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Big Data, Big Thinking: Operationalizing the Buzz How do you move beyond the hype of Big Data to deliver its true promise? In this webinar, John Myers, Research Director, EMA and John Schitka, Solution Marketing SAP, reveal the key insights from EMA’s recent Big Data research program and explore how these can translate into meeting your business imperatives. SAP Big Data, Big Thinking webinar series

Big Data, Big Thinking: Operationalizing the Buzz

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Download your complimentary fact sheet to get an overview of the key talking points of this on-demand webinar, featuring John Myers, Research Director, EMA and John Schitka, Solution Marketing SAP. This webinar reveals the key insights from EMA’s recent Big Data research program and explores how these can translate into meeting your business imperatives. For more information visit: http://www.sapbigdatabigthinking.com/

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Page 1: Big Data, Big Thinking: Operationalizing the Buzz

Big Data, Big Thinking: Operationalizing the BuzzHow do you move beyond the hype of Big Data to deliver its true promise?

In this webinar, John Myers, Research Director, EMA and John Schitka, Solution Marketing SAP, reveal the key insights from EMA’s recent Big Data research program and explore how these can translate into meeting your business imperatives.

SAP Big Data, Big Thinking webinar series

Page 2: Big Data, Big Thinking: Operationalizing the Buzz

As solutions mature and more projects go into production, Big Data is moving from hype to real implementation.

The top three use cases for Big Data are:

Speed of processing (50%)

Combining data structures (41%)

Pre-processing data (36%)

Big Data isn’t always big: 6 – 120 TB is the most common volume, not the petabyte-scale requirements that are the poster children for Big Data.

120 TB

1 PB

Big Data isn’t just a technology thing: 49% of Big Data funding is coming from non-IT budgets.

Hey, big spender! Big Data budgets are typically in the range of £550K - $5m. Four out of ten organizations are assigning up to 20% of overall IT budgets to Big Data initiatives.

IT is still the biggest sponsor of Big Data projects (29%) but Finance (15%), Marketing (14%) and Sales (13%) are a growing source of Big Data funding.

From hype to real implementation

IT Finance Marketing Sales

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Page 3: Big Data, Big Thinking: Operationalizing the Buzz

The top 5 business goals to which organizations are applying Big Data today are:

Solutions are maturing

Big Data is being generated by three major sources:

Machine generated

(38%)

Humans (33%)

Process mediated (29%)Fraud analysis and risk

management

Market analysis and campaign optimization

Customer relationship management

(13%)

(13%)

(12%)

(11%)

(11%)

Workforce scheduling and asset optimization

Billing and operational event processing

SAP Big Data, Big Thinking webinar series3

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Big Data is an ongoing pro-gram – not a one-off projectMost organizations have one or two Big Data projects on the go…

…but 16% have five or more initiatives currently in play.

From idea to reality: while a third of Big Data projects are in the planning stages, a fifth are in pilot and just over a third are already in production.

Line of Business Executives are the biggest users of Big Data insights (28%)

Followed by marketing, business and finance analysts (22%).

Perhaps surprisingly,report writers and dashboard builders (7%)

and application developers (6%) are the lowest users of Big Data results.

Are their internal customers missing out?

Big Data users

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Page 5: Big Data, Big Thinking: Operationalizing the Buzz

Big Data doesn’t deliver big benefits unless it’s applied! Its potential extends to:• Improved financials• Optimized offerings• Customer retention• Optimized supply chain• Higher customer retention• Proactive fraud management • Targeted healthcare

The key technology trends around Big Data are: advances in storage, memory and processing; in-memory computing; complex event processing; Hadoop; data mining and predictive analysis.

Getting value from Big Data

Machine Data Insight (from machines, assets and devices) and Omichannel Data Insight (from high volume and variety data) are today’s biggest platform scenarios.

eBay is working with a massive data set of more than 50 Petabytes to automate signal detection in its marketplace.

Watch on YouTube

What could you achieve for your business?

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Page 6: Big Data, Big Thinking: Operationalizing the Buzz

To enable businesses to operate in real-time, the SAP HANA Platform converges Database, Data Processing and Application Platform capabilities with Predictive, Planning, Text, Spatial, Graph and Business Analytics libraries.

It combines the strengths of different data processing domains:

A complete foundation for your Big Data program

Join usParticipate in this webinar series to understand how you can get started with Big Data. Join our expert speakers as they share their insights and guide you through real-world Big Data examples. For detailed information about the Big Data, Big Thinking webinars and to register, go to bit.ly/BigDataBigThinking

SAP HANA

SAP also has an established, experienced team of Data Scientists with a wealth of industry experience who can help you explore and map out your path to Big Data success.

– enabling organizations to transact and analyze in real-time

SAP IQ – a petascale disk-based columnar database

Hadoop – to store and explore infinite amounts of unstructured data

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