TDWI India Chapter 2011 Feb 05 Hosted at Intel, Presentation from Hari Prasad, Devarapalli, TCS

1. What is BI on Cloud?
- Hari Prasad Devarapalli

2. Agenda
Business and Business Intelligence (BI)
Cloud Computing
Business Intelligence on cloud
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3. Agenda
Cloud Computing
Business Intelligence on cloud
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4. Business goal : A Self-Optimizing Enterprise
Efficiency
Q: Business & IT Error Rate
Reduction
C: Reduction in Business &
IT Costs
Internal Efficiency
T: Process FTE & Cycle-Time
Agility
Reduction Problem/Change Impact Analysis
Time
Process Cycle-Time Reduction
Time-To-Market Improvement
External Efficiency Adaptability
(Agility and Adaptability) Change Impact Analysis &
Response Time
Business & Infrastructure Service
Reuse
Level of Process Standardization
Continuously adapt your business processes
to seize opportunities quickly and efficiently in a dynamic marketplace
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5. Business Intelligence
• Reporting tools, analytics, dashboards, scorecards, data
BI Is User- modeling, data warehouse, data mining, online analytical
Defined and processing (OLAP), or performance management. It is all of
Scalable those, and more.
• Each product may do some things, but not necessarily all of
them; however BI can deliver many, if not all of them. When
The BI Market considering a BI platform, it's important to learn about BI's
Is Saturated many embedded features and create a prioritized list for your
own organization.
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6. Business Intelligence
• Business Intelligence platforms take a horizontal
approach to data that supports many vertical
applications - including most of those listed above in item
It's Horizontal, number one.
Not Vertical
• Every organization or application with data has a
potential case for using BI, no matter how many vertical
uses or applications might be involved
• This initial learning can include drilling down to a report,
adding summarizations, or learning the best way to
display data visually. For example, in data mining you
BI's Feature may need to learn about clustering, decision trees, or
Set Is Complex regression, all-powerful features that require a higher
learning curve than out-of-the box solutions. However,
BI's benefits do outweigh the difficulties.
TCS Confidential 9 February 2011

7. Business Intelligence
• Most business applications are available as software solutions-fit
for specific purposes and ready to use right out of the box.
BI Is a • Most Business Intelligence applications rely on platforms where
Platform, Not technical users build specific solutions in a development
a "Solution" environment.
• There are a few BI vendors who are moving toward solution-
based applications.
• Data that is stored and used for Business Intelligence can be
either standardized for transactional systems or optimized for
reporting and analysis.
BI's Data • BI is flexible and can provide good results using many different
Structure Is structures. Although most business applications rely on
Flexible transactional structures for speedy record processing, in BI it can
be modeled as relational, dimensional, or a hybrid that might be
ROLAP (Relational) or MOLAP (Multidimensional).
TCS Confidential 9 February 2011

8. Business Intelligence
• Most business applications are specific to standard business
User processes-something users are already comfortable with.
However, Business Intelligence is very flexible and doesn't follow
Adoption
any specific, prescribed process. Users have the ability to explore
Can Be the data and develop reporting tools as they choose. This is a huge
Challenging benefit that can also present challenges and intimidate many users
preventing them from fully adopting a BI solution.
• Because Business Intelligence is complex, flexible in structure,
and platform-based, it depends more on IT than most business
BI Requires IT
applications. Organizations where business users and IT resources
Involvement work together will experience a much greater overall success rate
with Business Intelligence.
TCS Confidential 9 February 2011

9. Agenda
Business and Business Intelligence (BI)
Business Intelligence on cloud
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10. What is Cloud Computing?
TCS Definition
• A Cloud is a set of IT optimization techniques rolled into capabilities offered as a shared service to
customers, providing extremely large scale through a very simple and easy-to-consume interface,
in an extremely granular, usage-based pricing model
Characteristics (from NIST)
• Pay-Per-Use
• On-demand Self-Service
• Ubiquitous Network Access
• Resource Pooling
• Location Independence
• Homogeneity
• Rapid Elasticity
• Measured Service
Service Models
• Software as a Service (SaaS)
• Platform as a Service (PaaS)
• Infrastructure as a Service (IaaS)
Deployment Models
• Private Cloud
• Public Cloud
• Hybrid Cloud
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11. Cloud Delivery Models
IT Level System administration, obtain general Amazon Web Services, IBM,
processing, storage, database management, GoGrid, Sun Grid Compute Utility,
“Infrastructure-as- and other resources and applications through Google Base, …
a-Service” the network and pay only for what gets used
Developers can design, build and test Azure Services Platform, Oracle
Developer Level applications that run on the Cloud provider’s SaaS platform, Coghead,
“Platform-as-a- infrastructure and then deliver those force.com, Yahoo developer
network, Google App Engine, …
Service” applications to end-users from the providers
servers.
Companies host applications in the cloud that Google Docs, acrobat.com, Zoho,
User Level salesforce.com, animoto, Oracle
many users access through internet
“Software-as-a- connections. The services being sold or offered
on demand, Windows Office Live,
…
Service” is a complete end-user application
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12. What does pay-as-you-go mean?
Service Typical Unit of Measure Typical values
Model
SaaS Per user per month No norm. The vendor is free to set
Per location per month, etc. his pricing and the unit of measure!
PaaS Per GB per month for DBs 10 USD/GB-month
Per connection per month for
integration layer
Data Transfer In/Out
IaaS Instance-hours per month 10 cents/hour
Data Transfer in/Out 10 cents/GB – in, 15 cents/GB-out
GB per month for storage 10 cents/GB-month
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13. Cloud Computing Deployment Models
Public Cloud
• Mega-scale Infrastructure and Services
• Sold publically
• Pay-Per-Use
• Multitenant applications and services
• Access virtually unlimited resources
Private Cloud
• Finite Infrastructure and Services
• Enterprise owned or leased
• Charge-back to LOBs or Users
• Cloud Computing model in a company's own datacenter or providers
• Access limited resources that must be managed by LOBs or Central IT.
Hybrid Cloud
• Composition of two or more clouds
• Mixed usage of both public and private clouds
• Enables application components to be spread between multiple public and/or
private clouds.
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14. Cloud Deployment Models
Source: Security Guidance for Critical Areas of Focus in Cloud Computing, Cloud Security Alliance, April 2009
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15. Amazon Web Services™ Customer Agreement
Source: http://aws.amazon.com/agreement/ - Updated December 6, 2010 and retrieved on 3rd Feb 2011
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16. Benefits & Challenges in Cloud
• Benefits : Challenges/Risks :
Agility * Confidentiality
* Integrity
No Capex.
* Availability
Scalability
* Multitenant s/w/resources.
dynamic provisioning,
* Policy migration
location independent availability, * Auditing limitations
Pay Per use. * Changing cloud vendor
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17. Agenda
Business and Business Intelligence (BI)
Cloud Computing
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18. Typical Use Case for Cloud
• Infrastructure Transformation • High Performance Computing
• SaaS (e-mail, collaboration, etc.) • POCs
• Dev and Test • Backup
• Hosted solutions • DR
• Content Delivery Networks • VPCs / Private Clouds
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19. Advantages of Cloud over hosted Service
• Massive computing power on
Demand demand available immediately
Unlimited • Infinitely scalable on demand
and resources can be released
Elasticity as well when not required
Low cost of • Pay as you use for minutes ,
hours or days based on
ownership, capacity used. Affordable
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20. Cloud BI Platforms
• Informatica Cloud
• Microsoft
• SAP
– SAP BusinessObjects OnDemand
• IBM
– Cognos Business Intelligence 10.1 on the cloud.
– Blue Insight, IBM’s own business intelligence (BI) and analytics private cloud
deployment
• Oracle
– Cloud ready Business Intelligence with Oracle Business Intelligence 11g
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21. SaaS BI Pure Play vendors
SaaS-based end-to-end BI and data integration platform.
It provides customers with the option of either uploading data to Birst or leaving
data locally, with only the analysis happening in the cloud.
the analytic platform uses a proprietary columnar data structure, allowing granular
data to be stored to support extensive analysis of KPIs.
an open platform integration strategy that will allow its clients to access data
now stored in its system and combine it with other data in the enterprise for
combined analysis and reporting.
built-in business user-oriented statistical capabilities for identifying trends,
forecasts with error ranges, and patterns with support for drilling into the data
while context is maintained to identify the root cause of a problem. Moreover,
users can perform real-time what-if analysis to determine the impact of various
scenarios, while alerts are shown based on variance from goals or best practice.
TCS Confidential 9 February 2011

22. SaaS BI Pure Play vendors
Uses a proprietary columnar data structure, allowing
granular data to be stored to support extensive analysis of
KPIs.
Data Warehouse as a Service (DWaaS)
Business Intelligence as a Service (BIaaS)
Data Integration as a Service (DIaaS)
The Oco product is used to augment installed BI
capabilities already in place.
The company has designed an innovative data model that
supports standard analysis for supply chain, sales,
marketing, customer and finance operations, but will also
work with clients to build out customized analytic
applications tailored to their needs.
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23. Cloud Platforms for Business Intelligence
RightScale is the cloud management platform that manages the underlying cloud
infrastructure
Clients: Sibblingz a virtul world platform
CrowdStar a Facebook based social gaming company,
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24. Analyst Groups Analysis
• .
IDC
• A new IDC report finds the SaaS BI market will experience triple the growth of
the market overall, soaring at a compound annual growth rate of 22.4
percent through 2013, although actual revenue totals will remain small
compared to on-premise BI applications
Gartner
• According to research conducted by Gartner, BI platform SaaS and cloud
adoption is currently very low, with only around 30% of the current users of
BI expecting to adopt either SaaS or cloud in the future. Gartner inquiries
suggest that BI SaaS has had the most adoption in specific analytic application
areas, such as Web analytics or social media analytics, or embedded as part of
other SaaS applications. As data volumes become extreme and must be
combined with internal and cloud-based sources, the need for on-demand
scalability may change the trajectory of demand and growth for BI platform
SaaS and cloud.
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25. Thank You
TCS Public 9 February 2011

26. TCS Analytics Platform BPO Solution
Analytics
•Customer Analytics
•Data Mining & Predictive Analytics
•Finance & Accounting Analytics
•Human Capital Analytics
•IT Analytics TCS Analytics Platform BPO Solution
•Supply Chain Analytics
•Retail & CPG Analytics
•Other Industry Vertical Analytics
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27. TCS Analytics Platform BPO Solution
• Exponential growth in data volumes coupled with the need for timely, better & deeper
Business Drivers insights
• Increased acceptance & adoption of SaaS solutions in the market to drive down costs
• Understanding customer behavior becoming key for organization’s success
To provide cost-effective, value enhancing analytics outsourcing solutions that helps
Objective organizations build customer intimacy, reduce customer churn, reduce operating cost,
increase revenue and provide excellent customer experience
Solution
• Each offering comes
with pre-built industry
standard data model,
KPIs, role based
dashboards/reports,
ETL scripts, data
integration templates
• Service oriented Core
Platform Architecture
• Integrated Advanced
Analytics
• Analytics Shared
Services/KPO
• Unique “Powered by Oracle” Analytics BPO alliance in the world
Value Proposition • World class analytics; Comprehensive, fully managed, hosted and integrated solution integrating BI, PM
and advanced analytics
• TCS investments in prebuilt multi-tenant -
- 27 solution; Global shared services DW, BI and Advanced Analytics
TCS Public 9 February 2011
competency center

28. Key Characteristics
• Agility - improves with users able to rapidly and inexpensively re-provision technological
infrastructure resources
• Cost (Pay as You Go) – cost is greatly reduced and capital expenditure is converted to
operational expenditure . Also you can convert fixed cost to variable.
• Device and location independence - enable users to access systems using a web browser
regardless of their location or what device they are using, e.g., PC, mobile.
• Multi-tenancy - enables sharing of resources and costs among a large pool of users, allowing for:
– Centralization of infrastructure in areas with lower costs (such as real estate, electricity, etc.)
– Peak-load capacity increases (users need not engineer for highest possible load-levels)
– Utilization and efficiency improvements for systems that are often only 10-20% utilized.
• Reliability - improves through the use of multiple redundant sites, which makes it suitable for
business continuity and disaster recovery .
• Scalability - via dynamic ("on-demand") provisioning of resources on a fine-grained, self-service
basis near real-time, without users having to engineer for peak loads.
• Sustainability comes about through improved resource utilization, more efficient systems, and
carbon neutrality. Nonetheless, computers and associated infrastructure are major consumers of
energy
• Virtualized: Applications are decoupled from the underlying hardware. Multiple applications can
run on one computer (virtualization a la VMWare) or multiple computers can be used to run one
application
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29. Cloud Computing Concerns
 Loss of control
 Integration: enterprise & federated authorization
 Interoperability: with key enterprise applications
 Accessibility and UI limitations of web apps
 Reliability, performance, security; offline access
 Features; changes; vendor lock-in
 Policy/compliance concerns (privacy)
 Breach forensics and mitigation
 Business “surprises”;
 Support; More Logins
 Consequences of “Creative Destruction”
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