The document discusses the essential features and advantages of Birst's enterprise business intelligence (BI) platform, emphasizing its end-to-end capabilities and flexibility for deploying across various sectors. It highlights Birst's use of cloud technology to seamlessly integrate data from multiple sources while reducing operational complexity and cost. Additionally, the document includes information about the company's leadership and invites readers to engage with Birst through demos and contact options.

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.
! As data tends to come from increasingly disparate sources, it
is crucial that BI tools provide the means to access data
from anywhere, anytime.
! Emerging technologies around the cloud are making the BI
process more accessible to both IT and business users.
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6. Analyst: Robin Bloor
Robin Bloor is Chief Analyst
at The Bloor Group.
Robin.Bloor@Bloorgroup.com
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7. ! End-to-end BI
! Embedded, multi-tenant SaaS platform
! On-premise or cloud deployments
! Robust and flexible dashboards
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8. Brad Peters is the CEO and co-founder of
Birst. Brad has spent the last 10 years building
analytics products and solutions. Prior to
working at Birst, he helped found and later
led the Analytics product line at Siebel
Systems which forms the basis of Oracle’s
current OBIEE product family. Brad started his
career as an investment banker for Morgan
Stanley in the New York M&A practice. Brad
regularly blogs for Forbes.com where he
writes about Cloud and business software
related issues. He received a BS and MS in
electrical engineering and computer science
from UC Berkeley, where he was a National
Science Foundation Fellow. He received his
MBA from Harvard Business School.
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9. AGILE
BUSINESS
ANALYTICS
AND
BIRST
Brad
Peters,
CEO
and
co-­‐Founder
June
19,
2012

10. BIRST
TODAY
• Over
1,000
organiza=ons
rely
on
Birst
across
all
ver=cals
– 175+
direct
customers
– Mostly
Midsized/Departmental
Enterprises
• 65%
direct/35%
channel
(OEM)
• Typical
deployment
have
mul=ple
data
sources
with
large
data
volumes
(>100’s
M
records)
10

11. BIRST
CUSTOMERS
INTEGRATE
DATA
FROM
11

12. ROBUSTNESS
OF
SUITE
WITH
AGILITY
OF
DISCOVERY
BI
Suites
Capability
Agility
12

13. WHY
ORGANIZATIONS
CHOOSE
BIRST
ü Only
Enterprise
class,
mul=-­‐tenant,
SaaS
BI
plaTorm
on
the
market
– Leading
provider
of
embedded
SaaS
BI
ü End-­‐to-­‐end
BI
is
more
powerful
than
data
discovery
tools
ü Reduced
opera=onal
complexity
– Public
or
Private
Cloud
op=ons
– All
the
benefits
of
SaaS
without
the
constraints
ü Economic
advantage
– Opera=ng
expense
vs.
capital
expenditure
– Lower
TCO
-­‐
As
li^le
as
1/3
the
cost
of
tradi=onal
BI
/
Analy=cs
plaTorms
13

14. AGILE
BUSINESS
ANALYTICS
ARCHITECTURE
14

15. UNPARALLELED
DEPLOYMENT
FLEXIBILITY
Birst
Cloud
Birst
Appliance
15

16. OPTIMIZING
SPEED
&
COST
FOR
ALL
NEEDS
Speed
MS
SQL
Server
In-­‐memory
DB
Columnar
DB
Hadoop/Hive
1GB
10GB
100GB
1TB
10TB
100TB
Scale
16

17. BIRST
FOR
VISUALIZATION

18. BIRST
FOR
DASHBOARDS

19. BIRST
FOR
REPORTING

20. BIRST
FOR
AD-­‐HOC

21. DEMONSTRATION

22. FIND
OUT
MORE
• Test
Drive
Birst
– Register
at
birst.com/freetrial
• Join
a
Birst
live
demo
– Every
Wed
at
11:00
am
PT/
2:00
pm
ET
– Register
at
Birst.com
• Contact
us
– Email:
info@birst.com
– Phone:
(866)
940-­‐1496
Slide
22

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26. ! Hindsight: Regular reporting/operational BI
! Oversight: Dashboards, OLAP, BPM, etc.
! Insight: Data mining, statistical analysis (trends and
relationships)
! Foresight: Predictive analytics
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27. ! Data Flow Integration/automation
! Performance/timeliness (overall)
! Data Coverage: Data sources, also structured/
unstructured data
! Effective representation of data
! User self-service
! Actionable (manually)
! Automated action
! Completeness
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30. • Front-end BI tools often include capabilities that assist in organizing
effective data flow. In what ways does Birst assist with data flow
architecture?
• Your company was one of the first in the BI sector to leverage the
power of the cloud. Two questions:
• What proportion of your customer bases chooses cloud (SaaS)
deployment?
• What specifically does Birst view as the advantages of cloud
(SaaS) deployment?
• What is Birst’s capability in respect of unstructured and multi-
structured data?
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31. • Your graph that characterizes different data sources implies high
scalability. Can you speak to Birst’s capability in use with large data
stores (including Hadoop)?
• Two of your competitors have in-memory database capability for use
on PCs. Does this give them an analytical speed advantage over Birst
or does Birst deliver similar analytical speeds?
• One aspect of usability in BI is the ability to create mash-ups. Does
Birst have any specific capability that assists in this?
• An increasingly important emphasis in BI is on actionability. Are
there any characteristics of Birst that assist in integrating BI with
business processes?
• Does Birst have any specific capabilities that assist with mobile BI
and collaborative BI key directions?
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33. ! June: Intelligence
! July: Disruption
! August: Analytics
! September: Integration
! October: Database
! November: Cloud
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