"A recent study completed by IDC examined the economic benefits accrued to organisations that made basic levels of investment in distinct areas of analytics and data management compared with the benefits accrued by organisations that opted for a broader and more diverse set of investments. The conclusion was that the leading organisations expect to capture in excess of $1.5 trillion more in value from their data and analytics initiatives over the next 4 years. This represents a 60% higher data dividend for the leading organisations.
To achieve these benefits organisations need to embrace the changing reality of the new data driven society and make a break from the beliefs and best practices inherent in traditional Business Intelligence programmes.
During the presentation Andy will expand on the data dividend concept, outline the 4 key investment areas that should be getting your attention and perhaps most importantly, explain how your existing SAP BusinessObjects technology can help you take your share of the estimated £53 billion UK data dividend."
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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
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
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