Strategy session 5 - unlocking the data dividend - andy steer
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The document discusses how businesses can leverage analytics to tap into the £53 billion data dividend in the UK, emphasizing the importance of diverse data sources and modern technologies. It highlights the integration of various data management and business intelligence tools, particularly SAP's offerings, to enhance decision-making processes. Additionally, it encourages organizations to embrace advanced analytics for better insights and increased data utilization across all levels of the workforce.
![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@](https://image.slidesharecdn.com/strategy-session5-unlockingthedatadividend-andysteer-150615121645-lva1-app6891/85/Strategy-session-5-unlocking-the-data-dividend-andy-steer-12-320.jpg)
![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](https://image.slidesharecdn.com/strategy-session5-unlockingthedatadividend-andysteer-150615121645-lva1-app6891/85/Strategy-session-5-unlocking-the-data-dividend-andy-steer-23-320.jpg)
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 [email protected] @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 [email protected] @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 [email protected] @andysteer Thanks for listening Please fill in your feedback forms £53 billion