, we’ll also establish a steering committee and define necessary roles and responsibilities.

Data Governance and User Adoption

Our data governance recommendations are mindful of business user time investments and come with a realistic phased timeline. We provide support to gain top-level buy-in and demonstrate the value of data governance to your organization. Our change management approach emphasizes data literacy, orientation, and training to shift your culture towards embracing governance.

Data Quality Metrics and KPIs

Ensure that your data governance efforts result in high-quality data used for strategic decisions by establishing metrics to benchmark the relevance and usefulness of your data. 


Module 01: Introduction to Data Governance

  • Gain an understanding of the basics of data governance (DG): its processes and technologies
  • Learn about the importance of DG and how to present its benefits to management

Module 02: Applying DG Principles

  • Study case examples of customer data management and participate in group discussions to apply DG concepts to real-life scenarios

Module 03: Crafting the DG Project Vision

  • Develop a clear project vision for implementing DG within your organization

Who should attend:

  • Chief Data Officers, Chief Information Officers, IT and BI leaders, anyone involved in implementing data governance
  • Business Data Stewards, members of the future data governance project team
  • Information management professionals looking to expand their knowledge in this growing field
  • Chief Operations Officer, if DG is within your area of responsibility

Program Outline

Module 1: Fundamentals of Information Management

  • Overview of information management field
  • Data modeling and metadata management
  • Content management and enterprise information management
  • Data quality and data governance
  • Data integration, data warehousing, master data management
  • Business intelligence, business analytics, performance management
  • Data mining and predictive analytics

Module 2: Fundamentals of Data Governance

  • Prerequisites for a DG program
  • Implementation basics, goal setting, and data selection
  • Standards, policies, processes, roles, and technology
  • Project management and measurement
  • Data governance for emerging technologies like big data and cloud applications

Module 3: Fundamentals of Data Stewardship

  • Overview of data stewardship: roles, responsibilities, and competencies
  • Implementation details and success factors

Module 4: Deploying and Maintaining a DG Program

  • Overview of DG program deployment approaches
  • Project initiation, deployment team creation, and assessment
  • Program development, organizational structure, and detailed roadmap
  • Challenges and solutions for sustainable DG and change management
  • Case studies of successful and unsuccessful DG programs

Module 5: DG Performance Management and Evaluation

  • Linking DG to financial performance and business value
  • DG maturity assessment models and scorecards
  • Performance metrics and evaluation

Module 6: DG Technologies and Rethinking Practices

  • Importance of technology in DG
  • Key elements of a DG system
  • Rethinking DG practices and challenges.