This document discusses big data trends and how organizations can leverage big data to gain insights into their business. It provides an overview of big data technologies like Hadoop and how companies can build a big data strategy. Examples are given of how different industries like retail, healthcare, and online services are using big data to personalize the customer experience, combat fraud, and streamline operations. The presentation concludes by addressing common big data challenges and opportunities that using big data provides.
2. Safe Harbor
The following is intended to outline our general product direction. It is intended
for information purposes only, and may not be incorporated into any contract. It
is not a commitment to deliver any material, code, or functionality, and should
not be relied upon in making purchasing decisions. The development, release,
and timing of any features or functionality described for Oracle’s products
remains at the sole discretion of Oracle.
3. Agenda
•Big Data Trends: Datafication
•Overview of Big Data Technology
•Big Data Strategy
•Customer Success Stories
•Q&A
6. Ken Cukier, data editor at The Economist ,and Viktor Mayer-Shönberger
Their book: Big Data: A Revolution That Will Transform How We Live, Work, And Think.
9. Use
Data
12%
Executives who feel they
understand the impact data
will have on their organizations
(*Oracle and the Economist Intelligence Unit)
Produce
Data
10. Big Data Technology: Hadoop
Frameworkfordistributedprocessing
LargeDataSets
ClustersofComputers
SimpleComputingModels
HighlyAvailableService
12. Hadoop as the Data Reservoir
• Inexpensive Storage
• Scalable
• Fault Tolerant
• Open Source
• Challenges: Getting Data Out (Map-Reduce), Latency, Tools
14. Oracle’s Big Data Appliance
DATA RESERVOIR DATA WAREHOUSE
Oracle Database
Oracle Industry
Models
Oracle Advanced
Analytics
Oracle Spatial & Graph
Big Data Appliance
Apache
Flume
Oracle
GoldenGate
Oracle Event
Processing
Cloudera Hadoop
Oracle NoSQL
Oracle R Advanced
Analytics for Hadoop
Oracle R Distribution
Oracle Database
In-Memory, Multi-tenant
Oracle Industry Models
Oracle Advanced
Analytics
Oracle Spatial & Graph
Exadata
Oracle
GoldenGate
Oracle Event
Processing
Oracle Data
Integrator
Oracle Big Data
Connectors
Oracle Data
Integrator
15. Industry Uses
MEDIA/
ENTERTAINMENT
Viewers / advertising
effectiveness
Cross Sell
COMMUNICATIONS
Location-based
advertising
EDUCATION &
RESEARCH
Experiment
sensor analysis
Retail / CPG
Sentiment analysis
Hot products
Optimized Marketing
HEALTH CARE
Patient sensors,
monitoring, EHRs
Quality of care
LIFE
SCIENCES
Clinical trials
Genomics
HIGH TECHNOLOGY /
INDUSTRIAL MFG.
Mfg quality
Warranty analysis
OIL & GAS
Drilling
exploration
sensor analysis
FINANCIAL
SERVICES
Risk & portfolio analysis
New products
AUTOMOTIVE
Auto sensors
reporting
location,
problems
Games
Adjust to
player
behavior
In-Game Ads
LAW
ENFORCEMENT
& DEFENSE
Threat analysis -
social media
monitoring, photo
analysis
TRAVEL &
TRANSPORTATION
Sensor analysis for
optimal traffic flows
Customer sentiment
UTILITIES
Smart Meter
analysis for
network
capacity,
ON-LINE
SERVICES /
SOCIAL
MEDIA
People & career
matching
Web-site
optimization
16. Hadoop Momentum Continues
Hadoop Revenue and
Forecast
49% CAGR, 2013-2018
Big Data Infrastructure
Market
$20.7b in 2018
Big Data Software
Market
$9b in 2018
Data Warehouse
Existing Sources Emerging Sources
Data ReservoirData Warehouse
17. Big Data Challenges
Tool Complexity
• Early Hadoop tools only for experts
• Existing BI tools not designed for Hadoop
• Emerging solutions lack broad capabilities
80% effort typically
spent on evaluating
and preparing data
Data Uncertainty
• Not familiar and overwhelming
• Potential value not obvious
• Requires significant manipulation
Over dependent on
scarce and highly
skilled resources
19. Big Data Strategy
EDUCATION &
RESEARCH
Experiment
sensor analysis
Retail / CPG
Sentiment analysis
Hot products
Optimized Marketing
HEALTH CARE
Patient sensors,
monitoring, EHRs
Quality of care
LIFE
SCIENCES
Clinical trials
Genomics
OIL & GAS
Drilling
exploration
sensor analysis
Games
Adjust to
player
behavior
In-Game Ads
LAW
ENFORCEMENT
& DEFENSE
Threat analysis -
social media
monitoring, photo
analysis
UTILITIES
Smart Meter
analysis for
network
capacity,
ON-LINE
SERVICES /
SOCIAL
MEDIA
People & career
matching
Web-site
optimization
Finding and Monetizing
Unknown Relationships
Analyze Bigger, More
Diverse Data Sets
Data Driven
Business Decisions
MEDIA/
ENTERTAINMENT
Viewers / advertising
effectiveness
Cross Sell
COMMUNICATIONS
Location-based
advertising
HIGH TECHNOLOGY /
INDUSTRIAL MFG.
Mfg quality
Warranty analysis
FINANCIAL
SERVICES
Risk & portfolio analysis
New products
AUTOMOTIVE
Auto sensors
reporting
location,
problems
TRAVEL &
TRANSPORTATION
Sensor analysis for
optimal traffic flows
Customer sentiment
22. There is Progress to be Made
Source: Retail CIO Download 2014 Agenda: Leadership and Agility, 2014, “Global Insights on Succeeding in the Customer Experience Era” survey of 1300 senior level execs in North America, Europe, Asia Pacific
and Latin America , 2013.
46%
Of CIOs say turning
massive
amounts of data into
usable business analytics
is their greatest concern
20%
Big data initiative is
advanced
Are just getting started with
a formal big data projects
37%
25. Impact of Going Digital
Mass media Internet/1:1 Social/Mobile
HIGHER EXPECTATIONS
86% of consumers will
pay more for a
better customer
experience
26% of consumers post
negative comments
after a bad
experience
Customer Power
and Choice
Company Power
and Voice
Source: RightNow Customer Experience Impact Report , based on a survey conducted by Harris Interactive, 2012
28. Real time Personalization
• Synchronize in-play gambling
with live incoming events
• Guarantee accurate bet
payment
• Promote interaction between
customers
• NoSQL database for speed,
scalability
30. $200M
Incremental
Revenue in 2013
Increase in
Conversions
30%
Increase in
Satisfaction
30%
Machine
Learning
AlgorithmsOffline
Customer Data
Call Center
Website
Personzalized Sales, Service, Marketing
31. Combat Fraud and Risk
• Minimize data movement
• Analyze all of your data
• Apply advanced analytics
32. Prevent Fraud
• Fraud resolution is required
within milliseconds of the
clearing on-line payments
• Identify patterns and re-train
model in real-time
• Reduced time to fit and
deploy models in hours
• Avoiding $MMs in fraud with
in-database analytics
34. Information Discovery
• Respond and resolve
warranty claims in 30 days
• Identify trends from
searching and visualizing
variety of data
• Reduced investigations to
days instead of weeks