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Big Data, Big Thinking: Untapped Opportunity Forget the marketing buzz – Big Data is a reality and here to stay. In this webinar, SAP’s Rohit Nagarajan and Suni Verma from Ernst & Young explore Big Data in India, adoption patterns across the globe, and how you can embark on your own Big Data journey. SAP Big Data, Big Thinking webinar series

Big Data, Big Thinking: Untapped Opportunities

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In this webinar factsheet, SAP’s Rohit Nagarajan and Suni Verma from Ernst & Young explore Big Data in India, adoption patterns across the globe, and how you can embark on your own Big Data journey.

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Page 1: Big Data, Big Thinking: Untapped Opportunities

Big Data, Big Thinking: Untapped OpportunityForget the marketing buzz – Big Data is a reality and here to stay. In this webinar, SAP’s Rohit Nagarajan and Suni Verma from Ernst & Young explore Big Data in India, adoption patterns across the globe, and how you can embark on your own Big Data journey.

SAP Big Data, Big Thinking webinar series

Page 2: Big Data, Big Thinking: Untapped Opportunities

SAP Big Data, Big Thinking webinar series

Big Data is advanced analytics applied to significant data sets using modern compute power to deliver sustainable competitive advantage.

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SAP Big Data, Big Thinking webinar series

What’s the big idea?

Big Data has prompted a step-change in how businesses perform analytics.It resolves the age-old trade-off between fast and complex analytics on small data sets and simple, slow reporting on large data sets.

It’s made possible by 3 major advancements:

• Innovation in the data management layer – to store and leverage massive amounts of data in a time- and cost-effective manner

• Innovation at the computing layer – high performance computing to the massive at a fraction of the price it used to cost

• Advanced analytics platforms – that put techniques like predictive modeling in the hands of everyday users

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SAP Big Data, Big Thinking webinar series

Data is the new oil McKinsey has found the average 1,000

employee organization stores at least 200 TB of data.

Big Data is one of only 5 technology game changers that will have a positive impact on the U.S. GDP by 2020. Rarely do IT levers have an impact on GDP like trade, energy and infrastructure (the PC revolution was a notable exception).

An SAP-driven insight solution was purported to be Germany’s “twelfth man” that helped them to victory at the 2014 FIFA World Cup by optimizing player selection and strategy.

But if you’re not interested in the macroeconomy, what about these use cases?

Connected assets

Remote roadside diagnostics

Sports analytics

Customer insight

Cancer diagnosis

Fraud prevention

eBusiness

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What is Big Data insight being used for?

• Managing strategy, e.g. testing hypotheses

• Improving business performance, e.g. strategic cost reduction, supply chain optimization

• Managing risks, e.g. strategic business risk, operational risk, financial risk and regulatory/compliance risks

• Improving technical and operational efficiency, e.g. predictive maintenance

• Customer experience, e.g. performance improvement, fraud and risk management, social media analysis, digital marketing analytics

SAP Big Data, Big Thinking webinar series

Big Data FAQs? How can Big Data help us improve our

business top line and bottom line part from the softer aspects?

? How do we assess we are ready for Big Data implementation?

? How do we approach implementing Big Data in our organization?

? What are the tools and technologies required to enable Big Data?

? What are the various models we can consider for Big Data CAPEX/OPEX?

? What skills are required?

? How will it change over all organization and governance framework of IT?

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Use cases

• DIY Retail – performing complex analytics on inventory, financial performance and customer loyalty, to offer customized promotions in real-time.

• Transportation – sensor data from trucks is used for route optimization and predictive maintenance, and integrated with asset management systems and the supplier network to minimize truck downtime.

• Government – server and network logs are used to identify Advanced Persistent Threats and insider threats.

SAP Big Data, Big Thinking webinar series

The Ernst & Young experience

• Organizations are looking to maximize revenue, increase market share, promote customer retention and service, manage risk and fraud, and improve technical and operational efficiency.

• Big Data isn’t just a technology or just about data – it’s about institutionalizing the analytical function in your organization.

• Building the analytically-enabled organization requires a combination of business activities, information management, and analytical apps and capabilities.

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SAP Big Data, Big Thinking webinar series

Getting started with Big Data• At the top of the stack, Big Data improves

information access, from ‘pull’ access to ‘push’

• It supersedes reporting with data visualization and exploration capability

• The basic analytics engine is replaced by sophisticated advanced analytics

• Data storage goes real-time, with infinite storage

• Traditional application sources are replaced by structured and unstructured data

• Underlying all this needs to be data science capabilities

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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.  Visit bit.ly/BigDataBigThinking

SAP Big Data, Big Thinking webinar series

1 Identify an executive sponsor

2 Identify 2-3 use cases across lines of business

3 Run workshops to refine the use cases and involve LOBs early

4 Identify the architectural gaps in your existing analytics framework

5 Ensure your analytics architecture can support as yet undefined use cases

6 Build the business case based on the use cases identified to justify incremental investment

Building the business case for Big Data projects

Copyright statement – © 2014 SAP SE or an SAP affiliate company. All rights reserved.

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