Ravi Varma Namboori - Role of Analytics in enhancing Business Resiliency

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Role of Analytics in enhancing Business
Resiliency
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Data complexity..

• Data is growing at rapid speed and huge volumes
  of data is further fueling the complexity and
  forcing IT to rethink about the traditional back
  up and recovery approaches.
• Data is every where today, in cloud, at network
  edge and in in-house data centers
• Enterprises can no longer meet the operational
  demands with the traditional approaches
• Companies need deeper insights in to the data in
  order to efficiently handle enterprise operations
  related to workloads, client, resources and
  service levels
• Analytics is one more major challenging aspect to
  perform on huge volumes of data

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Analytics..

• Modern day enterprises are leveraging best from
  business data analytics to gain deeper insights
  in to information itself and for better
  understanding of business demands.
• Effective data analytics empowers enterprises
  to proactively
• prioritize the data
• Helps in predicting resource utilization
• For efficient risk mitigation
• Resource Optimization
• Companies can leverage analytics to achieve
  optimized resource utilization which in turn
  reduces the pressure on resources and manage the
  expenses effectively

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Analytics (Continued)..

• Data back up and recovery can be best achieved
  with the outcome of three major types of
  analytics
• Predictive Analytics
• Environmental Analytics
• Retrospective Analytics
• Due to ever growing complexities in data
  management, enterprises need to think beyond
  traditional in-house data center practices to
  manage the data. Backup and recovery of data
  responsibilities need to be accomplished with
  emerging Cloud technologies, Virtualization and
  Mobile platforms.

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Predictive analytics..

• Predictive analytics provides key benefits for
  back-up and recovery practices. This approach
  draws crucial information from historical data
  patterns and helps in prediction of future
  resource needs and identifying probable resource
  conflicts that can occur in future.
• Empowers IT to plan upfront for future needs such
  as additional capacity purchase by which the
  potential resource scarcity issues can be
  eliminated.
• Eases the operational demands of backup and
  recovery
• With better insights, enterprises can leverage
  best from existing back up investment
• Predictive analytics is an effective tool in
  automation with which enterprises can save time,
  money and management efforts

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Environmental analytics.

• Enterprises today need to understand the data and
  the value that it adds to the overall
  organization performance.
• Environmental analysis enables IT to define the
  various data management aspects.
• Enables better managing, back up and data
  transparency
• Supports overall business objectives.

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Retrospective analysis

• Enables IT teams to gain deeper insights in to
  success and health of backup processes,
  optimization areas and resource utilization.
• IT can complete backups tasks on time without
  disruptions
• Better data protection can be achieved with
  Retrospective analysis
• Builds confidence in back-up administrators and
  infrastructure operations team to capably meet
  the service level agreements
• Empowers enterprises to meet the compliance and
  governance policies pertaining to specific
  industry or business vertical

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Thank you