1. Big Data
Analytics as a Service
Joint Offering by T-Systems & Teradata
Christopher Carter, T-Systems International
Dr. Stefan Schwarz, Teradata International

2. Agenda
T-Systems and Teradata –
partnering for best in class Big Data AaaS
Use Case Example
The Big Data AaaS Architecture
Delivery Models
Questions & Answers

3. T-Systems is a division of
Deutsche Telekom AG

4. T-Systems is a strong and international
partner for IT and Information Services

5. The cloud is at the core of T-Systems
business model
BYODCUSTOMER
INTERACTION
MANAGEMENT OF MOBILE
DEVICES & APPSMASS COLLABORATION
SOCIAL MEDIA BUSINESS
Mobile
enterprise
Collaboration
DATA MANAGEMENT
BUSINESS INTELLIGENCE
HARMONIZING IT
SYSTEMS
Cloud
T-SYSTEMS supports
the transformation
with ICT SERVICES

6. T-Systems is the leading cloud
provider - counting on more than
seven years of cloud experience.
2005 2012

7. • Shared-nothing Databases are Required to Support BI
in the Cloud
> Teradata is the only vendor with a fully stringent shared
nothing concept
• Seamless integration of poly-structured data and
traditional relation data is a must have
> Teradata’s UDA enables the cloud to cope with all
different kinds of data in a closely integrated fashion
and creates the needed transparency around technology
• Deep industry knowledge is a prerequisite to deliver
maximum value through a cloud service
> Teradata owns a deep business knowledge in all
relevant industries through their industry/business
consulting and PS organization
Teradata is the ideal technology partner
and strong in industry consulting

8. Agenda
T-Systems and Teradata –
partnering for best in class Big Data AaaS
Use Case Example
The Big Data AaaS Architecture
Delivery Models
Questions & Answers

9. BIG DATA ARCHITECTURE

10. We built the best Environment to offer
Analytics as a Service to quickly
empower clients
07.11.2013 1
AUTO-
MOTIVE
ENERGY HEALTH
other
Verticals
Consumption
Ad Hoc
Analysis
Root Cause
Analysis
Multi-
Device
Provison
Methods / Insight Generation
Descriptive
Analytics
Predictive
Analytics
Behavioral
Analytics
Data Management
Multiple
Source
Acquisition
Data
Integration
Data
Quality
Assurance
Data Sources
3rd Party
Data
Providers
Unstruct.
Data
Strucured
Data
Streaming/
Voice Data
 Mulit-tenant cloud environment in Germany
(or alternative countries of the customer‘s choice)
 Vertical and horizontal analyitical solution framework
 Analytics as a Service
Application & Infrastructure support
 Data Security are fully covered
 User Experience Leads
 Big Data Designers
 Industry Experts
 Data Scientists
 Data Architects, DBA‘s
 ETL Designer / Developer
 Data Integration Experts
 Data Architects, DBA‘s
 ETL Designer / Developer
 Data Integration Experts
Solution&Technical
Architecture
Performance
Engineer
CapacityPlanning,OperationsAnalyst,
Service&InfrastrucutreManagement

11. Our Framework covers the E2E flow
of data, provided in a multi-tenant
and secure cloud environment
Consumption
External
Data
Methods / Insight GenerationData ManagementData Sources
Internal
Data
Unstructur
ed
Data
Streaming
, M2M,
Voice
Data
Controls (Archive, Data Quality, SLA Reporting, Continous Learning)
Security (Data Security, Network Security, Physical Security)
Operations (Monitoring, Tuning, Back Up & Recovery, Capacity Mgmt.)
Governance (Managed Requirements, Managed Use)
 Competitors
 Consumers
 Market Place
 CRM
 Dealers
 Services
 Call Center
 Car Data
 X-Ray Data
 IP-TV Data
Data Storage
Distributed
Data Processing
Data Quality Management
Data Access
Real Time Data Processing
(Data Mart Generation “on the fly”) Segmentation
Clustering
Profiling
Predictive
Modeling
Optimization
Text Mining
My Segments
Root Cause
Analysis
Quality of Service
Improvement
Trending, Alerting,
Prediction
Revenue Assurance
Optimisation
Semantic
Analysis
My Alerts
Mobile
Devices
Automatically
Distribution
Dashboard
Reporting
Dashboard
Reporting
Analyzing,
Forecasting,
Modeling
Insight Generation
Insight Delivery,
Presentation,
Consumption

12. VALUE PROPOSITION
Customer
Value Drivers
 Reveals strategic
insights
 Faster & smarter
decisions making
 Creates new
business
opportunities
Offering Strategy
 Consulting capabilities and
vertical solutions
 Cloud based Big Data platform
 On demand delivery Model
 Using Best in Class
Technologies from different
Strategic Partners
Analytics-
as-a-Service
USPs
high security
standards
highly scalable
platform
short ramp up
time

13. Stepwise approach from CMO to
FMO in order to enter the Next
Level BI / Big Data
13
CMO BI/DWH Transformation Approach
BI/DWH
towards
Big Data
FMO Big Data
 Detailed
analyses, design
and prototyping
 First analyses of
data base
schemes and
operations
 Make a complete
inventory (e.g.
tables, ETL
scripts, indexes,
etc.)
 Design overall
migration
process. Will
include at least:
o Data Mapping
o Data
streaming
o Data Analyses
 Load data onto
T-Systems PoC
platfrom
 Run analyses
and tests
against the
target
requirement
specs
 Note: parallel
operations of
current BI/DWH
and Big Data
PoC platforms
 Execute
transformation
 Testing
 Handover to
operations
Analysis &
Assessment
Transformation
Strategy
Proof of Concept Transformation

14. Agenda
T-Systems and Teradata –
partnering for best in class Big Data AaaS
Use Case Example
The Big Data AaaS Architecture
Delivery Models
Questions & Answers

15. Cost and business criticality drive the
need for cloud DWH and analytics
Cost-
related
benefits
Business
criticality
Reported benefits for Cloud Computing

16. The delievery model essential
depends on your priorities
Business-critical
Cost-related
Transparency
Availability
Security
Speed
Scalability
Flexibility
Extensibility

17. The right choice of delivery model?
Public, Hybrid, Private.
Business-critical
Cost-related
Community cloud
Private cloud
Hybrid cloud
Public cloud
In-house
operation

18. Three key questions to successful
cloud computing.
 Can I use cloud services or
are there legal concerns?
 Are my solutions cloud-
ready?
 Are my processes suitable
for scalable, demand-driven
IT services?
 Is my company ready for
cloud?
 Is cloud computing
compatible with my sourcing
strategy?
 How do I migrate,
transform and integrate my
applications and data to
the cloud?
 Which business processes
will
I need to reengineer?
 What kind of bandwidth
and network connectivity
do I need?
 How will cloud improve my
business processes and
how much can I save?
 How quickly can I get to
market?
 How transparent will my IT
be?
 How much standardization
will I really achieve?
Which of my Big
Data/DWH services
can I get out of the
cloud? How do I
implement each
step?
What can I expect in
terms of tangible
benefits?

19. Agenda
T-Systems and Teradata –
partnering for best in class Big Data AaaS
Use Case Example
The Big Data AaaS Architecture
Delivery Models
Questions & Answers

20. • Not part of the handout
Case Study

21. Agenda
T-Systems and Teradata –
partnering for best in class Big Data AaaS
Use Case Example
The Big Data AaaS Architecture
Delivery Models
Questions & Answers

22. PARTNERS Mobile App
InfoHub Kiosks
teradata-partners.com
Twitter: @
Email: Christopher.Carter@t-systems.com
Stefan.Schwarz@teradata.com