Data lifecycle management services
                     Data Life Cycle Management Services in the USA
Stages Of Data Lifecycle Management
• Data Creation - The data lifecycle starts with data collection or creation. Data is 
abundantly available everywhere. However, organizations should collect data based 
on its quality and importance to their business. Data can be extracted from mobile 
and web applications, surveys, forms, etc.
• Data Storage - Once the data is created, storing plays another important role as it 
helps to access the data whenever necessary. Data can be stored using different 
mediums like computers, external storage devices, or the cloud. Creating a backup 
for stored data saves the organization during data deletion, corruption, or malware 
attacks.
• Data Processing – For the raw data to be productive, it has to be analyzed, 
processed, and refined further. As a part of the data processing workflow, data is 
validated, filtered, reformatted, analyzed, and presented as usable information.
• Data Distribution - Once the data is analyzed, the next big step is data 
distribution; this enables organizations to define who uses the data and to what 
extent. This is the most crucial step where data delivers its full business value; it 
plays a major role in business decision-making and communication with various 
stakeholders.
• Data Archive - Data archiving is essential to the data management lifecycle. In 
fact, it is the activity during which data is often examined, cleansed, and 
preserved. This process guarantees data security by preserving and making 
information available for future use. Archived data is, in essence, a gold mine.
• Data Deletion -This is the final phase of DLM, where the data is deleted and 
destroyed securely from the records. Too much unrequired data will consume 
storage space and become a burden for the business. Hence the data is deleted 
from archives too when it exceeds the required retention period.
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