1. Roman Stanek, Founder & CEO
Good Data Corporation
Business Intelligence meets
Business Infrastructure Soſtware

2. quot;Competing on analytics is
really about making the most of key
processes within your organization.”
Tom Davenport*
Thomas H. Davenport ‐ author specializing in business process innova9on and knowledge
management.

3. “87% Of Business Intelligence
Implementations Fail To Meet
Objectives” NCC*
* The Na9onal Compu9ng Centre (NCC), 25th June, 2007

4. quot;No more than 20% of users in most
organizations use reporting, ad hoc
query, and OLAP tools on a regular
basis.quot; Gartner*
*Emerging Technologies Will Drive Self‐Service Business Intelligence, by Kurt Schlegel. Gartner
Research, ID Number: G00152770. Publica9on Date: 8 February 2008.

5. “It is clear that there are no simple
changes in a typical BI environment - all
changes take significant effort and time
to implement” Forrester*
*BI Workspaces: BI Without Borders Solving An Age‐Old BI Dilemma: Enabling End User Self‐
Service by Boris Evelson

6. Can we make BI agile?
• BI delivered as set of SOA services
• Flexible and governed BI
• Instant provisioning of BI projects/reports
• Managed data and analytics

7. Solution: On Demand BI

8. Good Data: On Demand BI
• Multi-tenant
– Unbeatable cost efficiency
– Sharing of resources (CPU & memory)
• Strict project isolation (security)
• Enterprise Service Bus integration points:
– SOA REST interfaces
– Data feeds
– Single sign-on

9. On Demand BI: What do we get?

10. Simplicity
• Intuitive user environment
– Guided analytics
– Lower training costs
• Self service / less reliance on IT or analysts
• Seamless and more frequent upgrades
– Faster innovation
– No big rollouts

11. Flexibility
• Support business changes with ad-hoc
report creation and modification
• Enable transaction analysis
• Real time reports; no cubes
• Create new revisions on the fly (Wiki
approach

12. Collaboration
• Alignment and visibility
– Comments and annotations
– Easy report distribution (URL)
• Collective intelligence: recommended reports,
tagging, search
• “Many Eyes Make All Data Bugs Shallow”
• Notifications

13. No boundaries
• Visibility and alignment across
– Trading networks
– Cooperative databases
– Distributed teams
– Mobile users
• Consistency and compliance
• Embeddable and mashable

14. Low risk
• Quick Proof of Concept/Pilot (days vs.
weeks/months)
• No up-front payments
• Incremental rollout possible
• Low TCO / true zero maintenance

15. On Demand BI
• Simplicity
• Flexibility
• Collaboration
• No boundaries
• Low risk

16. Questions?
www.gooddata.com