As the healthcare sector increasingly leans on data to drive decisions and enhance patient outcomes, the importance of data governance cannot be overstated. Data governance refers to the comprehensive management of data availability, usability, integrity, and security within an organization. In healthcare, these principles ensure that data serves as a reliable, secure foundation for all […]
How do we gain buy-in with enterprise Data Governance and data quality programs and processes when your organization is exercising caution due to past failures? Data Governance has become a critical discipline and important area of focus for organizations to realize operational efficiency and to support business growth.
Many of our customers have grown primarily through mergers and acquisitions to achieve accelerated growth. As a result, the organization quickly faces the prospects of multiple applications and systems that deliver similar functions and store the same data.
Just like most industries, banking and finance have forever changed due to the explosion of big data and the infrastructure required for processing such data.
To progress to a future state of mature Data Governance and analytical capability, decision-makers should focus on starting with the integration of the data across an entire enterprise. A Data Governance program will be critical to support the continued growth of an organization.
Data is at the center of People, Process, and Technology, representing a crucial asset used by all three. Simply put, people should embed data in any project to ensure that organizations follow a defined road map around enterprise data governance; technology can also help enhance and automate several processes and transactions.
Data governance is a challenging topic and directly affects how an organization interacts with its data. Successfully applying a Data Governance strategy requires managing the dynamics of an organization that allows for organizational change.