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Big Data, Big Thinking: 
Operational Excellence 
How do you move beyond the hype of Big Data to deliver its true promise? 
In this webinar, Rahim Bhatia, SAP’s VP of Big Data Applications and Tuomas Korppoo, SAP HANA 
Lead at Accenture, revealed how Big Data is impacting businesses and explored a key use case 
involving an energy customer. 
SAP Big Data, Big Thinking webinar series
SAP Big Data, Big Thinking webinar series 
How is Big Data impacting IT? 
Devices are becoming more and more connected, and so are 
business processes. And as human beings, we’re persistently 
connected via our mobile devices. 
Four aspects of technology are converging: 
1. social networking 
2. pervasive access to mobile devices 
3. cloud delivery 
4. information overload (which creates the “big” context). 
Add to that silos of operational technology (real world) data and 
information technology (business) data, and to extract insight, 
the data must reside on a single platform. 
2
SAP Big Data, Big Thinking webinar series 
Big Data Platform 
powered by SAP HANA? 
SAP HANA has evolved from initially being an in-memory database 
to being a true data management platform for all smart applications 
and analytics. Its capabilities include: 
 A unique way of ingesting different sources of data (OTLP or OLAP, 
structured or unstructured) into its in-memory database 
 Embedded engines for processing including planning, business 
rules, predictive analytics, and geospatial data 
 Purpose-built applications powered by SAP HANA, as well as SAP 
Business Suite and SAP Business Warehouse on HANA. 
> 60% of use cases for this 
platform are non-SAP 
3
SAP Big Data, Big Thinking webinar series 
Key innovation areas 
 Move from batch processing to real time, so the insights and alerts are passed onto people within decision timeframes 
 Anticipate events with predictive analytics (modeling, data mining and other statistical techniques) 
 Turn signals into value by embedding them into ongoing business processes. 
Audience poll results 
21% have a Big Data project underway 
29% have a Big Data project in planning 
50% have no Big Data project in the pipeline at this stage 
4
SAP Big Data, Big Thinking webinar series 
Applications bring Big Data to life 
New or emerging areas addressed 
by SAP 
Build-your-own applications and analytics 
Extensions to existing applications 
Applications are how we turn insights or signals into actionable alerts, and fall into three categories 
5
SAP Big Data, Big Thinking webinar series 
Preparing for your 
Big Data project 
1 Assess whether your organizational culture is ready for data-driven decision making 
2 Identify management’s business priorities and objective and check your data initiatives align to these 
3 Define how you will operationalize insight to generate business value 
4 Determine the technology requirements 
and architecture to achieve the 
business outcomes. 
6
SAP Big Data, Big Thinking webinar series 
Use case in the spotlight: Energy 
The Challenge 
 The organization was looking to transform its business across finance, maintenance and the supply chain. 
 Its traditional information architecture was highly fragmented and unable to meet current business needs, let alone Big Data challenges. 
The Solution 
 A layered scalable architecture was used to 
deploy SAP Business Warehouse to: 
 improve agility 
 allow multi-sourcing of both cloud and on premise 
 enable self-service access to real-time data 
 emphasize flexible content, rather than reporting. 
 Managed data sources enable strict control and governance, while self-service tools and access 
give business users a greater degree of freedom. 
 “Small data” such as transactional and structured data and master data was connected to the 
“big data” from telemetry, logs, exploration, 
drilling and prediction. 
 Embedded, closed-loop analytics inject insights directly into planning and other process functions. 
7
SAP Big Data, Big Thinking webinar series 
Copyright statement – © 2014 SAP SE or an SAP affiliate company. All rights reserved. 
Join us 
You can watch this and previous events on demand, or register 
to attend the remainder of the 
Big Data, Big Thinking webinar series to understand how you 
can get started on your own 
Big Data journey. 
Visit bit.ly/BigDataBigThinking

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Big Data, Big Thinking: Operational Excellence

  • 1. Big Data, Big Thinking: Operational Excellence How do you move beyond the hype of Big Data to deliver its true promise? In this webinar, Rahim Bhatia, SAP’s VP of Big Data Applications and Tuomas Korppoo, SAP HANA Lead at Accenture, revealed how Big Data is impacting businesses and explored a key use case involving an energy customer. SAP Big Data, Big Thinking webinar series
  • 2. SAP Big Data, Big Thinking webinar series How is Big Data impacting IT? Devices are becoming more and more connected, and so are business processes. And as human beings, we’re persistently connected via our mobile devices. Four aspects of technology are converging: 1. social networking 2. pervasive access to mobile devices 3. cloud delivery 4. information overload (which creates the “big” context). Add to that silos of operational technology (real world) data and information technology (business) data, and to extract insight, the data must reside on a single platform. 2
  • 3. SAP Big Data, Big Thinking webinar series Big Data Platform powered by SAP HANA? SAP HANA has evolved from initially being an in-memory database to being a true data management platform for all smart applications and analytics. Its capabilities include:  A unique way of ingesting different sources of data (OTLP or OLAP, structured or unstructured) into its in-memory database  Embedded engines for processing including planning, business rules, predictive analytics, and geospatial data  Purpose-built applications powered by SAP HANA, as well as SAP Business Suite and SAP Business Warehouse on HANA. > 60% of use cases for this platform are non-SAP 3
  • 4. SAP Big Data, Big Thinking webinar series Key innovation areas  Move from batch processing to real time, so the insights and alerts are passed onto people within decision timeframes  Anticipate events with predictive analytics (modeling, data mining and other statistical techniques)  Turn signals into value by embedding them into ongoing business processes. Audience poll results 21% have a Big Data project underway 29% have a Big Data project in planning 50% have no Big Data project in the pipeline at this stage 4
  • 5. SAP Big Data, Big Thinking webinar series Applications bring Big Data to life New or emerging areas addressed by SAP Build-your-own applications and analytics Extensions to existing applications Applications are how we turn insights or signals into actionable alerts, and fall into three categories 5
  • 6. SAP Big Data, Big Thinking webinar series Preparing for your Big Data project 1 Assess whether your organizational culture is ready for data-driven decision making 2 Identify management’s business priorities and objective and check your data initiatives align to these 3 Define how you will operationalize insight to generate business value 4 Determine the technology requirements and architecture to achieve the business outcomes. 6
  • 7. SAP Big Data, Big Thinking webinar series Use case in the spotlight: Energy The Challenge  The organization was looking to transform its business across finance, maintenance and the supply chain.  Its traditional information architecture was highly fragmented and unable to meet current business needs, let alone Big Data challenges. The Solution  A layered scalable architecture was used to deploy SAP Business Warehouse to:  improve agility  allow multi-sourcing of both cloud and on premise  enable self-service access to real-time data  emphasize flexible content, rather than reporting.  Managed data sources enable strict control and governance, while self-service tools and access give business users a greater degree of freedom.  “Small data” such as transactional and structured data and master data was connected to the “big data” from telemetry, logs, exploration, drilling and prediction.  Embedded, closed-loop analytics inject insights directly into planning and other process functions. 7
  • 8. SAP Big Data, Big Thinking webinar series Copyright statement – © 2014 SAP SE or an SAP affiliate company. All rights reserved. Join us You can watch this and previous events on demand, or register to attend the remainder of the Big Data, Big Thinking webinar series to understand how you can get started on your own Big Data journey. Visit bit.ly/BigDataBigThinking