To help you understand DLM, let's look at its five key stages: 1. A well-implemented DLM strategy can help organizations mitigate the risk of unauthorized access to sensitive data and data corruption due to malware and other infections. Therefore, the three main goals of DLM are:ĭLM helps you to establish protocols for data, including how you acquire, access, use and delete data - all with the goals of safeguarding your info and complying with regulationsĪs the amount of data generated by businesses grows exponentially, the importance of managing data effectively and securely becomes increasingly crucial. The purpose of DLM is to guarantee that data is accessible to the appropriate users at the appropriate time.ĭata lifecycle management is designed to provide organizations with three primary objectives: maintain the confidentiality, integrity, and availability of data throughout its lifecycle. It includes stages such as storage, backup, archiving, and disposal and is employed by organizations that manage sensitive, private data subject to regulatory compliance. Let's dive in! Introduction to data lifecycle management (DLM) Definition of DLMĭata Lifecycle Management (DLM) is a policy-based approach of best practices to oversee the flow of an information system's data through its lifecycle, from creation to deletion. This blog post will guide you through the ins and outs of DLM, its key stages, benefits, and the tools and technologies that enable successful implementation. This is where Data Lifecycle Management (DLM) comes in - a comprehensive approach to managing data throughout its lifecycle. But how does one effectively manage this valuable resource? Data has become an essential asset for businesses, driving innovation, improving decision-making, and shaping the future.
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