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.
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.
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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
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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
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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
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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.
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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.
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