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Big Data
The Road to Know More about Your Business
Anna E Lee
Oracle
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.
Agenda
•Big Data Trends: Datafication
•Overview of Big Data Technology
•Big Data Strategy
•Customer Success Stories
•Q&A
Datafication
Big Data:  The Road to Know More About Your Business
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.
Thoughts Things Activities
Thoughts Things Activities
13×2012-2017
50
Billion
2020
10
Billion
Today
Smart Device Growth Data Production Increase
Use
Data
12%
Executives who feel they
understand the impact data
will have on their organizations
(*Oracle and the Economist Intelligence Unit)
Produce
Data
Big Data Technology: Hadoop
Frameworkfordistributedprocessing
LargeDataSets
ClustersofComputers
SimpleComputingModels
HighlyAvailableService
Hadoop: Map-Reduce
Click Stream
Data Files
Geo-location
1
2
3
HDFS Nodes
Map Reduce
Hadoop as the Data Reservoir
• Inexpensive Storage
• Scalable
• Fault Tolerant
• Open Source
• Challenges: Getting Data Out (Map-Reduce), Latency, Tools
Example: Event processing
NoSQL DB
RDBMSHadoop
Usage Logs
Aggregation
Correlation
Counters
Profiles
Recommendations
Transactions
Interaction
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
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
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
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
Big Data Discovery
find explore transform discover share
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
Data
Capital
Datafication
UNIQUE
VALUE
STRATEGY
FIND YOUR BIG DATA KILLER APP
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%
Challenges
• Differentiate your
customers’ experience
• Combat fraud and risk
• Streamline operations
Differentiate Your Customer’s Experience
• Real-time personalization
• Real-time offer decisioning
• Omni-channel interaction
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
Many Smaller Transactions
Update
Cart
Wish
Lists
Packaging
Instructions
Capture
Comments
Shipping
Address
Track
Ratings
Customer Profiles
Real time Personalization
• Synchronize in-play gambling
with live incoming events
• Guarantee accurate bet
payment
• Promote interaction between
customers
• NoSQL database for speed,
scalability
Deliver Personalized Offers in Real Time
PREDICTIVE
MODELS
BUSINESS
OBJECTIVES
REAL TIME
OFFER
$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
Combat Fraud and Risk
• Minimize data movement
• Analyze all of your data
• Apply advanced analytics
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
Streamline Operations
• Detect and correct problems
• Combine unstructured data
• Apply advanced analytics
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
Event processing: Add Complexity
NoSQL DB
RDBMSHadoop
Usage Logs
Aggregation
Correlation
Counters
Profiles
Recommendations
Transactions
Interaction
Information Discovery
Advanced Analytics
Real-time Personalization
Challenges Opportunities
• Differentiate your
customers’ experience
• Combat fraud and risk
• Streamline operations
Improve What Exists Create New Possibilities
Q&A
Anna E Lee
Solution Consultant
N American Analytics
Oracle
anna.e.lee@oracle.com
Find out more at: www.oracle.com/bigdata

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Big Data: The Road to Know More About Your Business

  • 1. Big Data The Road to Know More about Your Business Anna E Lee Oracle
  • 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
  • 11. Hadoop: Map-Reduce Click Stream Data Files Geo-location 1 2 3 HDFS Nodes Map Reduce
  • 12. Hadoop as the Data Reservoir • Inexpensive Storage • Scalable • Fault Tolerant • Open Source • Challenges: Getting Data Out (Map-Reduce), Latency, Tools
  • 13. Example: Event processing NoSQL DB RDBMSHadoop Usage Logs Aggregation Correlation Counters Profiles Recommendations Transactions Interaction
  • 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
  • 18. Big Data Discovery find explore transform discover share
  • 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%
  • 23. Challenges • Differentiate your customers’ experience • Combat fraud and risk • Streamline operations
  • 24. Differentiate Your Customer’s Experience • Real-time personalization • Real-time offer decisioning • Omni-channel interaction
  • 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
  • 29. Deliver Personalized Offers in Real Time PREDICTIVE MODELS BUSINESS OBJECTIVES REAL TIME OFFER
  • 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
  • 33. Streamline Operations • Detect and correct problems • Combine unstructured data • Apply advanced 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
  • 35. Event processing: Add Complexity NoSQL DB RDBMSHadoop Usage Logs Aggregation Correlation Counters Profiles Recommendations Transactions Interaction Information Discovery Advanced Analytics Real-time Personalization
  • 36. Challenges Opportunities • Differentiate your customers’ experience • Combat fraud and risk • Streamline operations
  • 37. Improve What Exists Create New Possibilities
  • 38. Q&A Anna E Lee Solution Consultant N American Analytics Oracle anna.e.lee@oracle.com Find out more at: www.oracle.com/bigdata