Driving Enterprise Business Transformation with Next-generation Data Management
Viewpoint
15 Dec 2021
by
Mukesh Ranjan, Pravina Jayaraman
Organizations today are increasingly adopting a cloud-first approach that focuses on migrating data and workloads to the cloud to drive business transformation. Four factors drive cloud-enabled business transformation initiatives – digital core transformation, redefinition of customer experience, focus on business outcomes, and change management. Across these aspects, data emerges as a central theme for organizations that aim for sustainable business value. However, to derive value, it is important to manage data effectively across the organization. It is vital for enterprises to carefully think through their data management plans to reduce regulatory risks, build a business continuity plan to prevent revenue losses, and derive high-quality insights to drive decision-making.
There is a need for a next-generation data management platform, which has separate modules to ensure data security and protection against ransomware attacks, carry out data backup and recovery, derive insights enabling the early identification of vulnerabilities or threats, and ease development and testing without impacting enterprise operations.
Having a granular view data management’s technology and services aspects lays a solid foundation for business transformation initiatives. In this report, we explore how enterprises can leverage a next-generation data management platform to tackle data management challenges and drive business transformation.
Scope:
All industries and geographies
Contents:
In this report, we explore:
The elements of business transformation and the importance of data management
Data management challenges that enterprises face
The next-generation data management platform and related services
Enterprises are increasingly leveraging technology to improve operations, evolve business models, and ultimately enhance stakeholder experience. This technology leverage is changing the very way organizations are operating, and, consequently, expecta…