Explosive Data Growth

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Explosive Data Growth How to Handle the Risks
and Opportunities

• David Bregman
• Director
• November 7, 2006

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Data Growth

• Increase in digital data growth 60-80 per year
• There is no more safe bet in the industry
  (technology) that you will need more storage next
  year - Jonathan Schwartz, President Sun
  Microsystems, WSJ 11/05
• Decrease in unit cost of storage devices of
  20-30 per year is not keeping pace with growth
• The combined revenues of the two largest
  storage-specialty companies EMC and Network
  Appliancegrew by 26 in their latest four
  quarters. By comparison, the two biggest
  broadline computer companies, IBM and HP, had
  combined revenue gains of 6 - WSJ 11/05

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Competing Priorities for IT
User Satisfaction
User Satisfaction Internal service levels
throughout the organization always have room
for improvement Risk Reducing the risk of
failure with scalable solutions that optimize
processes and minimize the amount of human
intervention necessary Costs Need to be managed
and lowered to meet needs of the business
Operational Complexities
Audit and compliance
Storage
Business Demands
Risk
Cost
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Increasing Operating Complexity

• Increasing complexity to operate enterprise
  storage environments
• Natural data growth
• Corporate mergers
• Interconnected componentry
• Business and data compliance and regulation
• Increasing heterogeneity of technologies in the
  data center
• Storage vendor consolidation, new technologies,
  and quickly evolving product strategies

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Low Utilization

• Glasshouse is observing utilization rates of 5
  to 17
• Utilization rates of 60 or higher are attainable
• Good utilizationis 70-90 (Gartner August 24
  2005)
• Storage device utilization measurements vary by
  company and by industry, but it is generally the
  ratio of data stored to disk space
• Utilization is impacted by poor process maturity
  and a lack of good management tools

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Where does all the storage go?

• Physical Raw storage capacity
• Procurement view
• Logical Storage capacity available after
  applying data protection policies
• Storage architect view
• Allocated Storage consigned to users
• Storage administrator view
• Claimed - Storage assigned to servers
• System administrator view
• Assigned Storage mounted by servers
• Application owner view
• Written - of storage actually containing data

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Escalating Costs
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Data vs. Information

• Data is the domain of storage device intelligence
  - placement, movement, and protection
• Information is the business asset - available
  through applications
• A vast quantity of data is stored in virtual
  warehouses without preexisting manifests,
  creating a challenge to address compliance and
  regulatory requirements
• Compliance deals with information rather than
  data new opportunities exist for products and
  services on the storage side to integrate
  information

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Data Protection - More

• Its all about disk based backups now
• The speed arguments
• The dollars
• The implications
• Virtual Tape
• Disaster Recovery
• Cheaper
• Faster
• More full functioned
• Archiving and Compliance

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Shifting Focus to Process Efficiency
Focus on Functionality Speeds and Feeds
Focus on Manageability

• Future focus for innovation is management
  processes
• Unravel the complexity and articulate the real
  business issues
• Manage the supply chain of data
• Translate compliance issues into actionable tasks
• Implement controls, policies, and procedures
• New tools will support process efficiency and
  simplicity

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Storage Security

• 54 of storage managers have no documented
  security procedures
• 70 of IT executives rated their storage security
  as fair to poor
• 80 of shops do not encrypt their backups
• 61 of IT executives believe external threats are
  greater despite the fact that internal users have
  greater access

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Data Value Model

• The Data Value Model (DVM) is an approach to
  align management of data with its actual business
  value to the organization
• Valuing data is a foundation for the development
  of the Service Provider Model (SPM)
• Business alignment challenge
• IT understands cost (X-axis)
• Business understands value (Y-axis)
• Cannot succeed without both

High
Medium
Value at Risk
Low



Total Cost of Ownership (TCO)
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IT Infrastructure Goals

• IT infrastructure organizations becoming more
  business focused
• Technology no longer viewed as the solution for
  all IT problems
• Internal and external forces demand a
  re-evaluation of organizational maturity

• Successful organizations are focusing on
• Offering services in conjunction with overall
  organizational maturity
• Establishing standard services and technology
  implementations
• Developing mature practices including policies,
  processes, and organization structure
• Implementing effective metrics and reporting

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A Service Provider Model

• Service
• A service focus separates the what from the
  how of service delivery
• A service level agreement between IT and users of
  technology provides a pragmatic basis for
  alignment of IT capabilities with business
  objectives
• Standards
• Standard services and technical architecture
• A stratification of service offerings allows
  different service level requirements to be
  satisfied at appropriate cost levels
• Practices
• Management practices are the processes, policies,
  and organizational model used to deliver
  services
• As processes mature, they become repeatable,
  documented, measured, and finally have continuous
  review for improvement
• Metrics
• External and internal metrics define the progress
  of the service model
• A complete cost model is critical to
  understanding the true cost of service delivery

Service
Metrics
Standards
Practices
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Transitioning to the Service Provider Model

• The Storage Transformation Framework is a
  methodology for the assessment, design,
  acquisition, deployment, migration to, and
  operation of enterprise class storage
• You can create a framework that correlates with
  key industry standards such as ITIL and COBIT.

Data Value Model (DVM) Transition Foundation
ServiceProviderModel(SPM) Low
TCO HighSatisfaction
CurrentState High TCO LowSatisfaction
Storage Management Lifecycle (SML) Transition
Activities
Storage Maturity Model (SMM) Transition Phases
Continuous Alignment and Control
Key Performance Indicators
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Storage Management Lifecycle Domains

• Strategy Planning
• Strategy (Business Requirements)
• Policies
• Discovery
• Technical Requirements

• Provisioning
• Purchasing
• Change Control
• Activation
• Service Acceptance

• Operations Maintenance
• Service Delivery
• Infrastructure Management
• Service Support
• Compliance

• Customer Care
• Service Requirement
• Service Fulfillment
• Service Quality

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Storage Maturity Model
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The Typical Approach
Custom Services
3
Strategic Services
Managed Services
2
4
Disruption
1
Implementation
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Questions?

• Thank you!
• David Bregman, dbregman_at_glasshouse.com