1. Moving beyond Big Data
BAE Systems Detica
April 2013
Stephen Shelton
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2. Adoption of Big Data technology?
Gartner’s Hype Cycle 2012
Big Data
Source: Indeed.com
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3. Emerging challenges for enterprises
Storing and managing Big Data
Avoiding a
new silo
Lack of
experience and
tool immaturity
Organisation
readiness
3
Commercial in Confidence
4. Detica’s information processing architecture
DATA SOURCES
STORAGE & PROCESSING
PRESENTATION & EXPLOITATION
Access and exploitation tools
Big Data
sources
Legacy systems
Traditional
data sources
Filter / pre-processing
Data Refinery
Real time
analytics platform
Big Data
Specialists
Bulk analytics
Fixed and dynamic
reporting
Fast search and
query platform
Search
Batch processing
platform
Online transaction
processing
Enterprise Data Warehouse
Traditional BI analysts
BI tools
Data warehouse
Data marts
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6. Implementation options
Self built
+
-
Vendor driven
Cloud / external
• Expands easily
• Optimal tool
selection
• Faster / simpler
• Integration with
BI estate
• Vendor support
• Good for
experimentation
• Fast stand up time
• Less pressure on
data centre
• Complex set up
and integration
• Beware hidden
icebergs in TCO
• Trade off against
optimised
toolset
• Costs can ‘step’
• Data security and
ownership
• Initial data
movement /
migration
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8. Insurance telematics
DATA SOURCES
STORAGE & PROCESSING
PRESENTATION & EXPLOITATION
Access and exploitation tools
Data Refinery
Big Data
sources
Legacy systems
Traditional
data sources
Filter / pre-processing
Business Users
Real time
analytics platform
Big Data
Specialists
Bulk analytics
Fixed and dynamic
reporting
Fast search and
query platform
Search
Batch processing
platform
Online transaction
processing
Enterprise Data Warehouse
Traditional BI analysts
BI tools
Data warehouse
Data marts
8
10. Social media analysis
DATA SOURCES
STORAGE & PROCESSING
PRESENTATION & EXPLOITATION
Access and exploitation tools
Data Refinery
Big Data
sources
Legacy systems
Filter / pre-processing
Business Users
Real time
analytics platform
Big Data
Specialists
Bulk analytics
Fixed and dynamic
reporting
Fast search and
query platform
Search
Batch processing
platform
Online transaction
processing
Enterprise Data Warehouse
Traditional
data sources
Traditional BI analysts
BI tools
Data warehouse
Data marts
10
12. Asset tracking
DATA SOURCES
STORAGE & PROCESSING
PRESENTATION & EXPLOITATION
Access and exploitation tools
Data Refinery
Big Data
sources
Legacy systems
Traditional
data sources
Filter / pre-processing
Business Users
Real time
analytics platform
Big Data
Specialists
Bulk analytics
Fixed and dynamic
reporting
Fast search and
query platform
Search
Batch processing
platform
Online transaction
processing
Enterprise Data Warehouse
Traditional BI analysts
BI tools
Data warehouse
Data marts
12
13. Skills and capability requirements
Service layers
Detica platform
Cloud providers
Internal build
Decision support and business integration
Big Data self service analytics
Big Data information model and data processing
Big Data application integration and management
Big Data infrastructure
Company Confidential
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16. Closing thoughts
Basic BI disciplines drive successful Big Data adoption
• What are the business objectives
• Who are the audience / consumers
• What data is available and what are its limits
‘Big Data’ needs to be treated as part of the overall data ecosystem
• Purist definitions of ‘Big Data’ no longer relevant
• One architecture for BI, no silos
Big Data as a Service is a viable alternative to building in-house
• Faster time to value
• More certainty on costs
• Removes skills / resource barrier
Commercial in Confidence
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17. Contact details
If you have any questions regarding this document or
would like to find out more about Detica’s Big Data
platform, please contact:
Stephen Shelton
Head of Data Services
stephen.shelton@BAESystemsDetica.com
ALL RIGHTS RESERVED.
Detica, the Detica logo and/or Detica products referenced herein are trademarks of Detica Limited and may be
registered in certain jurisdictions. Other company names, marks, products, logos and symbols referenced herein
may be the trademarks or registered trademarks of their owners.
Unpublished Work Copyright BAE Systems Detica GCS 2012.
All Rights Reserved. BAE SYSTEMS DETICA GCS PROPRIETARY –
Commercial In Confidence.
Confidential Commercial
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