1. ORACLE
Getting a grip on Big Data

2. Submitted by:
Rohit Mangtani
Komalpreet Kapur
Iqra Muneer
Priyesh Patel

3. Brief Contents
 Introduction to Oracle
What is Big Data?
Financial Analysis
Marketing and Strategies
Conclusion and Discussion

4. What is Oracle?
Oracle Corporation is an American multinational
computer technology corporation headquartered
in Redwood City, California, United States. The
company primarily specializes in developing and
marketing database software and
technology, cloud engineered systems
and enterprise software products – particularly its
own brands of database management systems.

5. At the heart of Oracle is a single
focus: finding better ways to manage
data.

6. History of Oracle
•In 1977, system development laboratories were
founded which was the precursor to Oracle
Corporation.
•In 1986 Oracle goes public on NASDAQ and
launches its SQL software.
•By 1987 Oracle is confirmed as the world’s largest
database management software company.
•In 2011 Oracle’s database, system was the first one
to pass nine industry standard security evaluations.
•For more than three and a half decades Oracle has
been a leader in database software.

7. Oracle’s Vision
The success of Oracle’s products and services is
based on three principles:
• Simplify – Enterprises must increase the
speed of information delivery with integrated
systems.
•Standardize – Enterprises must reduce cost
and maintenance with open, easily available
technology.
• Automate – Enterprises must improve
operational efficiency with technology and best
practices

8. Key Success Factors
•Technical expertise.
•Meet the real needs of customers better
than the competitors.
•Develop core products that lead to higher
levels of customer satisfaction.
•Process integration is considered to hold
the key to future competitive success.

9. Strengths
•Offers consulting, education
and support services for its
customers.
•Strong sales distribution
channels both domestically
and internationally .
•Experience and knowledge
in the areas of data storage,
business applications and e-
marketing
Weaknesses
• As impressive as Oracle’s
strategy is in terms of
innovation and thinking, it
needs to advertise it more and
use it to leverage client interest
in current solutions.
•Less control over some
international operations than
domestic because of reliance
on partnerships and alliances
instead of direct involvement

10. Big Data

12. What is Big Data?
•Extremely large data sets that may be analyzed
computationally to reveal patterns, trends, and
associations, especially relating to human behavior and
interactions.
•Big data generates value from the storage and processing
of very large quantities of digital information that cannot be
analyzed with traditional computing techniques.

13. WHO IS GENERATING BIG DATA ?
Social media
and
networks
(all of us are
generating
data)
Scientific
instruments
(collecting all sorts
of data)
Mobile
devices
(tracking all
objects all
the time)
Sensor
technology
and networks
(measuring all
kinds of data)
• Collecting Data is No longer is a problem but, the ability to manage,
analyze, summarize, visualize, and discover knowledge from the
collected data in a timely manner and in a scalable fashion is what
possesses a challenge.

14. Volume
• Data
quantity
Velocity
• Data
Speed
Variety
• Data
Types
Three Characteristics of Big Data:
3Vs

15. Similarities and Differences between
Traditional and the new methods
Similarities:
•The main goal of the data management companies is to
collect and analyze the data which both traditional and
big database does.
•Both methods effectively help in assessing the marketing
needs and to get customers’ insights.

16. Differences:
•Traditional database can be effective only if the data is
in a structured form whereas big data can store
unstructured data effectively.
•Traditional database finding method produces large
amount of data whereas Big Data is smaller in size
compared to the data of Traditional methods.
•Big Data provides with real time information where as
Traditional method cant.

17. VALUE OF BIG DATA ANALYTICS
• Big data is more real-time
in nature than traditional
DW applications.
• Traditional DW
architectures (e.g.
Exadata, Teradata) are not
well-suited for big data
apps.
• Shared nothing, massively
parallel processing, scale
out architectures are well-
suited for big data apps

18. Use of Big Data
•It helps to analyze a variety of data by exploring and
experimenting for more precise personalized interactions and
quicker, more accurate anticipation of changing behavior and
situations. Speed discoveries and next best action into operational
activities.
•Big data helps you prioritize and plan your implementation while
considering business impact, and existing data, technology and
skills.
•Benefits include:
•Improved insight into customer behavioral data
•Adoption of analytics as a competitive weapon
•Increased yield, productivity or profitability
•Clearer visibility into emerging threats and risks

19. - Ad-hoc querying and reporting
- Data mining techniques
- Structured data, typical sources
- Small to mid-size datasets
- Optimizations and predictive analytics
- Complex statistical analysis
- All types of data, and many sources
- Very large datasets
- More of a real-time
What’s driving Big Data?

20. • The digital universe is expected to grow more than
double every two years, reaching 44 trillion
gigabytes of information by 2020, according to IDC
(international data corporation). Tapping into this
rich flow of new information provides the foundation
for more personalized and relevant customer
conversations and improved marketing
effectiveness.
Does Big Data help in improving
Marketing effectiveness?

21. • The importance of big data doesn’t revolve around
how much data you have, but what you do with it.
• You can take data from any source and analyze it to
find answers that enable.
• 1) cost reductions, 2) time reductions, 3) new
product development and optimized offerings, and
4) smart decision making.
Why is Big Data Important?

22. o When you combine big data with high-powered
analytics, you can accomplish business-related
tasks such as:
• Determining root causes of failures, issues and
defects in near-real time.
• Generating coupons at the point of sale based on
the customer’s buying habits.
• Recalculating entire risk portfolios in minutes.
• Detecting fraudulent behavior before it affects your
organization.

23. • Skills
• Lack of tools and training to exploit Big Data
• Integration
• Adding Big Data to existing architecture is complex
• Too much effort required in data preparation
• Security
Barriers to Big Data Complexity

24. • Data Security – Theft of data
• Costs – collecting data without any strategy.
• Bad Data - collecting irrelevant, out of date, data.
• Bad Analytics- Misinterpreting the patterns shown by your
data
• Privacy
24
Downsides of Big Data

25. • $15 billion on software firms only specializing in data
management and analytics.
• This industry on its own is worth more than $100 billion
and growing at almost 10% a year which is roughly
twice as fast as the software business as a whole.
• In February 2012, the open source analyst firm Wikibon
released the first market forecast for Big Data , listing
$5.1B revenue in 2012 with growth to $53.4B in 2017
• The McKinsey Global Institute estimates that data
volume is growing 40% per year, and will grow 44x
between 2009 and 2020.
Future of Big Data

27. Financial Analysis

28. ORCL PVT1 MSFT IBM Industry
Market Cap: 149.98B N/A 404.09B 119.07B 251.75M
Employees: 132,000 74,4061 118,000 N/A 589.00
Qtrly Rev
Growth (yoy): -0.06 N/A -0.10 -0.09 0.25
Revenue
(ttm): 37.47B 21.34B1 88.08B 81.74B 134.25M
Gross Margin
(ttm): 0.59 N/A 0.64 0.50 0.64
EBITDA (ttm): 15.21B N/A 30.46B 19.59B -338.00K
Operating
Margin (ttm): 0.36 N/A 0.28 0.19 -0.07
Net Income
(ttm): 9.20B 3.99B1 11.41B 13.36B N/A
EPS (ttm): 2.07 N/A 1.41 13.42 -0.13
P/E (ttm): 17.21 N/A 36.16 9.14 30.17
PEG (5 yr
expected): 1.72 N/A 1.89 1.24 0.87
P/S (ttm): 3.98 N/A 4.53 1.43 2.82

29. ORACLE FINANCE
Market Cap
$150 Billion
P/S
3.29 %
Beta
1.02891

30. ORACLE CORPORATION AND IT’S
COMPETITORS
Oracle Corp
Hardware and software Hardware and software Software
IBM
1.6 % No Competition 4%
SAP
7 Not Applicable 7
Revenue Spend by Clients to
maintain services
Client Review on the scale of 1 –
10 ( were 1 is the worst service and
10 is unexpectedly good Service )

31. 8541 8914
8400
4518 4399
5310
25932
25432
22932
0
5000
10000
15000
20000
25000
30000
2013 2014 2015
INCOME(SOFTWARE)INMILLIONS
NUMBER OF YEARS
Line Chart
Oracle SAP IBM 2 per. Mov. Avg. (Oracle)

32. Service 40%
Hardware 38%
Software22%
Income Distribution in Oracle (Big
Data)
Service Hardware software

33. Oracle market themselves by providing quality product
with quality service. Customers depend on Oracle for
complete, modern, search portfolio of enterprise and
industry applications. That why Oracle service is
engineered with high performance, simplified
management, and high availability at a lower TCO
(Total cost of ownership) to the product affordable to its
customers. The company offers systems such as built-
in virtualization, cloud management and system
management, which support Oracle and non-Oracle
application and solutions.
Marketing

34. Marketing Strategy
• Oracle follows a business-to-business marketing
strategy by understanding business markets and
business buyer behavior. Oracle engage their business
customers by building profitable relationship by creating
superior customer value.
• The company market its product by business seminars
to share their vision, update their progress, and have
their customers share their stories. Their customers are
from both public and private sector across industries and
geographic.

35. Blogs are Oracle’s best friend
While video blogs and social media posts are useful, the
real resources lie in blog posting. Why this medium?
Because it enables learned professionals to deliver
knowledge regarding a specific, intricate technology. For
example, suppose a data center manager wants to
optimize server use and deduces that virtualization is the
best option. While this information may be way too
complex for most of us, remember the target audience: IT
workers who already know what virtualization does and
want to understand Oracle’s detailed take on the
technology.

36. Oracle became the world’s second
largest software company by listening
to its customers, making smart
decisions, building great products and
staying ahead of the technological and
marketing curve.
Customer Driven Strategy

37. The difficult truth is that your customers don’t
care about your innovation or products; they
care only about the result you can help them
achieve. So while many companies believe
they’re focused on their customers’ success,
they’re really focused on their own success.

38. Challenges faced by Oracle
Big data is the next big thing for the data management
companies. Oracle being one of the best companies in
managing and providing data to the customers, also
faces challenges. Many start ups are joining the fray to
have a piece of the big data pie.
But with the R&D capabilities and the integrated
hardware and software line that Oracle posses it is
impossible for small companies and startups to match
the oracles might. But Oracle does face a serious
threat from huge companies like IBM and Microsoft.

39. Conclusion
“Oracle believes that information matters.
Oracle believes that information is power.
Oracle believes in doing everything they
can to help out customers lower costs, get
information on demand, and make the
best decisions so they can compete and
win.”

40. In the future will Customer’s be concerned
about the downside or less?
Question

41. Big data has enabled large companies to understand a
customers’ spending process, as a result, these companies roll
out benefits to these customers, which would in turn buy or use
their products. For these companies the expense of these
benefits is too small compared to getting a loyal customer. Just
about every company today captures every transaction of the
customer and roll out benefits to them.
For e.g. giving airlines give out frequent flier benefits like use of
VIP lounge at the airport, shopping retailers give points to
frequent buyers, which in turn can be used to get discounts on
the next purchases. Customers usually like these kinds of
benefits and would become loyal to the airlines which has the
most points on flying or shop at the place which rewards most
points on a dollar spent. As long as such benefits are
significant to the customers, I think customers would be less
concerned about the downsides.

42. REFERENCES
 www.youtube.com
 www.oracle.com
 http://www.itproportal.com/2013/08/05/the-big-data-
boom-what-why-and-how/
 https://www.quora.com/What-does-Oracle-sell-and-
who-are-its-target-customers
 http://www.oracle.com/us/corporate/oracle-fact-
sheet-079219.pdf
 http://www.crmsearch.com/oracle-strategy.php
 www.wikipedia.com