Best DATA LIFECYCLE MANAGEMENT SERVICES| Data Ingestion

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Data Life Cycle Management Services in the USA
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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.

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• 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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