Expert Data Life Cycle Management Services in the USA

1


Goals Of Data Lifecycle Management
                   



2
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

3
     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.

4
  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.

5
  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.

6
CONTACT US
Lets Get in Touch Know more on
how data can transform your business Email cont
actus_at_5datainc.com
7
THANK YT
THANK YOU