The Rise of Logical Data Management

Chapter 2. Understanding Logical Data Management

Now that we’ve covered some of the challenges with managing data, the imperative is clear: organizations need a strategy that empowers them to wield data with confidence, providing governed, secure, and timely information for business imperatives. Such a strategy must encompass a comprehensive framework, detailing the requisite technology, processes, personnel, and policies to sustainably manage an entity’s informational assets. The strategy should bring to life the organization’s vision for data acquisition, preservation, sharing, and application.

The resulting infrastructure from this strategic blueprint should refine data management at every juncture, ensuring accessibility for all involved parties. The aim is to arm the business with the data it needs to secure a competitive edge and chart a course for success. This endeavor calls for a deep dive into logical data management, a concept that will be defined and explored in the following section.

Defining Logical Data Management

Logical data management is a data management approach based on logical or virtual connections to data. This approach is applied to an organization’s existing data structure to provide more uniform control over security, create a central data marketplace, and unify disparate underlying systems into a common format. It is a transformative approach to data handling, moving beyond the conventional constraints of physical data consolidation and adopting a ...