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- 8 Steps in the Data Life Cycle | HBS Online
Nearly all data projects, however, follow the same basic life cycle from start to finish This life cycle can be split into eight common stages, steps, or phases: Below is a walkthrough of the processes that are typically involved in each of them Access your free e-book today
- What Is Data Lifecycle Management (DLM)? | 2025 Best Practices - SelectHub
Best Practice: Build a data purging strategy and enforce compliance through consistent practice, over-communication and encouragement Additionally, knowledge of the latest industry standards, state and federal regulations and data governance policies is a must as the rules change often
- 10 modern data management best practices: An essential guide
Data lifecycle management ensures that data is managed competently from creation to deletion By organizing it into stages — active use, archiving, and disposal — you can reduce costs and comply with retention policies
- 10 Best Practices for Effective Data Management
By implementing a well-structured data lifecycle management strategy, organizations can strike a balance between retaining valuable historical data and reducing the burden of storing obsolete information, ultimately resulting in enhanced data management capabilities
- Data Management Best Practices - Smithsonian Libraries
These best practices are designed to improve overall management of data at each point in the lifecycle, resulting in published data that are not only easy to care for long after the project is complete, but that are also findable, accessible, interoperable, and reusable
- Data Lifecycle Management: A Complete Guide - Splunk
Data 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 It includes stages such as storage, backup, archiving, and disposal and is employed by organizations that manage sensitive, private data subject to regulatory compliance
- Data Lifecycle Management: Stages, Best Practices, Benefits - Hevo Data
Discover the key stages of Data Lifecycle Management, best practices for governance, and how it ensures secure, compliant, and efficient data handling
- 15 Data Management Best Practices: You Must Follow
Data lifecycle management involves managing data from its inception to disposal in a structured manner This process typically includes data creation, storage, usage, archiving, and deletion
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