The Briefing Room with Colin White and Jaspersoft Slides from the Live Webcast on June 12, 2012 As the corporate appetite for analytics and reporting grows, companies must find a way to secure a strategic view of their information architecture. End users with varying degrees of expertise need a wide range of data and reports delivered in a timely fashion. As the audience for analytics expands, that puts pressure on IT infrastructure and staff. And now with the promise of Hadoop and MapReduce, the organization's desire for business insight becomes even more significant. In this episode of The Briefing Room, veteran Analyst Colin White of BI Research will explain the value of being strategic with enterprise reporting. White will be briefed by Karl Van den Bergh of Jaspersoft, who will tout his company's “data funnel” concept, which is designed to strategically manage an organization's information architecture. By aligning information assets along this funnel, IT can effectively address the spectrum of analytical needs – from simple reporting to complex, ad hoc analysis – without over-taxing personnel and system resources.

2. Eric.kavanagh@bloorgroup.com
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3. ! Reveal the essential characteristics of enterprise
software, good and bad
! Provide a forum for detailed analysis of today s
innovative technologies
! Give vendors a chance to explain their product to
savvy analysts
! Allow audience members to pose serious questions...
and get answers!
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4. ! June: Intelligence
! July: Disruption
! August: Analytics
! September: Integration
! October: Database
! November: Cloud
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5. ! Business Intelligence technologies are designed to let
organizations take all their capabilities and convert them
into knowledge, ultimately getting the the right information
to the right people at the right time.
! BI tools are not just for business analysts these days. More
people want access to more data, and that data tends to
come from increasingly disparate sources.
! Everyone within an organization – from the analyst to the
business user – needs to have access to all the data, from
any source, on any device.
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6. Analyst: Colin White
Colin White is the president of DataBase
Associates Inc. and founder of BI Research.
As an analyst, educator and writer he is
well known for his in-depth knowledge of
data management, information
integration, and business intelligence
technologies and how they can be used for
building the smart and agile business. With
many years of IT experience, he has
consulted for dozens of companies
throughout the world and is a frequent
speaker at leading IT events. Colin has
written numerous articles and papers, and
for ten years he was the conference chair
of the DCI and Shared Insights Portals,
Content Management, and Collaboration
conference.
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7. ! Delivers a scalable, cost-effective, self-service
business intelligence suite
! Offers a commercial open source business model
! Built for Cloud, Mobile and Big Data environments
! Has a large developer community
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8. Karl Van den Bergh is the Vice President of
Product and Alliances at Jaspersoft. Karl is a
seasoned executive with 18 years experience
in software, hardware, open source and SaaS
businesses, both startup and established. Prior
to Jaspersoft, Karl was the VP of Marketing
and Alliances at Kickfire (now part of
Teradata), a venture-funded data warehouse
appliance startup. He also spent seven years
at Business Objects, where he held
progressively senior leadership positions in
product marketing, product management,
corporate development and strategy. Karl
started his career as a software engineer.
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9. Getting to Pervasive BI
through Changes in the Data
Funnel
Karl Van den Bergh, Vice President Product & Alliances

10. The Promise of Business Intelligence
The Promise +
The Reality “…within Industry Average
Companies, 25% use a BI
Solution”
©2012 Jaspersoft Corporation. Proprietary and Confidential 10

11. A Big Market and Growing
“Analytics software market is on tap to hit $33.9B in 2012,
up 8.2% from 2011.”
2012 Analytics Software Tracker
“Analytics and Business Intelligence will be the top
technology priorities for CIOs in 2012.”
2012 Global Survey of 2300 CIOs
©2012 Jaspersoft Corporation. Proprietary and Confidential 11

12. The Problem with BI Today
Business Users Can’t Self-Serve
§ Too complex, not accessible or contextual
BI Builders Can’t Scale
§ Particularly in the New IT World
©2012 Jaspersoft Corporation. Proprietary and Confidential 12

13. The New IT World
“Tectonic shifts are occurring in today’s enterprise IT
environment, powered by mega-forces such as
globalization and commoditization – and also driven by
consumer technologies.” - Geoffrey Moore, 2010
§ New user requirements: Consumerization
§ Enterprise consumers want apps that are beautiful, interactive, contextual
§ New technology requirements: Cloud
§ There is a new IT stack that is centered on the Cloud, managing Big Data
§ New business requirements: Cost
§ Top considerations for any new project are cost and time-to-value
©2012 Jaspersoft Corporation. Proprietary and Confidential 13

14. Solution: Self-Service BI at SCALE
All Users
SCALE All Questions
All Infrastructure
Platform Self-Service
Vendors BI at SCALE
SELF-SERVICE
Any User
Any Device
Niche Visualization Any Context
Vendors Vendors
©2012 Jaspersoft Corporation. Proprietary and Confidential 14

15. The Data Funnel Today
Traditional Data Funnel
Data Production
What About
• Small Scale, Structured Data
Scale?
• On-premises
Developer
Data Manipulation
• RDBMS
• ETL & SQL
Data Architect
Data Analysis
• OLAP & Metadata
• Pivot Tables & MDX
Data Analyst
Data Viewing
• Static Reports & Dashboards
• Desktop & Browser
Casual User
©2010 Jaspersoft Corporation. Proprietary and Confidential 15

16. The Data Funnel for Pervasive BI
New Data Funnel
Data Production
• Large Scale, Structured, Multi-structured Data
• On-premises & Cloud
Developer
Data Manipulation
• RDBMS, ADBMS, Hadoop, NoSQL
• ETL, SQL, Scripting
Data Architect
Data Analysis
• OLAP & Metadata
What About
• Pivot Tables & MDX Self-Service?
Data Analyst
Data Viewing
• Static Reports & Dashboards
• Desktop & Browser
Casual User
©2010 Jaspersoft Corporation. Proprietary and Confidential 16

17. The Data Funnel for Pervasive BI
New Data Funnel
Data Production
• Large Scale, Structured, Multi-structured Data
• On-premises & Cloud
Developer
Data Manipulation
• RDBMS, ADBMS, Hadoop, NoSQL
• ETL, SQL, Scripting
Data Architect
Data Analysis
• OLAP, Metadata & In-Memory
• Pivot tables, MDX & Visualizations
Data Analyst
Data Viewing
• Interactive, Contextual Reports & Dashboards
• Desktop, Browser & Mobile Devices
Casual User
©2010 Jaspersoft Corporation. Proprietary and Confidential 17

18. Example of Self-Service BI for All Users
ANY USER
ANY DEVICE
ANY CONTEXT
©2012 Jaspersoft Corporation. Proprietary and Confidential 18

19. Scalable on the New IT Stack
SCALE IN CLOUD
SCALE FOR BIG DATA
SCALE ON MOBILE
©2012 Jaspersoft Corporation. Proprietary and Confidential 19

20. Deployed by 10,000s of Organizations
16M Downloads (3K/day). 275K Community. 175K Deployments. 15K Customers.
Software & Technology Public Sector Healthcare/Pharmaceu-cal
Travel & Transportation
Financial Services Telecommunications
Retail/CPG
©2012 Jaspersoft Corporation. Proprietary and Confidential 20

21. Fast Growing with Strong Recognition
Accelerated Year-over-Year Growth Broad Industry Recognition
Magic Quadrants
Q1-09
Q2-09
Q3-09
Q4-09
Q1-10
Q2-10
Q3-10
Q4-10
Q1-11
Q2-11
Q3-11
Q4-11
Q1-12
©2012 Jaspersoft Corporation. Proprietary and Confidential 21

22. A New Data Funnel for Pervasive BI
§ Scaling true self-service BI will lead to pervasive BI
§ SCALE: all users, all questions, all infrastructure
§ SELF-SERVICE: any user, any device, any context
§ Scale requires data funnel changes
§ Large data volumes of multi-structured data
§ Scale-out deployments
§ Scale-out data stores
§ Programmatic data manipulation
§ Self-service requires data funnel changes
§ In-memory for fast response times
§ Visualizations for easier understanding
§ Interactivity and context for the 80%
§ Mobile enablement for ubiquitous access
©2010 Jaspersoft Corporation. Proprietary and Confidential 22

23. THANK YOU!

24. Twitter Tag: #briefr

25. A Strategic View of Enterprise BI!
Colin White
President, BI Research
Bloor Briefing Room with Jaspersoft
June 2012"

26. Where Are We Today?
Huge data growth
Increasing number of data types
and sources
Extreme analytic workloads
Limited user self-service
Increasing tool complexity
Restricted IT budgets
Dynamic business environment
Copyright © BI Research, 2012 26

27. Marketplace Directions
Next Generation Solutions
• Big data
• Advanced (smart) analytics
• Analytic RDBMSs & non-relational
systems
Reduce Costs
• Optimized systems
• Hardware exploitation
• Appliances
Faster Time to Value
• Self-service BI
• Cloud computing
• Agile BI/DW development
Copyright © BI Research, 2012 27

28. Extending the Enterprise Data Warehouse
Traditional EDW environment
Workgroup Analytic
applications applications
Dependent Non-
data mart Analytic relational
or cube RDBMS system
Workgroup
data systems Investigative & built
for purpose systems
Enterprise
DW
Operational
structured Master Internal/external
data systems data multi-structured
data systems
Stream processing &
Operational embedded BI solutions
applications Transactions
Embedded analytic filtered
services data
Analytic Streaming/
applications CEP engine Data streams
Copyright © BI Research 23

29. Connecting the Pieces: Information Supply Chain
data workgroup
warehouse data
operational Analyze
systems Publish
other data
systems
Copyright © BI Research, 2012 29

30. Faster Time to Value: Self-Service BI
Make it easy Make a DW Make BI tools Make BI results
to access data fast to deploy & easy to use easy to consume &
for analysis easy to manage enhance
Discover Integrate Analyze Discover
Access Manage Publish Collaborate
Data Appliances Easy BI Easy UI
virtualization Cloud computing (data mashups (office integration
Big data (private & public) customizable widgets business glossary
connectors
easy mining data lineage
analytic functions actionable BI)
advanced visualization Mobile BI
data sandbox
investigative data store) Collaborative BI
Copyright © BI Research, 2012 30

31. Choosing the Right Solution is Important to Success
Multiple data systems Multiple analytic techniques Multiple formats
Operational
structured
data
Historical
DW data
Data Data Data Data
Multi- integration management analysis delivery
structured
data
Web
services
Increasing volume Multiple deployment models Multiple devices
Copyright © BI Research, 2012 22 22

32. • On the big data topic can you explain how Jaspersoft connects to
systems such as Hadoop?
• There is a lot of hype about big data – are your customers using
multi-structured data for analysis? If so, for what type of
applications?
• What about accessing both structured and multi-structured data
using data virtualization – aren’t there performance issues here? Can
in-memory processing help?
• Are your customers using both analytic RDBMS and Hadoop systems?
If so, for what types of applications?
• What about deployment in the cloud? Any use cases you can talk
about here?
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33. • What features are users looking for to make BI tools easier to use -
are capabilities such as BI widgets, data and presentation mashups,
and portal support important here?
• One of the main objectives here is an easier to use interface. What
is required to achieve this?
• What about new data visualization approaches?
• Are mobile BI and collaborative BI key directions?
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35. ! June: Intelligence
! July: Disruption
! August: Analytics
! September: Integration
! October: Database
! November: Cloud
Twitter Tag: #briefr