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Expert DATA LIFECYCLE MANAGEMENT SERVICES| Data processing

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Expert DATA LIFECYCLE MANAGEMENT SERVICES| Data processing

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  1. Three Important Goals of Data Lifecycle Management • Data management can be tricky for businesses at times. Through DLM, they can keep information in formats that are functional and accessible by monitoring and managing the flow of data between systems. • Forbes reports that an enormous amount of data, equivalent to 2.5 quintillion bytes, is being generated daily. Hence, data lifecycle management ensures this through underlying goals that serve as the foundation for streamlined and unhindered data flow. The three objectives of DLM are as follows:

  2.      Data security or confidentiality • With such a large volume and wide range of data usage, the risk of data misuse is always substantial. Because data is the driving force in business, organizations and individuals are concerned about its security. As a result, ensuring data security and confidentiality becomes critical. • Organizations can ensure security through lifecycle management processes, which include data maintenance best practices as one of their core capabilities to ensure strong data protection. • Fundamentally, DLM prevents unauthorized users from accessing data (such as cybercriminals). It also protects data from being corrupted or infected with malware.

  3.   Data availability or accessibility • Data is the foundation of many operations in this digital age, so it must be readily available whenever required. When data is unavailable to the right people when needed, it leads to multiple failures of processes that rely on one another to obtain data. • The availability of unstructured data is critical in data-driven services. As a result, DLM provides cloud solutions that make them available to customers and employees before they need them.

  4.   Data Integrity or reliability • Multi-user computing environments are becoming more ubiquitous as data-centric technologies gain popularity. Multiple users attempting to access the same database simultaneously can result in multiple versions of the same data. • Data lifecycle management updates existing data regularly to avoid redundancy and maintain data integrity. It provides all users with clear and precise data, accelerating the agility and efficiency of business processes. • Data Reliability is crucial in financial transactions to avoid data deletion and data destruction and to share data in a safe and secure environment.

  5. CONTACT US Let’s Get in Touch Know more on how data can transform your business Email: contactus@5datainc.com

  6. THANK YT THANK YOU

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