Want to know where business intelligence and analytics are heading in 2014? Want to understand what BI technologies are having the most business impact—and which are not? Want to know which traits successful organizations exhibit in their analytic initiatives—and why? Learn from your peers as the “godfather” of BI research and eminent analyst Howard Dresner shares the results of his latest Wisdom of the Crowds 2014 Report. Hot off the presses, the report surveys over 1,300 global BI and details the latest trends, success measures and best practices for deploying and using analytics. In this webinar, you will learn about: Which analytic technology trends matter most and which don’t When organizations’ analytic strategies prove successful and not Which vendors to watch and why Joining Howard is Birst to share their survey assessment and demonstrate its enterprise-caliber Cloud BI platform. Learn where BI is headed.

1. 1
Enterprise-caliber Cloud BI
BOOST YOUR ANALYTICS
ACUMEN
LEARN WHERE BI IS HEADED FROM THE
WISDOM OF THE CROWDS
June 12, 2014

2. 2
WEBINAR NOTES
Attendees Muted Upon
Entry
Please send questions
using the online interface

3. 3
FEATURED SPEAKERS
Howard Dresner
Chief Research Officer
Dresner Advisory Services
Matt Train
Principal Solutions Engineer
Birst
Pedro Arellano
Sr. Director, Product Strategy
Birst

4. 4
AGENDA
• Wisdom of Crowds Overview
• A Different Approach to BI
• Demonstration
• Q&A

5. Dresner Advisory Services
Wisdom of Crowds®
2014 Edition
Copyright 2014 Dresner Advisory Services, LLC

6. About Wisdom of Crowds®
• Fifth year of publication focusing on user
experience with BI and related products
• 128 pages of objective industry analysis with
98 charts & tables and 27 vendor ratings
• Vendor survey required & 30+ customer
references
• Multi-sourced respondents – including crowd-
sourcing
Copyright 2014 Dresner Advisory Services, LLC

7. Demographics
• 1,300 respondents
• 53% North America, 30% EMEA, 17% ROW
• IT – 34%, Execs – 17%, BICC – 15%, Sales &
Marketing – 11%, Finance – 10%
• Key verticals: Healthcare, Retail & Wholesale,
Financial services, Distribution/logistics,
Manufacturing, Telco
• Organization size: Small – 32%, Mid-sized –
30%, Large – 38%
Copyright 2014 Dresner Advisory Services, LLC

8. Functional Drivers & Targets of BI
Copyright 2014 Dresner Advisory Services, LLC

9. 0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
Functions Driving Business Intelligence 2013 - 2014
2013 2014
Copyright 2014 Dresner Advisory Services, LLC

10. 75%
61%
35%
28%
25%
5%
74%
62%
36%
28%
27%
6%
0%
10%
20%
30%
40%
50%
60%
70%
80%
Executives Middle Managers Line Managers Individual Contributors
& Professionals
Customers Suppliers
Targeted Users for Business Intelligence 2013 - 2014
2013
2014
Copyright 2014 Dresner Advisory Services, LLC

11. BI Objectives
Copyright 2014 Dresner Advisory Services, LLC

12. 0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
5.00
Better decision-making Improved operational
efficiency
Growth in revenues Increased competitive
advantage
Enhanced customer service
Business Intelligence Objectives 2013 - 2104
2013
2014
Copyright 2014 Dresner Advisory Services, LLC

13. 3.2
3.4
3.6
3.8
4
4.2
4.4
4.6
Healthcare Manufacturing Retail & wholesale Technology Financial services
Business intelligence objectives by selected vertical industries
Improved operational efficiency Increased competitive advantage Growth in revenues Enhanced customer service
Copyright 2014 Dresner Advisory Services, LLC

14. 0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Better decision making Growth in revenues Improved operational
efficiency
Enhanced customer service Increased competitive
advantage
Business intelligence objectives by organization size
Small Mid-sized Large
Copyright 2014 Dresner Advisory Services, LLC

15. Business Intelligence Penetration
Copyright 2014 Dresner Advisory Services, LLC

16. 36%
21%
12%
8%
6%
17%
0%
5%
10%
15%
20%
25%
30%
35%
40%
Under 10% 11 - 20% 21 - 40% 41 - 60% 61 - 80% 81% or more
Penetration of Business Intelligence Solutions Today (2014)
Copyright 2014 Dresner Advisory Services, LLC

17. 0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
In 12 months In 24 months In 36 months
Expansion Plans for Business Intelligence Through 2017 (2014)
61 - 80%
41 - 60%
21 - 40%
11 - 20%
Under 10%
Copyright 2014 Dresner Advisory Services, LLC

18. Technologies/Initiatives Strategic
to BI
Copyright 2014 Dresner Advisory Services, LLC

19. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Complex event processing (CEP)
Social media analysis (Social BI)
Open source software
Text analytics
Big data (e.g., Hadoop)
Ability to write to transactional applications
Search-based interface
Pre-packaged vertical/functional analytical applications
Collaborative support for group-based analysis
Software-as-a-service and cloud computing
Location intelligence/analytics
In-Memory analysis
End-user data "blending" (data mashups)
Data mining, advanced algorithms, predictive
Mobile device support
"Embedded" BI (contained within an application, portal, etc.)
Data discovery
Integration with operational processes
Advanced Visualization
Data warehousing
End-user "self service"
Dashboards
Technologies and initiatives strategic to business intelligence (2014)
Critical Very important Important Somewhat important Not important
Copyright 2014 Dresner Advisory Services, LLC

20. 0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
Technology Priorities - 2013 - 2014
2013 2014
Copyright 2014 Dresner Advisory Services, LLC

21. 0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
Complex Event Processing (CEP)
Social media Analysis (SocialBI)
Open Source Software
Text Analytics
Big Data (e.g., Hadoop)
Ability to write to transactional
applications
Pre-packaged vertical/functional
analytical applications
Collaborative Support for Group-
based Analysis
Search-based interface
Software-as-a-Service and "Cloud"
Computing
Location Intelligence/Analytics
In-memory analysis
End user data "blending" (data
mash ups)
Data Mining, Advanced Algorithms,
Predictive
"Embedded" BI (contained within
an application, portal, etc.)
Mobile Device Support
Data Discovery
Integration with Operational
Processes
Advanced visualization
Data Warehousing
End user "self service"
Dashboards
Technology priorities by function
Marketing Executive Management Information Technology (IT) Sales Finance
Copyright 2014 Dresner Advisory Services, LLC

22. Copyright 2014 Dresner Advisory Services, LLC
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
Dashboards
End-user "self service"
Data warehousing
Advanced visualization
Integration with operational processes
Data discovery
"Embedded" BI (contained within an
application, portal, etc.)
Mobile device support
Data mining, advanced algorithms,
predictive
End-user data "blending" (data mash
ups)
Location intelligence/analytics
In-memory analysis
Pre-packaged vertical/functional
analytical applications
Collaborative support for group-based
analysis
Software-as-a-service and cloud
computing
Search-based interface
Ability to write to transactional
applications
Big Data (e.g., Hadoop)
Text analytics
Open source software
Complex event processing (CEP)
Social media analysis (Social BI)
Technology priorities by organization size - small, mid-sized and large
enterprises
Small Mid-sized Large

23. State of Data
Copyright 2014 Dresner Advisory Services, LLC

24. 0% 5% 10% 15% 20% 25% 30% 35% 40% 45%
Data as "truth" - A common view of enterprise data is
available with common application of data, filters,
rules, and semantics.
A common view of enterprise data is available.
However, parochial views and semantics are used to
support specific positions
Consistent data is available at a departmental level.
Conflicting, functional views of data causes confusion
and disagreement
We have multiple, inconsistent data sources with
conflicting semantics and data. Information is generally
unreliable and distrusted
Business Intelligence & The State of Data
Copyright 2014 Dresner Advisory Services, LLC

25. 0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Finance Executive
Management
Information
Technology (IT)
Sales Marketing
State of data by function
We have multiple, inconsistent data
sources with conflicting semantics
and data. Information is generally
unreliable and distrusted
Consistent data is available at a
departmental level. Conflicting,
functional views of data causes
confusion and disagreement
A common view of enterprise data is
available. However, parochial views
and semantics are used to support
specific positions
Data as "truth" - A common view of
enterprise data is available with
common application of data, filters,
rules, and semantics.
Copyright 2014 Dresner Advisory Services, LLC

26. 0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1 - 25 26-100 101 - 1,000 1,001 - 2,000 2,001 - 5,000 5,001 -
10,000
More than
10,000
State of data by organization size
We have multiple, inconsistent data
sources with conflicting semantics
and data. Information is generally
unreliable and distrusted
Consistent data is available at a
departmental level. Conflicting,
functional views of data causes
confusion and disagreement
A common view of enterprise data is
available. However, parochial views
and semantics are used to support
specific positions
Data as "truth" - A common view of
enterprise data is available with
common application of data, filters,
rules, and semantics.
Copyright 2014 Dresner Advisory Services, LLC

27. Action on Insight
Copyright 2014 Dresner Advisory Services, LLC

28. 24%
62%
10%
4%
0% 10% 20% 30% 40% 50% 60% 70%
“Closed loop” processes ensure timely, concerted
action
Ad hoc (informal) action on insights across functions
Uncoordinated/ parochial action (sometimes at the
expense of others)
Insights are rarely leveraged
Action on Insight
Copyright 2014 Dresner Advisory Services, LLC

29. 0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Finance Executive
Management
Information
Technology (IT)
Sales Marketing
Action on insight by function
Insights are rarely leveraged
Uncoordinated/ parochial action
(sometimes at the expense of
others)
Ad hoc (informal) action on insights
across functions
“Closed loop” processes ensure
timely, concerted action
Copyright 2014 Dresner Advisory Services, LLC

30. Success with BI
Copyright 2014 Dresner Advisory Services, LLC

31. 41%
48%
8%
3%
41%
48%
8%
3%
41%
49%
8%
2%
0%
10%
20%
30%
40%
50%
60%
Completely agree Agree Somewhat Disagree Somewhat Disagree
Success with Business Intelligence 2012 - 2014
2012 2013 2014
Copyright 2014 Dresner Advisory Services, LLC

32. 0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1-25 26-100 101 - 1,000 1,001 - 2,000 2,001 - 5,000 5,001 - 10,000 More than
10,000
Success with business intelligence by organization size (2014)
Unsuccessful
Somewhat unsuccessful
Somewhat successful
Completely successful
Copyright 2014 Dresner Advisory Services, LLC

33. 0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Completely successful Somewhat successful Somewhat unsuccessful Unsuccessful
Success with business intelligence and BI objectives
Better decision-making Improved operational efficiency Growth in revenues
Increased competitive advantage Enhanced customer service
Copyright 2014 Dresner Advisory Services, LLC

34. 1
1.5
2
2.5
3
3.5
4
4.5
Dashboards
End user "self service"
Data Warehousing
Advanced visualization
Integration with Operational
Processes
Data Discovery
"Embedded" BI (contained
within an application, portal,…
Mobile Device Support
Data Mining, Advanced
Algorithms, Predictive
End user data "blending" (data
mash ups)
In-memory analysis
Location Intelligence/Analytics
Software-as-a-Service and
"Cloud" Computing
Search-based interface
Collaborative Support for Group-
based Analysis
Pre-packaged vertical/functional
analytical applications
Ability to write to transactional
applications
Big Data (e.g., Hadoop)
Text Analytics
Open Source Software
Social media Analysis (SocialBI)
Complex Event Processing (CEP)
Success with business intelligence and technology priorities
Successful Unsuccessful
Copyright 2014 Dresner Advisory Services, LLC

35. 0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Completely successful Somewhat successful Somewhat unsuccessful Unsuccessful
Success with business intelligence and numbers of BI tools in use
10 or more
9
8
7
6
5
4
3
2
1
Don't know
Copyright 2014 Dresner Advisory Services, LLC

36. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Data as "truth" - A common view of enterprise data is
available with common application of data, filters,
rules, and semantics.
A common view of enterprise data is available.
However, parochial views and semantics are used to
support specific positions
Consistent data is available at a departmental level.
Conflicting, functional views of data causes confusion
and disagreement
We have multiple, inconsistent data sources with
conflicting semantics and data. Information is generally
unreliable and distrusted
Success with business intelligence and state of data
Completely successful Somewhat successful Somewhat unsuccessful Unsuccessful
Copyright 2014 Dresner Advisory Services, LLC

37. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
“Closed loop” processes ensure timely, concerted
action
Ad hoc (informal) action on insights across functions
Uncoordinated/ parochial action (sometimes at the
expense of others)
Insights are rarely leveraged
Success with business intelligence and action on insight
Completely successful Somewhat successful Somewhat unsuccessful Unsuccessful
Copyright 2014 Dresner Advisory Services, LLC

38. Vendor Rankings
Copyright 2014 Dresner Advisory Services, LLC

39. Rankings: Emerging Business
Intelligence Vendors
Vendor Sales Value Product Support Consult Integrity Recom
mend
Overall
Birst 4.59 4.43 4.32 4.55 4.28 4.62 5.00 4.54
Jaspersoft 4.34 4.28 4.19 4.37 4.47 4.58 4.95 4.45
Adaptive
Insights
4.43 4.26 4.16 4.41 4.35 4.50 5.00 4.45
Jedox 4.31 4.40 4.10 4.25 4.37 4.40 4.81 4.38
GoodData 3.84 3.86 3.77 4.52 3.93 4.33 4.53 4.11
Copyright 2014 Dresner Advisory Services, LLC

40. Copyright 2014 Dresner Advisory Services, LLC
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Sales professionalism
Product knowledge
Understanding our business/needs
Responsiveness
Flexibility/accommodation
Business practices
Contractual terms and conditions
Follow up after the sale
Value
Product robustness/sophistication of technology
Completeness of functionality
Reliability of technology
Scalability
Integration of components within product
Integration with 3rd party technologies
Overall usability
Ease of installationEase of administration
Customization and extensibility
Ease of upgrade/migration to new versions
Online training, forums and documentation
Support professionalism
Product knowledge
Responsiveness
Continuity of personnel
Time to resolve problems
Consult professionalism
Product knowledge
Experience
Continuity
Value
Integrity
Recommend
Birst performance
Peer Overall Birst

41. Conclusions
• Executives tends to be both the drivers and
beneficiaries of BI.
• Better decision-making is the chief goal for BI
• User penetration remains modest, with ambitious
plans for next 3 years.
• Cloud BI is the only BI technology to increase in
importance consistently for past 3 years
• The most successful organizations have a handle
on both data governance and leveraging insights
derived from BI solutions.
Copyright 2014 Dresner Advisory Services, LLC

42. 42
A DIFFERENT
APPROACH TO BI

43. 43
KEY TAKEAWAYS

44. 44
STRATEGIC INITIATIVES
“Dashboards, end-user self-service, data
warehousing, and advanced visualization
lead the list of technologies and initiatives
strategic to business intelligence.”
Source: 2014 Wisdom of Crowds Business Intelligence Market Study

45. 45
TECHNOLOGY PRIORITIES
Cloud BI is the only technology to
increase in importance consistently
for past 3 years.
Source: 2014 Wisdom of Crowds Business Intelligence Market Study

46. 46
THE STATE OF DATA
“Success with business intelligence
relates strongly and directly to an
organization's state of data.”
Source: 2014 Wisdom of Crowds Business Intelligence Market Study

47. 47
THE BIRST APPROACH

48. 48
• #BIWisdom Tweet Chat:
It’s important to have tools that “liberate data, but there are
too many tools that, at the same time, also expose the data
to abuse.”
“Departmental data discovery tools enable line-of-business
user insight, but some centralized control needs to be
maintained.”
Source: Dresner’s Point: Can You Have Self-Service BI and Governance Too? May 30, 2014
http://howarddresner.com/Self-Service%20BI%20and%20Governance%20Too
THE ROLE OF GOVERNANCE
CAN YOU HAVE SELF-SERVICE BI AND GOVERNANCE TOO?

49. 49
Automated Data
Management
Automated Historical
& Analytic Data Store
Unified Logical Layer Smart Analytic Engine
SINGLE INTEGRATED BI PLATFORM
ETL, DATA WAREHOUSE, LOGICAL LAYER, VISUALIZATIONS
Visual DiscoveryEnterprise Reporting Mobile AnalyticsDesign StudioInteractive DashboardsPredictive Analytics
1
2

50. 50
Get data
(Connect to Source
Applications)
Arrange data
(De-normalize Data)
Make data
analytic-ready
(Create Dimensional
Model)
Give data
business
meaning
(Create Business
Model)
Answer
business
questions
(Visualize Analytics)
Visualization (Tableau, etc…)
OLAP & BI Tools (Microstrategy, Qlikview)Conventional Analytical ETL tools
(Informatica, etc…)
AUTOMATED MODELING AND DWH
SPEEDS DEPLOYMENT AND DEVELOPMENT CYCLES
Data Warehouses
(IBM, ORCL, etc…)

51. 51
Get Data
(Connect to Source
Applications)
Automated Data Warehouse
Automated Data Model
Intelligent caching /routing
Logical Layer
Arrange Data
(De-normalize Data)
Make data
analytic-ready
(Create Dimensional
Model)
Give data
business
meaning
(Create Business
Model)
Answer
business
questions
(Visualize Analytics)
AUTOMATED MODELING AND DWH
SPEEDS DEPLOYMENT AND DEVELOPMENT CYCLES

52. 52
DISCOVER INSIGHTS IN NO TIME
INTERACTIVE DASHBOARDS AND ADVANCED VISUALIZATIONS

53. 53
650,000,000
5,000,000
800,000
600,000
80,000
25,000
10,000
1
MB of Data
Dashboards
Dimension Tables
Fact Tables
Dashboards viewed a day
Data sources
Organizations
Multi-tenant Infrastructure
SOC II, Type II compliant
ISO 27001 policies
Data encryption at rest/in-transit
BORN IN THE CLOUD
DELIVERS TIME TO VALUE, FLEXIBILITY, AND SCALABILITY

54. 54
Power
to analyze any data
Accuracy
across all users
Agility
to handle new questions
Enables all users with a
set of tools unique to their
needs
Creates a single source
of the truth for all data
and business rules
Automates process of
taking raw data and
making it analytic ready
Single end-to-end
Cloud BI platform
UNIQUELY DELIVERING RESULTS
It does You getWe Provide It Does You Get
A unified business
library
BI Automation &
Data Integration

55. 55
DEMONSTRATION

56. 56
BIRST TODAY
• Enterprise-Caliber BI Platform – born in the cloud
• 10,000+ organizations rely on Birst across all
verticals
• Founded by Siebel Analytics veterans
• 80+ Strategic Partners
“ No. 1 in product functionality and
customer (that is, product quality, no
problems with software, support) and
sales experience.”
2014 BI & Analytics Magic Quadrant –
“Challenger”

57. 57
Mid-marketEnterpriseEmbedded
SERVING MULTIPLE MARKETS

58. 58
Q&A

59. 59
LEARN MORE
• Download 2014 WOC Report
– Birst.com/wisdom2014
• Join us for a Live Demo
– Every Tues and Thurs @
11:00 am PT/2:00 pm ET
– birst.com/livedemo
• Contact us
– info@birst.com
– (866) 940-1496 (or +1 415-766-4800)

60. 60
THANKS