Transforming Data Governance

Data Governance improves the quality of business-critical information by providing a unified, trusted view of business data assets. This enables organizations to operate more efficiently and make better decisions.

With over 20 years of experience, Infosys Data Governance practice serves multiple industry verticals including Manufacturing, Retail CPG, Lifesciences, Utilities, etc. Our design thinking-led approach, combined with our Value Realization Model (VRM™) to track delivered value from day one of engagement, underpinned by our proprietary IDEA (Insight, Design, Execute and Achieve) methodology, helps us to undertake and successfully deliver any Global Master Data Program Initiative.

We assist our clients on their data governance journey with our end-to-end services, including:

  • Defining business cases and developing data strategies and roadmaps
  • Conducting data transformation assessment
  • Establishing Data Governance processes and operating models
  • Implementing Data Quality Management
  • Evaluating, implementing, and supporting Master Data Management (MDM) services

Insight on the SAP MDG practice Service offerings

Smart Data Management

Infosys Master Data Management Framework

Our framework encompasses six key components essential for defining a roadmap and ensuring the successful adoption of an Enterprise Master Data Governance solution:

  • Data Governance Strategy – Determining what and how to govern
  • Data Organization and Operating Model – Defining RACI for governing
  • Governance Processes – Establishing workflows and actor responsibilities
  • Definition of Structures and Standards – Outlining principles, definitions and Standard Operating Procedures (SOPs)
  • Data Quality and Maturity – Monitoring, measuring, and reporting on data quality and maturity
  • Systems and Architecture – Assessing systems capability and integration

Infosys Enterprise Data Management Framework

Enterprise Data Management

Leveraging AI and Gen-AI for Data Governance

Recently AI and Gen-AI have revolutionized the way organizations manage their data. By automating tasks, improving data quality and enhancing decision-making, AI has become an indispensable tool for data governance programs. A few key use cases that Infosys is exploring in the area of data governance include:

  • Automated Data Classification and Categorization – automatically classify and categorize data based on content, sensitivity and regulatory requirements to reduce manual effort and ensure consistency
  • Enhancing Data Quality – Detect and correct data inconsistencies, errors and anomalies to improve data quality and reliability for better decision-making
  • Data Discovery and Access – Discover and access relevant data more efficiently for quicker decision-making
  • Improved Data Retention and Deletion – Automating data retention and deletion processes according to defined guidelines
  • Data Security and Compliance – Automatically detect and prevent data breaches and unauthorized access to data
  • Improved Data Governance Decision – Provide insights into data usage patterns, identify trends and predict future requirements to enable organizational decision-making and strategy development

Transform Your Data Governance with Infosys SAP Solutions – Start Your Journey Today.