big data: the road to know more about your business
TRANSCRIPT
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
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
Framework for distributed processing
Large Data Sets
Clusters of Computers
Simple Computing Models
Highly Available Service
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
RDBMS Hadoop
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 Reservoir Data 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 Algorithms Offline
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
RDBMS Hadoop
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
Find out more at: www.oracle.com/bigdata