The document discusses a webinar by SAP and Ernst & Young on big data. It explores big data adoption trends, how organizations can leverage big data to improve business performance and manage risks, and common use cases across industries like retail, transportation, and government. The webinar provides guidance on how organizations can get started with big data initiatives by identifying executive sponsors, use cases, architectural gaps, and building a business case to justify investment.

1. 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

2. 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.
2

3. 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
3

4. 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
4

5. 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?
5

6. 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.
6

7. 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
7

8. 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
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.
8