What does that look like in practice? Today, 5 billion consumers interact with data daily. By 2025, that number will be 6 billion – 75 percent of the world’s population. Estimates suggest that each connected person will have at least one data interaction every 18 seconds.
The amount of data is growing, but so too are the types of data companies are handling. Data streams contain everything from financial information and inventory figures to unstructured data sourced from social media and the Internet of Things (IoT).
All of this data in its varied forms must be:
Achieving these is the mission of enterprise data management. But as the face of data grows and shifts, so too will data management requirements.
What Is Enterprise Data Management?
Enterprise data management describes a business’s capacity to do the following:
Integrate data into decision-making
Distribute data from several streams
Transfer data between partners, subsidiaries, and applications
Effective enterprise data management is not an easy task. It takes a comprehensive understanding of your organization’s data and an intelligent, proactive, agile management strategy.
Components of enterprise data management – Modern-day enterprise data center management requirements demand organizations to tackle the following critical elements:
Data integration – Successful enterprise data integration sees organizations move and consolidate varied data into one, central, accessible place. Data integration ensures all the disparate forms of data are not just accessible but also useful. Data integration may involve virtualization, propagation, and consolidation.
Data governance – Data governance includes the processes and policies in place that ensure the security, quality, and integrity of data. In the face of a swelling tide of data, enterprises’ responsibility to safeguard this data becomes increasingly important. Governance encompasses the guidelines relating to policy enforcement, authority, and obligation.
Data security – Data security relates to the measures in place designed to protect data at all points of its lifecycle, including both in transit and at rest. Data security strategies protect against theft, leaks, and breaches, as well as maintain integrity and minimize the risk of corruption.
Meet Enterprise Data Management Requirements with a Future-Proof Strategy
With the above components accounted for, you can craft a future-proof enterprise data management approach that meets your requirements today – and in tomorrow’s data-rich world.