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In this slidecast, Manan Goel from Teradata describes the company's new Aster Discovery Analytics Platform. "The innovative design of the Aster Discovery Platform will liberate data scientists around the world by reducing complexity, breaking down analytic silos, and magnifying analytic ability,” said Scott Gnau, president, Teradata Labs. “The Aster Discovery Platform is the first to offer cross-analytic engine optimization and data processing innovations that make it faster and easier for a wider group of users to leverage Aster’s analytics. The Aster Discovery Platform will fuel innovation and profoundly impact business results.” Learn more: http://www.teradata.com/News-Releases/2013/Teradata-Aster-Discovery-Platform-Liberates-Data-Scientists-Around-the-World/ Watch the presentation video: http://wp.me/p3RLEV-1gw
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INTRODUCING TERADATA ASTER DISCOVERY PLATFORM 6
2 10/15/13 Teradata Confidential
Conversations Business and IT Leaders are Having
New types of data present new opportunities
Reduce complexity of big data analytics
Empower existing resources to
generate value from big data
Bring big data analytics to every
enterprise consumer
Gain unmatched competitive
advantage using Big Data
Marketing Executives
Operational Systems
Frontline Workers
Customers Partners
Engineers
Data Scientists
Business Analysts'
Math and Stats
Data Mining
Business Intelligence
Applications
Languages
Marketing
APPLICATIONS
USERS
SQL-H, UNITY, SMART LOADER
CONNECTORS UNITY
VIEWPOINT TVI
MDM
TERADATA UNIFIED DATA ARCHITECTURE
INTEGRATED DATA WAREHOUSE
DISCOVERY PLATFORM
ERP
SCM
CRM
Images
Audio and Video
Machine Logs
Text
Web and Social
SOURCES
TERADATA PORTFOLIO FOR
HADOOP
TERADATA DATABASE
TERADATA ASTER DATABASE
DATA PLATFORM
4 10/15/13 Teradata Confidential
Discovery Platform Requirements
1
2
3
4
All Data
Multiple Analytic Methods
Diverse Enterprise Analysts
Rapid Exploration
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All Data: Web Analytics
What do you want to
discover? Recommend Analysis
Influence Analysis
Website Analysis
Satisfaction Metrics
Bus
ines
s Va
lue
TX Data
IX Logs
Review Text
Social Graph
Events Time
Emails Text
6 10/15/13 Teradata Confidential
Predictive Analytics
Influencer Analysis (6X)
Percentile Analysis
Churn Analysis
Behavioral Analysis (+25%)
Bus
ines
s Va
lue
Statistics Path
& Time Text SQL Graph Machine Learning
Multiple Analytic Methods: Telco Churn Better Predictive Churn Results
7 10/15/13 Teradata Confidential
Diverse Enterprise Analysts
Business Analysts Apps
Data Scientists and Analysts SQL, BI Tools
Developers Workbench, IDE, Library
8 10/15/13 Teradata Confidential
Rapid Exploration
Data Scientist
Business User
Rapid Exploration
Fail Fast and Discover More
? Data Acquisition
1
Data Preparation
2
Visualization
4
Analysis
3
9 10/15/13 Teradata Confidential
What We are Announced On Oct 8th
“Industry’s First Integrated Big Data Analytics and Discovery Platform”
Aster 6
Teradata Aster Discovery Platform 6 Next Generation Discovery Platform
New Integrated File Store SNAP™ Framework for Discovery
New Integrated Graph Analytic
Engine
10 10/15/13 Teradata Confidential
Aster SQL-GR™ Engine Built on a scalable framework to enable Big Graph
Feature • Native graph processing • Massively scalable, not bound by memory limits • Pre-built graph functions • Integrated with SQL • Designed for Analytics
Benefits • Richer insights with powerful Graph processing • Large scale graph processing with best price
performance • Brings Graph processing to SQL audience
GRAPH
11 10/15/13 Teradata Confidential
Recommendation for Retail
Business Objective Entice shoppers to migrate from low to high margin products Increase cross sell and upsell & improve shopping experience
Opportunity to Impact
• Increased revenue from recouped lost sales by using behavior based personalized recommendations
• Improved shopping experience • Insights for relevant messaging and targeted offers
Challenges • Multi-structured data in a variety of formats and types • Large amounts of data – billions of records per month • Granular analysis not possible due to slow performance • Traditional techniques require manual and time
intensive coding
Solution • Use Aster’s Graph Analytic engine to identify bridge products
that lead shoppers from low margin to high margin products • Products are nodes, transactions are edges • Perform many to many affinity analysis at any level of granularity
12 10/15/13 Teradata Confidential
Use Case: Recommendations – Bridge Products
13 10/15/13 Teradata Confidential
Use Case: HR Retention
Fred
Ethel Randy
Ricky
Ella
Ava
Jack
Ryan
Ethan Madison
Lauren
14 10/15/13 Teradata Confidential
A New Data Store – Aster File Store™
Based on Common Storage System and Services
Feature • Purpose-built store to capture and preprocess
data in raw form • Integral component of Aster architecture • HDFS compatible storage API
Benefits • Fast, flexible and efficient multi-structured
data ingest, access and preprocessing • Easy storage management, access control,
high availability, single cluster co-location • 100% interoperability with Hadoop HDFS
FILE STORE
SNAP™ Framework For Discovery
SNAP™ FRAMEWORK
INTEGRATED OPTIMIZER
INTEGRATED EXECUTER
UNIFIED SQL INTERFACE
STORAGE SYSTEM AND SERVICES
STATS TEXT
T MAP REDUCE SQL GRAPH
FILE STORE COLUMN STORE ROW STORE
PATH
16 10/15/13 Teradata Confidential
Detect Customer Churn in Telecommunications
Business Objective Detect and prevent customer churn Enhance churn prediction and find incremental at risk customers
Business Value
• Incremental revenue from additional high risk churners detected • Acquisition costs avoided to replace lost customers over same period • $10’s of millions saved in preventing brand erosion
Challenges • Siloes of customer data from multiple channels of interaction • Multi-structured data in a variety of formats and types • Huge amounts of data of the order of billions of records • Limited impact of individual analytic techniques used on
their own
Solution • Detect behavioral churn by seamlessly combining Aster’s Graph
+ Path + Text + Statistical Predictive Analysis Functions • Analyze ALL channels of interaction to gain a 360° view • Identify Key Patterns of Behavior that Lead to Churn • Enable pro-active outreach to save profitable at-risk customers
17 10/15/13 Teradata Confidential
Use Case Example - Prevent Churn in Telco
Path Sentiment Statistics Social Graph
Higher Customer Retention
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Aster 6 Delivers Unique Value
• Solve business problems that can not be solved or are difficult to solve with todays tools
• Create deeper insights using multiple analytic methods
• By making it easy to do big data analytics and discovery, brings the science of data to art of business so everyone can be a data scientist
• Fastest Time-to-value; rapid iterations
• Discovery platform that is open, standards-based and extensible to meet your current and future needs
• Plugs seamlessly into your existing infrastructure, leverage existing skills and investments
• Scalable, reliable and manageable
For Business For IT
19 10/15/13 Teradata Confidential
Summary - What’s new in Aster 6
New Analytic Engine • SQL-GR™ Engine
Powerful Big Graph and iterative analytics
Features Benefits
A data store – Aster File Store™ • Leverage common storage system
and services • HDFS compatibility
SNAP™ Framework • Executor and Optimizer • Common Storage System & Services • Unified SQL Interface
Quickly and reliably ingest and analyze multi-structured data • Multi-structured data flexibility, high
performance • 100% HDFS compatible
Standards-based, extensible, integrated, easy and powerful discovery processing and storage
20 10/15/13 Teradata Confidential
Thank You!
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