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How Analytics can help you take your share of the
£53 billion
UK data dividend
Andy Steer
itelligence UK Group CTO
andy.steer@itelligencegroup.co.uk
@andysteer
How BusinessObjects powered
analytics can help you take your
share of the
£53 billion
UK data dividend
Andy Steer
itelligence UK Group CTO
andy.steer@itelligencegroup.co.uk
@andysteer
Before We Start
!
Disclaimer
 Views expressed are mine based on my understanding
 I am not an employee of SAP
 Andy Steer
 itelligence UK Group CTO
 Analytics Background
 SAP Ecosystem 15+ Years
 @andysteer on Twitter
Before We Start
A Brief Introduction
Strategy   session 5 - unlocking the data dividend - andy steer
It’s in the Shades and the Tones
Business Intelligence is not a Binary Activity
•Identify
•Harvest
•Prepare
•Store
Data
•Sort
•Filter
•Summarise
•Present
BI
•Finance
•Analysts
•Executives
•Others
People Action
Who Makes Use of Business Intelligence?
Need
Analytics by 2020
75%
Use Analytics
Today
10%
What Type of BI do you have?
The medium is often more important than the content
What Data do you use to Drive Insight?
Core Transactional
Systems
Dusty Data
Dark Data
External Data
Sensor & IoT Data
Strategy   session 5 - unlocking the data dividend - andy steer
Timing is Essential for Successful Outcomes
Diverse
Data
Streams
New
Analytics
More
People
Greater
Data
Dividend
The Data Dividend
Putting it all Together, Greater than the Sum of its Parts
= + + ][ At The
Right Time@
What about SAP & BOBJ?
Bring Together Multiple Data Sources
SAP Enterprise Information Management
Diverse
Data
Streams
Data Integration
Master Data
Management
Information Lifecycle
Management
Content ManagementManage
Govern
Before After
A
B
C
D
Integrate
Cleanse
Harmonize
ManageArchive
Data Quality
Management
Log Files
Media and Other
Files
Hadoop
Multi-structured
Data Sources
1
 Files are stored in their native
format incurring no transformational
costs.
 Built in fault-tolerance.
 Commodity hardware and software
solution makes scale cost effectively.
Collect & Store1
Bring Together Multiple Data Sources
Working with Unstructured Data
Diverse
Data
Streams
SAP HANA
Disk
Structured Data
3
Integrate & Consume3
Enterprise
Portals
On Demand
Services
Mobile
Dashboard/ Report
Data Warehouses
Sybase
IQ
SAP
BW
 Read from / load into Hadoop
 Hive support
 HDFS support via PIG scripts
 Familiar, easy-to-use Data Services UI
 Support and Integration into
enterprise infrastructure
Analyze & Process2
Prepare the data to enable the class
of problems to be solved.
 Problems like searching, counting,
pattern detection lend themselves
well to Map Reduce paradigm
2
MapReduce, is a parallel processing
paradigm where code is sent to data
for instant processing
Bring Together Multiple Data Sources
“SAP leads the market with broad BI innovations.”
Diverse
Data
Streams
The Forrester Wave™: Enterprise Business Intelligence Platforms, Q4 2013” by Boris Evelson, December 18, 2013, Forrester Research, Inc.
“Firms engage with SAP on BI to benefit from one-stop
shopping for data management (ETL, MDM, DW, and DQ), BI
products including the HANA appliance, and SAP’s expertise
with business domain and industry vertical applications based
on its ERP experience.”
“SAP customers particularly praised BusinessObjects’ data
integration, information delivery technical architecture,
analytics, operational capabilities, and SAP’s corporate and
product vision.”
The Forrester Wave™ is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave™ are trademarks of
Forrester Research, Inc. The Forrester Wave™ is a graphical representation of Forrester's call on a market and is plotted
using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor,
product, or service depicted in the Forrester Wave. Information is based on best available resources. Opinions reflect
judgment at the time and are subject to change.
Apply New Analytics and Technology to Create Insights
The Grass is always Greener…
New
Analytics
Apply New Analytics and Technology to Create Insights
New
Analytics
Raw
Data
Cleaned
Data
Standard
Reports
Ad Hoc
Reports
& OLAP
Agile
Visualization
Predictive
Modeling
Optimization
What happened?
Why did it happen?
What will happen?
What is
the best that
could happen?
UserEngagement
Maturity of Analytics Capabilities
Self
Service BI
Generic
Predictive Analysis
CollectiveInsight
Challenge your Capabilities
Apply New Analytics and Technology to Create Insights
Move Beyond the Same Old Reporting
New
Analytics
Agile
Visualization
Advanced
Analytics
Enterprise
Business Intelligence
Instant insight for decision
makers
Agility for the Analysts
Scale and trust for IT and
Management
Apply New Analytics and Technology to Create Insights
Trusted Data Discovery Integrated with the BI Platform
New
Analytics
SAP Lumira server SAP BI 4.1
Integrate SAP Lumira Server into SAP BusinessObjects BI 4.1 landscapes:
Drive Action by Disseminating Insights
Massively Increase Adoption - Take BusinessObjects Mobile
More
People
 Empowering analytics for business users
on trusted, governed infrastructure
 IT only needs to manage one Analytics
Platform globally
 Supports any datasource connectivity
(BW/Bex integration)
 Platform supports Reports, Dashboards,
and Agile Visualizations
Instant Access to the Freshest Data
Reconsider how you Manage your BI Data
At the
Right Time
Problem:
Too slow or dated
Data Smart Solution:
Invest in technology for
instant access to freshest
data
Problem:
Too few people benefiting
from insight
Data Smart Solution:
Drive action by
disseminating insights to
more people in the
organisation
 Executives
 Managers
 Analysts
 Staff
Problem:
Many diverse data
streams, including fast
growing Internet of Things
Data Smart Solution:
Bring together multiple
data sources
Structured data
Socialdata
Unstructured data
Sensors
Problem:
Tools too narrow and
backward looking
Data Smart Solution:
Apply new analytics and
technology to create
insights
Diverse
Data
Streams
New
Analytics
More
People
At The
Right Time+ +[ ]@ = Greater
Data
Dividend
Billion
Potential UK
additional value
of data dividend
projected net benefits
over 4 years
+60%Companies who take all four
steps have the potential to
realise a 60% greater return on
their data assets
£53
The Data Dividend
Putting it all Together, Greater than the Sum of its Parts
Good luck with the
Andy Steer
itelligence UK Group CTO
andy.steer@itelligencegroup.co.uk
@andysteer
Thanks for listening
Please fill in your feedback forms
£53 billion

More Related Content

Strategy session 5 - unlocking the data dividend - andy steer

  • 1. How Analytics can help you take your share of the £53 billion UK data dividend Andy Steer itelligence UK Group CTO andy.steer@itelligencegroup.co.uk @andysteer
  • 2. How BusinessObjects powered analytics can help you take your share of the £53 billion UK data dividend Andy Steer itelligence UK Group CTO andy.steer@itelligencegroup.co.uk @andysteer
  • 3. Before We Start ! Disclaimer  Views expressed are mine based on my understanding  I am not an employee of SAP
  • 4.  Andy Steer  itelligence UK Group CTO  Analytics Background  SAP Ecosystem 15+ Years  @andysteer on Twitter Before We Start A Brief Introduction
  • 6. It’s in the Shades and the Tones Business Intelligence is not a Binary Activity •Identify •Harvest •Prepare •Store Data •Sort •Filter •Summarise •Present BI •Finance •Analysts •Executives •Others People Action
  • 7. Who Makes Use of Business Intelligence? Need Analytics by 2020 75% Use Analytics Today 10%
  • 8. What Type of BI do you have? The medium is often more important than the content
  • 9. What Data do you use to Drive Insight? Core Transactional Systems Dusty Data Dark Data External Data Sensor & IoT Data
  • 11. Timing is Essential for Successful Outcomes
  • 12. Diverse Data Streams New Analytics More People Greater Data Dividend The Data Dividend Putting it all Together, Greater than the Sum of its Parts = + + ][ At The Right Time@
  • 13. What about SAP & BOBJ?
  • 14. Bring Together Multiple Data Sources SAP Enterprise Information Management Diverse Data Streams Data Integration Master Data Management Information Lifecycle Management Content ManagementManage Govern Before After A B C D Integrate Cleanse Harmonize ManageArchive Data Quality Management
  • 15. Log Files Media and Other Files Hadoop Multi-structured Data Sources 1  Files are stored in their native format incurring no transformational costs.  Built in fault-tolerance.  Commodity hardware and software solution makes scale cost effectively. Collect & Store1 Bring Together Multiple Data Sources Working with Unstructured Data Diverse Data Streams SAP HANA Disk Structured Data 3 Integrate & Consume3 Enterprise Portals On Demand Services Mobile Dashboard/ Report Data Warehouses Sybase IQ SAP BW  Read from / load into Hadoop  Hive support  HDFS support via PIG scripts  Familiar, easy-to-use Data Services UI  Support and Integration into enterprise infrastructure Analyze & Process2 Prepare the data to enable the class of problems to be solved.  Problems like searching, counting, pattern detection lend themselves well to Map Reduce paradigm 2 MapReduce, is a parallel processing paradigm where code is sent to data for instant processing
  • 16. Bring Together Multiple Data Sources “SAP leads the market with broad BI innovations.” Diverse Data Streams The Forrester Wave™: Enterprise Business Intelligence Platforms, Q4 2013” by Boris Evelson, December 18, 2013, Forrester Research, Inc. “Firms engage with SAP on BI to benefit from one-stop shopping for data management (ETL, MDM, DW, and DQ), BI products including the HANA appliance, and SAP’s expertise with business domain and industry vertical applications based on its ERP experience.” “SAP customers particularly praised BusinessObjects’ data integration, information delivery technical architecture, analytics, operational capabilities, and SAP’s corporate and product vision.” The Forrester Wave™ is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave™ are trademarks of Forrester Research, Inc. The Forrester Wave™ is a graphical representation of Forrester's call on a market and is plotted using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor, product, or service depicted in the Forrester Wave. Information is based on best available resources. Opinions reflect judgment at the time and are subject to change.
  • 17. Apply New Analytics and Technology to Create Insights The Grass is always Greener… New Analytics
  • 18. Apply New Analytics and Technology to Create Insights New Analytics Raw Data Cleaned Data Standard Reports Ad Hoc Reports & OLAP Agile Visualization Predictive Modeling Optimization What happened? Why did it happen? What will happen? What is the best that could happen? UserEngagement Maturity of Analytics Capabilities Self Service BI Generic Predictive Analysis CollectiveInsight Challenge your Capabilities
  • 19. Apply New Analytics and Technology to Create Insights Move Beyond the Same Old Reporting New Analytics Agile Visualization Advanced Analytics Enterprise Business Intelligence Instant insight for decision makers Agility for the Analysts Scale and trust for IT and Management
  • 20. Apply New Analytics and Technology to Create Insights Trusted Data Discovery Integrated with the BI Platform New Analytics SAP Lumira server SAP BI 4.1 Integrate SAP Lumira Server into SAP BusinessObjects BI 4.1 landscapes:
  • 21. Drive Action by Disseminating Insights Massively Increase Adoption - Take BusinessObjects Mobile More People  Empowering analytics for business users on trusted, governed infrastructure  IT only needs to manage one Analytics Platform globally  Supports any datasource connectivity (BW/Bex integration)  Platform supports Reports, Dashboards, and Agile Visualizations
  • 22. Instant Access to the Freshest Data Reconsider how you Manage your BI Data At the Right Time
  • 23. Problem: Too slow or dated Data Smart Solution: Invest in technology for instant access to freshest data Problem: Too few people benefiting from insight Data Smart Solution: Drive action by disseminating insights to more people in the organisation  Executives  Managers  Analysts  Staff Problem: Many diverse data streams, including fast growing Internet of Things Data Smart Solution: Bring together multiple data sources Structured data Socialdata Unstructured data Sensors Problem: Tools too narrow and backward looking Data Smart Solution: Apply new analytics and technology to create insights Diverse Data Streams New Analytics More People At The Right Time+ +[ ]@ = Greater Data Dividend Billion Potential UK additional value of data dividend projected net benefits over 4 years +60%Companies who take all four steps have the potential to realise a 60% greater return on their data assets £53 The Data Dividend Putting it all Together, Greater than the Sum of its Parts
  • 24. Good luck with the Andy Steer itelligence UK Group CTO andy.steer@itelligencegroup.co.uk @andysteer Thanks for listening Please fill in your feedback forms £53 billion