big data, big thinking: operational excellence

Big Data, Big Thinking: Operational ExcellenceHow 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


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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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:

Auniquewayofingestingdifferentsourcesofdata(OTLPorOLAP,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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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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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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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 Definehowyouwilloperationalizeinsighttogenerate business value

4 Determine the technology requirements and architecture to achieve the business outcomes.

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Use case in the spotlight: EnergyThe 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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SAP Big Data, Big Thinking webinar seriesCopyright statement – © 2014 SAP SE or an SAP affiliate company. All rights reserved.

Join usYou 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.

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big data, big thinking: operational excellence

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