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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 on...
Agenda
•Big Data Trends: Datafication
•Overview of Big Data Technology
•Big Data Strategy
•Customer Success Stories
•Q&A
Datafication
Ken Cukier, data editor at The Economist ,and Viktor Mayer-Shönberger
Their book: Big Data: A Revolution That Will Transfo...
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 Economi...
Big Data Technology: Hadoop
Frameworkfordistributedprocessing
LargeDataSets
ClustersofComputers
SimpleComputingModels
High...
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 Ou...
Example: Event processing
NoSQL DB
RDBMSHadoop
Usage Logs
Aggregation
Correlation
Counters
Profiles
Recommendations
Transa...
Oracle’s Big Data Appliance
DATA RESERVOIR DATA WAREHOUSE
Oracle Database
Oracle Industry
Models
Oracle Advanced
Analytics...
Industry Uses
MEDIA/
ENTERTAINMENT
Viewers / advertising
effectiveness
Cross Sell
COMMUNICATIONS
Location-based
advertisin...
Hadoop Momentum Continues
Hadoop Revenue and
Forecast
49% CAGR, 2013-2018
Big Data Infrastructure
Market
$20.7b in 2018
Bi...
Big Data Challenges
Tool Complexity
• Early Hadoop tools only for experts
• Existing BI tools not designed for Hadoop
• Em...
Big Data Discovery
find explore transform discover share
Big Data Strategy
EDUCATION &
RESEARCH
Experiment
sensor analysis
Retail / CPG
Sentiment analysis
Hot products
Optimized M...
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 Su...
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 interact...
Impact of Going Digital
Mass media Internet/1:1 Social/Mobile
HIGHER EXPECTATIONS
86% of consumers will
pay more for a
bet...
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
• Prom...
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
AlgorithmsOffl...
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 ...
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
va...
Event processing: Add Complexity
NoSQL DB
RDBMSHadoop
Usage Logs
Aggregation
Correlation
Counters
Profiles
Recommendations...
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/bigd...
Big Data:  The Road to Know More About Your Business
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Big Data: The Road to Know More About Your Business

Does your organization have a Big Data strategy or have you started your Big Data journey? Surveys are showing that Big Data has not been implemented in the majority of companies. The difficulty is that the amount of data the world is producing outstrips most companies’ ability to use it. This session will review the need for a big data strategy, how to get started and the critical success factors to ensure you are on the Big Data Road to Success. Companies are creating huge business value by capturing more data (particularly unstructured data) from social media, sensors and mobile devices. Learn how these companies got started and what they are doing to transform their business.

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Big Data: The Road to Know More About Your Business

  1. 1. Big Data The Road to Know More about Your Business Anna E Lee Oracle
  2. 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. 3. Agenda •Big Data Trends: Datafication •Overview of Big Data Technology •Big Data Strategy •Customer Success Stories •Q&A
  4. 4. Datafication
  5. 5. 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.
  6. 6. Thoughts Things Activities Thoughts Things Activities
  7. 7. 13×2012-2017 50 Billion 2020 10 Billion Today Smart Device Growth Data Production Increase
  8. 8. Use Data 12% Executives who feel they understand the impact data will have on their organizations (*Oracle and the Economist Intelligence Unit) Produce Data
  9. 9. Big Data Technology: Hadoop Frameworkfordistributedprocessing LargeDataSets ClustersofComputers SimpleComputingModels HighlyAvailableService
  10. 10. Hadoop: Map-Reduce Click Stream Data Files Geo-location 1 2 3 HDFS Nodes Map Reduce
  11. 11. Hadoop as the Data Reservoir • Inexpensive Storage • Scalable • Fault Tolerant • Open Source • Challenges: Getting Data Out (Map-Reduce), Latency, Tools
  12. 12. Example: Event processing NoSQL DB RDBMSHadoop Usage Logs Aggregation Correlation Counters Profiles Recommendations Transactions Interaction
  13. 13. 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
  14. 14. 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
  15. 15. 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
  16. 16. 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
  17. 17. Big Data Discovery find explore transform discover share
  18. 18. 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
  19. 19. Data Capital Datafication
  20. 20. UNIQUE VALUE STRATEGY FIND YOUR BIG DATA KILLER APP
  21. 21. 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%
  22. 22. Challenges • Differentiate your customers’ experience • Combat fraud and risk • Streamline operations
  23. 23. Differentiate Your Customer’s Experience • Real-time personalization • Real-time offer decisioning • Omni-channel interaction
  24. 24. 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
  25. 25. Many Smaller Transactions Update Cart Wish Lists Packaging Instructions Capture Comments Shipping Address Track Ratings
  26. 26. Customer Profiles
  27. 27. Real time Personalization • Synchronize in-play gambling with live incoming events • Guarantee accurate bet payment • Promote interaction between customers • NoSQL database for speed, scalability
  28. 28. Deliver Personalized Offers in Real Time PREDICTIVE MODELS BUSINESS OBJECTIVES REAL TIME OFFER
  29. 29. $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
  30. 30. Combat Fraud and Risk • Minimize data movement • Analyze all of your data • Apply advanced analytics
  31. 31. 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
  32. 32. Streamline Operations • Detect and correct problems • Combine unstructured data • Apply advanced analytics
  33. 33. 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
  34. 34. Event processing: Add Complexity NoSQL DB RDBMSHadoop Usage Logs Aggregation Correlation Counters Profiles Recommendations Transactions Interaction Information Discovery Advanced Analytics Real-time Personalization
  35. 35. Challenges Opportunities • Differentiate your customers’ experience • Combat fraud and risk • Streamline operations
  36. 36. Improve What Exists Create New Possibilities
  37. 37. 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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