1 © Mahindra Satyam 2011 iDecisions™  Packaged Analytic Applications –Data Model & Meta Data –Analytical Engines –Report Templates –Dashboard Templates  Industry focused  Built based on experience  Incorporates industry best practices in KPIs, analytical templates and dashboards  Technology Neutral  Packaged Analytic Applications –Data Model & Meta Data –Analytical Engines –Report Templates –Dashboard Templates  Industry focused  Built based on experience  Incorporates industry best practices in KPIs, analytical templates and dashboards  Technology Neutral An IP of Mahindra Satyam iDecisions enabled end-to-end BI solutions can be offered on cloud and Mobile platforms

2 © Mahindra Satyam 2011 iDecisions TM 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. iDecisions TM for Banking iDecisions™ Banking Airlines Telecom Manufacturing Education Retail Domain specific business content Sales ProcurementFinancial Enterprise wide Customer Enablers  Processes  Models  Technology component Metadata Management Data Structures Analytical Applications Predictive Analytics Insurance Healthcare Pharma Travel & Logistics HR iDecisions™ - breadth of solutions Green and Sustainability Solutions

3 © Mahindra Satyam 2011 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

4 © Mahindra Satyam 2011 SOaaS (Solution as a Service) Overview LOCATION INFRASTRUCTURE Scale out Automated Service Management High Availability Fundamentals Off premises Homogeneous Opex Lease/Rented Third Party On premises Heterogeneous Capex Owned Self Considerations BUSINESS MODEL OWNERSHIP MANAGEMENT Multi-tenancy

5 © Mahindra Satyam 2011 Source Data from Customer Internet Data required for the BI solution is loaded through web interfaces Data Warehouse Reporting Dashboard Analysis Analytics Access Analytics, Reporting, Ah-hoc queries on demand through Web Interface A BI solution hosted in Mahindra Satyam’s own Data Center /third party data center BI Application Users BI as SOaaS

6 © Mahindra Satyam 2011 Why BI on SOaaS? BI on SOaaS Low TCO Quick Deployment Solution Customizati on Web Centric Delivery SLA’s Easy Upgrades A. Low TCO The cloud computing, open source platform and shared service model reduces the TCO with better service than internal IT departments 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 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 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 On-Demand Utility (Plug-in, subscribe, pay per use) Traditional Software (Build your own)

7 © Mahindra Satyam 2011 iDecisions TM 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 tuning2012

8 © Mahindra Satyam 2011 Third-party applications Reporting Services Excel Power Pivot DatabasesLOB ApplicationsFilesData FeedsCloud Services SharePoint Insights SQL 2012 BI Semantic Model with iDecisions: Architecture

9 © Mahindra Satyam 2011 VPN/HTTPS iDecisions Elastic Solutions For Cloud SSIS / Microsoft Sync Framework 2012

10 © Mahindra Satyam 2011 Pricing Model Parameters The TCO is a combination of onetime Setup cost and a Pay per Use Monthly cost Support (# Hours, 24/7) SLA Level DR Requirements HA Requirements Response Time No Of user and concurrent users Computing & Availability Storage Size Data Security/ Encryption Needs Data Redundancy and Replication Database Clustering Data Backup SLA Level DR Requirements Storage Internet Requests and Responses (Data Size - In and Out) Data Access Requests (Data Size - In and Out) Bandwidth # Reports # Dashboards #Scorecards # Analytical Models # ETL Jobs Data mart Size Data Loading frequency Multi-Tenant/ Dedicated Infrastructure # of Source Systems BI Requirements Other Parameters : Infrastructure Specs, Software Licenses, Infrastructure Setup, Contract Duration

11 © Mahindra Satyam 2011 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 Thank you