The 4 Essential Components of Enterprise Data Management
An enterprise’s ability to integrate, administer, secure, and disseminate data from numerous data streams is referred to as Enterprise Data Management, or EDM. This includes the ability to transfer data across partners, subsidiaries, apps, and/or procedures in a precise and secure manner.
Effective enterprise data management is a challenging task that requires a thorough understanding of your data and the implementation of a smart enterprise data management plan.
Interested in learning more? Let’s get into it!
Enterprise data management involves several components, including, but not limited to:
Data Governance
The policies and methods used to assure the integrity, quality, and security of data are referred to as data governance.
Like data stewardship, data governance encompasses policy enforcement, overall responsibility, and governance authority standards.
In a nutshell, data governance determines how, when and by whom an organization’s data regulations are implemented.
Data Integration
Data integration refers to a company’s varied data being moved and consolidated into a single, easily accessible location.
Data integration is a critical component in making all the company’s diverse data forms accessible and usable.
There are many forms of data integration, such as virtualization, propagation, federation and consolidation. Cloud integration is another form of data integration.
Master Data Management
Master Data Management (MDM) requires data integration methods, and often there is some confusion between the two.
MDM refers to the tools and technologies that are used as part of an enterprise data management strategy to help establish master data versions and give a consistent picture of dispersed data.
Essentially, data integration is concerned with the transportation and consolidation of data and making it accessible, whereas MDM is focused on reconciling a company’s data from many sources and making it usable.
Data Security
Any data-related plan must include security as a key component. Data Security refers to the safeguards in place to protect data at all stages of the lifecycle, including data in transit and at rest. This security encompasses not just anti-theft and anti-leaking measures, but also attempts to ensure data integrity and avoid data corruption or destruction.
Data is more important and valuable than ever (from improving the customer experience to helping teams make smart decisions that can impact budget). As more data is collected, stored and repurposed, enterprises need to make the effort to improve their data management practices.
Ready for the Next Step?
Reach out to us today and let us help you define, design, and execute your data strategy: contact@abuiconsulting.com