Post on 24-Apr-2015
description
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Moving beyond Big DataBAE Systems Detica
April 2013
Stephen Shelton
Adoption of Big Data technology?
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Source: Indeed.com
Gartner’s Hype Cycle 2012
Big Data
Emerging challenges for enterprises
3Commercial in Confidence
Storing and managing Big Data
Lack of experience and tool immaturity
Organisation readiness
Avoiding a new silo
Detica’s information processing architecture
4
DATA SOURCES
Big Data sources
Traditional data sources
Legacy systems
Data Refinery
Real time analytics platform
Fast search and query platform
Batch processing platform
Filte
r / p
re-p
roce
ssin
g
Enterprise Data Warehouse
STORAGE & PROCESSING
Bulk analytics
Fixed and dynamic reporting
Search
Online transaction processing
Access and exploitation tools
Traditional BI analysts
BI tools
PRESENTATION & EXPLOITATION
Big Data Specialists
Data warehouse Data marts
5
Key drivers
Commercial in Confidence
Cost Speed to value
Flexibility Integration
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
Insurance telematics
7
Monitoring driver behaviour to calculate risk
Insurance telematics
8
DATA SOURCES
Big Data sources
Traditional data sources
Legacy systems
Data Refinery
Real time analytics platform
Fast search and query platform
Batch processing platform
Filte
r / p
re-p
roce
ssin
g
Enterprise Data Warehouse
STORAGE & PROCESSING
Bulk analytics
Fixed and dynamic reporting
Search
Online transaction processing
Access and exploitation toolsBusiness Users
Traditional BI analysts
BI tools
PRESENTATION & EXPLOITATION
Big Data Specialists
Data warehouse Data marts
Using social media
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Predicting public sentiment
Social media analysis
10
DATA SOURCES
Big Data sources
Traditional data sources
Legacy systems
Data Refinery
Real time analytics platform
Fast search and query platform
Batch processing platform
Filte
r / p
re-p
roce
ssin
g
Enterprise Data Warehouse
STORAGE & PROCESSING
Bulk analytics
Fixed and dynamic reporting
Search
Online transaction processing
Access and exploitation toolsBusiness Users
Traditional BI analysts
BI tools
PRESENTATION & EXPLOITATION
Big Data Specialists
Data warehouse Data marts
Using sensor data
11
Asset tracking and management
Asset tracking
12
DATA SOURCES
Big Data sources
Traditional data sources
Legacy systems
Data Refinery
Real time analytics platform
Fast search and query platform
Batch processing platform
Filte
r / p
re-p
roce
ssin
g
Enterprise Data Warehouse
STORAGE & PROCESSING
Bulk analytics
Fixed and dynamic reporting
Search
Online transaction processing
Access and exploitation toolsBusiness Users
Traditional BI analysts
BI tools
PRESENTATION & EXPLOITATION
Big Data Specialists
Data warehouse Data marts
Skills and capability requirements
Company Confidential 13
Service layersDetica 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
Commercial in Confidence 14
Recent telecoms use case – Detica platform
Recent telecoms use case – Detica platform
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Commercial in Confidence 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
Unpublished Work Copyright BAE Systems Detica GCS 2012. All Rights Reserved. BAE SYSTEMS DETICA GCS PROPRIETARY – Commercial In Confidence.
If you have any questions regarding this document or would like to find out more about Detica’s Big Data platform, please contact:
Stephen SheltonHead of Data Services stephen.shelton@BAESystemsDetica.com
Confidential Commercial 17
Contact details
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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.