In our previous discussions on Application Data Management (ADM), we covered various topics related to managing and organizing data within an organization’s systems. Today, we will delve deeper into the relationship between ADM and the data center.
Throughout a typical business day, different individuals within an organization will be responsible for updating and managing various components of application data. Depending on their role and level of authorization, they may be responsible for updating, accepting, or submitting data for confirmation to a data steward.
These updates occur at varying paces and with varying levels of specificity and efficiency. As these changes are made, the shared data is quickly reflected across all applications. ADM performs similar functions as Master Data Management (MDM), but it is ultimately a different approach. The key linking factor for all of these data management functions is the data center.
The data center plays a critical role in data governance, information quality and innovation, as well as workflows such as approvals and iterative processes. It is responsible for tracking how data changes over time and providing explanations for traceability, lineage, and audibility.
Unfortunately, the burden of integration and the need to cobble together multiple software and services have previously hindered the ability to use a data center strategy effectively. However, recent advancements in artificial intelligence (AI) and machine learning (ML) technologies have provided the “last mile” of automation and connection necessary to make data center management feasible.
This last layer of “intelligent” data center management includes AI and ML capabilities, which lead to an intuitive, user-friendly interface that makes data processes easily consumable for staff throughout the organization. Properly implemented ADM can make a significant impact when managed from the correct application to the right individual at the ideal time.
If you need assistance with ADM-specific operations or projects, such as providing insight into application performance status and visibility or performing application security testing (AST), consider contacting E-SPIN. Our services can help you gain a detailed understanding of infrastructure, system, and application component downtime and early warning to have a critical impact on your application service level agreement (SLA). This information can be used to improve your ADM for business and operational decision making and optimize ADM performance. Similarly, our AST services can help you identify vulnerabilities and security issues to ensure compliance with the latest regulatory requirements.