Data & AI Governance Model
How to develop confidence and trust in your data assets?
What is Data and AI Governance Model?
Our Data and AI Governance Model service offering helps you build confidence and trust in your data assets by establishing an enterprise-wide Data Governance Model that addresses data quality, compliance, and security requirements.
We work closely with your organization to define policies, standards, and processes that ensure data integrity, accessibility, and usability. By developing a strong data governance foundation, your organization can confidently leverage data-driven insights to make informed decisions and drive business growth.
- SMEs and large enterprises aiming to establish or improve data governance practices.
- Organizations across industries with data privacy regulations compliance requirements.
- Companies undergoing digital transformation seeking a data-driven culture.
- Organizations facing data breaches, data quality issues, or compliance challenges.
The roadmap development process may follow a top-down or a bottom-up approach depending on the case.
Current State Assessment
Evaluate the organization’s current data governance maturity, infrastructure, processes, and policies to establish a baseline understanding.
Define Governance Goals
Establish clear and measurable data governance objectives aligned with your organization’s strategic goals and compliance requirements.
Design a comprehensive Data Governance Framework that outlines policies, standards, and processes for data quality, compliance, and security.
Define Roles and Responsibilities
Establish clear roles and responsibilities for data stewards and other data governance participants to ensure accountability and effective execution.
Design Data Catalog
Create a centralized inventory of data assets, including metadata, lineage, and ownership information.
Implement Data Quality Management
Develop a plan for monitoring, measuring, and improving data quality across the organization, including metrics and KPIs.