Cwin16 tls-partner-sas new-open_analytics_platform

Toulouse, 29/09/2016, SAS
A new, open platform.
Built for analytics innovation.

Presentation Title | Date
Copyright © 2016 Capgemini and Sogeti. All rights reserved. 2
Table of Contents
 Introduction
 Fundamental architectural principles
 Technical differentiators

Copyright © 2016, SAS Institute Inc. All rights reserved.
SAS is the leader in analytics. Through innovative analytics, business
intelligence and data management software and services, SAS helps
customers at more than 80,000 sites make better decisions faster. Since 1976,
SAS has been giving customers around the world THE POWER TO KNOW®.

SAS Analytics in Action
Data
DeploymentDiscovery
To get VALUE out of any analytics
endeavor, 3 key components have
to be considered:
• DATA;
• DISCOVERY; and
• DEPLOYMENT.

Data is the foundation

What we do with Data: DISCOVERY
Visualization
Prediction
Machine Learning
Optimization

How we Operationalize the results: DEPLOYMENT
Data Warehouse
CRM / Call Center
Mobile Channel
Devices

SAS Analytics in Action – Key Aspects
Data
DeploymentDiscovery
SAS is Uniquely Positioned
Analytics in Action
• To Enable and Empower the activities
required around Data, Discovery and
Deployment;
• To create overlaps between Data,
Discovery and Deployment, where
competitors have gaps;
• To Fully Realize every step in the
Analytics Life Cycle;
• To maximize value from your…

SAS Analytics in Action – Integrated Approach
Analytics in Action
Deployment;

SAS Analytics in Action – Analytics Life Cycle
Analytics in Action
Deployment;

SAS Analytics in Action
Data
DeploymentDiscovery
Analytics in Action
Deployment;

SAS Analytics in Action – Use cases
Machine Learning
Text Analytics
Approachable
Analytics
Adaptive Data Management
Decisions at Scale
StreamingAnalyticsforIoT
ITastheEnterpriseAnalyticsEnabler
Embrace&ExtendOpenSource
Embrace&ExtendOpenSource

Typical questions from customers
CIO/CTO/CEO :
« Can you help me with my modernization strategy or
initiative underway ? »
CAO/VP Analytics :
« I’m using open source technologies but i’m struggling to
operationalize it in my analytics efforts. Can you help me to
overcome some of the obstacles i’m addressing ? »
CIO/CTO :
« I have issues with non-standard analytics practices in my
organization. How to cope with this situation ? »

Our R&D journey
SAS
®
High-Performance
Architecture
2010
SAS
®
In-Memory
Analytics
Server
2011
SAS
®
3rd Generation
Massively
Parallel
Architecture
2013
Development
Timelines

Multi-vendor architecture
MVS
Windows
AIX
HP-UX
Solaris
SunOS Linux
Tru64
IRIXOS/2

MVS
Windows
AIX
HP-UX
Solaris
SunOS Linux
Tru64
IRIXOS/2 Google
Cloud
Platform

• Encourage, foster, and capture
innovation
• Turn innovation into disruption
• Create repeatable, auditable
processes
• Create new business and
engagement models
• Anticipate and address
customer needs
• Remain vigilant: efficient,
compliant, secure
Established OrganizationsInnovators & Disruptors
Outlive the hype and establish permanence Fuel innovation, maintain success, and avoid risk

SAS®
viya™
A new, open platform.Built for analytics innovation.
• Enabling
• APIs & Services
Deploy, Provision, Use
Self-service
Innovative
• Analytical Lifecycle
• Governance
• Integrated
Capability & Consumption Based
Private & Public
Elastic
• Languages

Parallel&Serial,Pub/Sub,
WebServices,MQs
Source-based
Engines
Microservices
UAA
Query
Gen
Folders
CAS
Mgmt
Data
Source
Mgmt
Analytics
GUIs
etc.…
BI
GUIs
Env
Mgr
Model
Mgmt
Log
Audit
UAAUAA
Data
Mgmt
GUIs
In-Memory
Engine
In-Cloud
In-Database
In-Hadoop
In-Stream
Solutions
APIs
Infrastructures
Platforms
SAS®
Viya™
Platform : high level architecture
Analytics
Data ManagementFraud and Security
Intelligence
Business Visualization
Risk Management
!
Customer Intelligence
Cloud Analytics Services (CAS)

SAS® Viya™ Platform : key characteristics in a unified platform
Hyper-distributed
computing
(concurrent processes)
Charge-back
resource
management
“Always On”
high
availability
Open
architecture
In situ updating
and
maintenance
Redundancy and
spillover for
failover
Read any data, run
big data, use any O/S,
and achieve rapid
results… all in the
cloud or on-
premise!!!
Designed specifically for
running iterative
machine learning

OPEN PLATFORM
SYSTEMS & APPLICATIONS
SAS EVENT STREAM PROCESSING : streaming analytics in action
ECOSYSTEM INTEGRATION (300+ ENDPOINTS)
PUBLISH & SUBSCRIBE API
CONNECT TO ANY SYSTEM WITH JAVA, C++, PYTHON
FULLY DOCUMENTED AND EASY TO USE
RendezVous
STANDARDS
FILE/SOCKET
XML / JSON
ODBC
JMS
MQTT
SYSLOG
DB LOG SNIFFERS
HTTP RESTFUL
SMTP
NETWORK SNIFFERS
WEB SERVICES
*
SAS® Event Stream Processing description link

SAS®
Viya™
open to other coding languages

SAS®
9
• SAS®
9 data accessible within SAS®
Viya™
• SAS®
Viya™
models publishable to SAS®
9
• Remotely execute code from / to both
• More bridges planned
Bridging SAS®
9 and SAS®
Viya™
Data Code DataModel ModelModelCodeData
Innovation with interoperability with existing SAS systems

Expand analytic
toolkit. Code in
the language of
your choice.
Scale methods
without
redefining code.
Easily wrangle
data.
Interactively
interrogate.
Discover insights
through visual
interface.
Embed SAS
analytics in
applications.
Documented,
public REST
APIs.
Centralized
management of
analytic assets.
One governed
environment.
Multi-cloud for
flexibility.
Failover
protection.
Guided
workflows.
Visual interface
accelerate
investigations.
Analytic
intelligence
built-in.
Consistent,
trustworthy
answers. Use
current hardware
and extend
existing skills
sets. Nurture
innovation for
production.
Innovation for a wide range of analytic users

SAS®
Viya™
market Differentiation
Open platform with a common code base that is…
• Executable anywhere (in-Memory, in-Database, in-Hadoop,
in-Cloud, in-Stream, in-Device)
• Portable to any IT environment (desktop, server, grid, cluster,
or cloud)
• Accessible from third party applications
• Available in any public / private cloud
• Capable of management and inventory of all analytics assets
• Infused with sophisticated and native search that does not
require pre-defined schemas in applications
Support for the Analytics Lifecycle
• Data Management
• Visual Data Exploration
• Interactive Discovery
• Advanced Analytics
• Model Versioning & Inventory
• Decision Management
• Reporting
• Dashboards

SAS® visual data mining and machine Learning : available resources
 SAS® Viya™ Product Web Page
 Factsheet
 Brochure
 Documentation
 VDMML Community
 Videos
SAS Visual Data Mining and Machine Learning
https://youtu.be/X0AU4gDUc_Y
SAS Visual Data Mining and Machine Learning with Python
https://youtu.be/LXoikPWQJ3o
‘How do I’ videos
http://support.sas.com/training/tutorial/viya/index.html

www.capgemini.com
The information contained in this presentation is proprietary.
Copyright © 2016 Capgemini and Sogeti. All rights reserved.
Rightshore® is a trademark belonging to Capgemini.
www.sogeti.com
About Capgemini and Sogeti
With more than 180,000 people in over 40 countries, Capgemini is a
global leader in consulting, technology and outsourcing services. The
Group reported 2015 global revenues of EUR 11.9 billion. Together
with its clients, Capgemini creates and delivers business, technology
and digital solutions that fit their needs, enabling them to achieve
innovation and competitiveness. A deeply multicultural organization,
Capgemini has developed its own way of working, the Collaborative
Business Experience™, and draws on Rightshore®, its worldwide
delivery model.
Sogeti is a leading provider of technology and software testing,
specializing in Application, Infrastructure and Engineering
Services. Sogeti offers cutting-edge solutions around Testing,
Business Intelligence & Analytics, Mobile, Cloud and Cyber
Security. Sogeti brings together more than 23,000 professionals in
15 countries and has a strong local presence in over 100 locations
in Europe, USA and India. Sogeti is a wholly-owned subsidiary of
Cap Gemini S.A., listed on the Paris Stock Exchange.

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