Strategy for implementing a BI solution in a Cloud. The last few years has witnessed a paradigm shift in the way software is deployed and consumed by the enterprise. Economies of scale have driven "cloud computing" to the forefront where computing and software is served as a utility much like power. The emergence of this model has seen a spate of new technologies, virtualization being at the forefront. Sanjay Mehta, CEO, MAIA Intelligence was invited for speaking on Customer Perspective; Strategy for implementing a BI solution in a Cloud on Friday, November 26, 2010 at the Computer Society of India (CSI)'s Annual National Convention 2010 program - iGen - Technologies for next decade.

1. BI Product on cloud
Sharing experiences
Sanjay Mehta – CEO
MAIA Intelligence

2. Introduction
First Indian
Business
Intelligence
Product
Over 20000+
users of the
product
4years young
start up
Creating BI
product on
cloud
Written about in
Gartner, Forbes,
Media on
Innovation
Winner / Finalist for Innovation
and Technology by MICROSOFT,
Nasscom, Red herring, UTV
Bloomberg CXO and …………………..

3. BI Model Comparison
In-house BI
local
resources
IT-
provisioned
user-
operated
Cloud BI
remote
resources
self-
provisioned
user-
operated
Outsource
BI
remote
resources
vendor-
provisioned
vendor-
operated
Cloud wave is
for real ?

4. Does it make sense for Cloud BI
Cloud is good.
Business Intelligence is good.
…so, they must be good together, right?
Good Actor
+ Good Actor
= Great Pair

5. Vendor Pitch for Cloud BI
Traditional BI Cloud Benefits
Need tech skills to set up  Easy to use / no tech skills
Requires IT support  Easy to use / no tech skills
Costly to deploy
 Low cost /
no fixed investment
Time-consuming to implement
 Quick deployment /
easy to change
May be short-term or one-
time project
 Easy to expand
(or reduce) capacity
May require large computing
resources
 Easy to expand
(or reduce) capacity
We
think

6. Customer Mind Set
Security Concerns
Data integration
Reliability
Product lock-in
Promise of BI tools
Do not want
data to move
out of
company
Moving
out data
is
concern
System may not
deliver what is
expected
Unscheduled
downtime
Integration
with other
corporate
systems

7. Aligning the Customer
• often better than in-houseSecurity Concerns
• APIs more availableData Integration
• most BI projects are not mission criticalReliability
• negotiableProduct lock-in
• pick the right solutionPromise of a BI tool
It works !!!!
CLOUD BI
is
happening

8. Technology
• Provisioning
• Functionality
• Scalability
• Complexity
• API /
integration
• Maturity
Product
Offering
• Data access
• Service levels
• Intellectual
property
Professional
services
• Strategy
• Project
management
• Data
integration
• Analytics
Pricing
• Upfront and
ongoing cost
• Impact of
volume
• Contract
period
Getting the BI Product Right
MAIA development
think tank working
on the next
innovation with
CLOUD BI Product

9. Development Paradigm Shift
Need to think fresh,
different for cloud !!!!!!!!!
Porting existing
applications will not work

10. Why 1KEYWEB ?1KEY SaaS Architecture
1KEY
Application
1KEY
Application
1KEY
Application
1KEY
Application
1KEY
Application
Service Delivery Platform Runtime
Access
Control
Billing
Management
(Metering)
SLA Monitoring
CRM
Service
User
1KEY
Metadata
Security
Availability
Identity
Management
Usage
Tracking
Load Balancing Mechanism
Provisioning
Usage
Love what you do
Do what you love
We are trying
We will be glad to take
inputs from you

11. Thank You
• http://www.maia-intelligence.com
• http://blog.maia-intelligence.com
• http://www.facebook.com/MAIA.Intelligence
• http://in.linkedin.com/in/bisoftware
• http://www.maia-intelligence.com/bi-group.htm