Transcript iDecisions_MS Cloud

iDecisions™
 Packaged Analytic Applications
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Data Model & Meta Data
Analytical Engines
Report Templates
Dashboard Templates
 Industry focused
 Built based on experience
 Incorporates industry best practices in
iDecisions enabled
end-to-end BI
solutions can be
offered on cloud and
Mobile platforms
KPIs, analytical templates and
dashboards
 Technology Neutral
An IP of Mahindra Satyam
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iDecisions™ - breadth of solutions
TM
iDecisions™
iDecisions for Banking
Domain specific
business content
Banking
Telecom
Education
Insurance
Pharma
Airlines
Manufacturing
Retail
Healthcare
Travel &
Logistics
Enterprise wide
Sales
Enablers
 Processes
 Models
 Technology
component
Metadata
Management
Procurement
Financial
Analytical
Applications
Customer
HR
Green and
Sustainability
Solutions
Predictive Analytics
Data Structures
iDecisionsTM is a pre-packaged solution / framework and hence appropriate components
can be used to embrace and enhance what is already available. For example, the analytical
applications layer or engine layer or data mining models can be used if the DW already
exists.
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iDecisions™ - Value Proposition
Global best business practices through multiple BI implementations
worldwide / inputs from SME’s and external consultants
Flexible
Technology Agnostic & Platform Independent
Highly customizable and Scalable
Modular
Reduced risk of failed BI implementation
Reduced time to market
Solution Delivery modes
Delivery on cloud
On-premise
Cloud
Enabled on Mobile
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SOaaS (Solution as a Service) Overview
Fundamentals
Scale out
Automated Service
Management
High Availability
Multi-tenancy
Considerations
Off premises
LOCATION
On premises
Homogeneous
INFRASTRUCTURE
Heterogeneous
Opex
BUSINESS MODEL
Capex
Lease/Rented
OWNERSHIP
Owned
Third Party
MANAGEMENT
Self
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BI as SOaaS
BI Application
Users
Source Data from
Customer
Data required for the BI solution
is loaded through web interfaces
Internet
Access Analytics, Reporting,
Ah-hoc queries on demand
through Web Interface
Reporting
Analysis
A BI solution hosted in
Mahindra Satyam’s own
Data Center /third party
data center
Dashboard
Data
Warehouse
Analytics
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Why BI on SOaaS?
On-Demand
Traditional
Utility (Plug-in,
Software
subscribe, pay per
(Build your own)
use)
A. Low TCO
•The cloud computing, open source platform and shared service
model reduces the TCO with better service than internal IT
departments
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Low TCO
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Easy
Upgrades
Quick
Deployment
Solution
Customizati
on
Web Centric
Delivery
B. Quick Deployment
•Ready BI framework with domain and technology experts available
C. Easy Customization
•Mahindra Satyam provides end-to-end implementations,
application maintenance, integrations & customizations
BI on
SOaaS
SLA’s
Subscription-based BI Solution - Pay as you use
Low risk - No large, upfront license fee (since you subscribe
instead of developing Solution)
No infrastructure required - Data Center manages the
infrastructure
D. Web Centric Delivery
•Web centric BI product results in less complicated UI and products
features which can be delivered through browser
E. SLA
•On-premise BI solution needs a lot of infrastructure & software
support. However, on Demand BI set free control on Infrastructure ,
software and services; and thus SLAs can be managed very easily
F. Upgrades
•In this model, an upgrade to new version is smooth as it is
managed in the background at non-customer location
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iDecisionsTM Elastic Cloud Solution Architecture
on Microsoft BI Stack
Scale up Supported by
Database design
Schema design
Physical design
Hardware selection and
configuration
Software selection and
configuration
Data loading
Query specification and
tuning
2012
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SQL 2012 BI Semantic Model with iDecisions:
Architecture
Third-party
applications
Databases
Reporting
Services
LOB Applications
Excel
Power Pivot
Files
Data Feeds
SharePoint
Insights
Cloud Services
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iDecisions Elastic Solutions For Cloud
VPN/HTTPS
SSIS /
Microsoft Sync
Framework
2012
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Pricing Model Parameters
The TCO is a combination of onetime Setup cost and a Pay per Use Monthly cost
Computing & Availability
• Support (# Hours,
24/7)
• SLA Level
• DR Requirements
• HA Requirements
• Response Time
• No Of user and
concurrent users
Storage
Bandwidth
• Storage Size
• Data Security/
Encryption Needs
• Data Redundancy
and Replication
• Database Clustering
• Data Backup
• SLA Level
• DR Requirements
• Internet Requests
and Responses
(Data Size - In and
Out)
• Data Access
Requests (Data Size
- In and Out)
BI Requirements
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# Reports
# Dashboards
#Scorecards
# Analytical Models
# ETL Jobs
Data mart Size
Data Loading
frequency
• Multi-Tenant/
Dedicated
Infrastructure
• # of Source
Systems
Other Parameters: Infrastructure Specs, Software Licenses, Infrastructure Setup, Contract Duration
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Thank you
mahindrasatyam.com
Safe Harbor
This document contains forward-looking statements within the meaning of section 27A of Securities Act of 1933, as amended, and
section 21E of the Securities Exchange Act of 1934, as amended. The forward-looking statements contained herein are subject to
certain risks and uncertainties that could cause actual results to differ materially from those reflected in the forward-looking
statements. Satyam undertakes no duty to update any forward-looking statements. For a discussion of the risks associated with our
business, please see the discussions under the heading “Risk Factors” in our report on Form 6-K concerning the quarter ended
September 30, 2008, furnished to the Securities and Exchange Commission on 07 November, 2008, and the other reports filed with
the Securities and Exchange Commission from time to time. These filings are available at http://www.sec.gov
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