Post on 27-Jan-2015
description
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Enterprise-caliber Cloud BI
BOOST YOUR ANALYTICS ACUMENLEARN WHERE BI IS HEADED FROM THE WISDOM OF THE
CROWDS
June 12, 2014
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WEBINAR NOTES
Attendees Muted Upon Entry
Please send questions using the online interface
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FEATURED SPEAKERS
Howard DresnerChief Research OfficerDresner Advisory Services
Matt TrainPrincipal Solutions EngineerBirst
Pedro ArellanoSr. Director, Product StrategyBirst
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AGENDA
• Wisdom of Crowds Overview• A Different Approach to BI• Demonstration• Q&A
Dresner Advisory ServicesWisdom of Crowds®
2014 Edition
Copyright 2014 Dresner Advisory Services, LLC
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
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
Functional Drivers & Targets of BI
Copyright 2014 Dresner Advisory Services, LLC
Execu
tive M
anag
emen
t
Finan
ceSa
les
Operations
Informati
on Tech
nology (IT
)
Strate
gic Plan
ning Functi
on
Marketi
ng
Business
Intel
ligen
ce Compete
ncy Cen
ter
Supply
Chain
Researc
h and Dev
elopmen
t (R&D)
Human Reso
urces
Manufac
turing
Facu
lty (E
ducation)
Clinica
l (Hea
lthcar
e)0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
Functions Driving Business Intelligence 2013 - 2014
2013 2014Copyright 2014 Dresner Advisory Services, LLC
Execu
tives
Middle Man
agers
Line M
anag
ers
Individual
Contributors
& Profes
sionals
Customers
Supplie
rs0%
10%
20%
30%
40%
50%
60%
70%
80%75%
61%
35%
28%25%
5%
74%
62%
36%
28% 27%
6%
Targeted Users for Business Intelligence 2013 - 2014
20132014
Copyright 2014 Dresner Advisory Services, LLC
BI Objectives
Copyright 2014 Dresner Advisory Services, LLC
Better
decisio
n-mak
ing
Impro
ved opera
tional effi
ciency
Growth in
reve
nues
Increase
d competi
tive ad
vantag
e
Enhan
ced cu
stomer
servic
e0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
5.00
Business Intelligence Objectives 2013 - 2104
20132014
Copyright 2014 Dresner Advisory Services, LLC
Healthcare Manufacturing Retail & wholesale Technology Financial services3.2
3.4
3.6
3.8
4
4.2
4.4
4.6
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
Better decision making Growth in revenues Improved operational efficiency Enhanced customer service Increased competitive advantage0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Business intelligence objectives by organization size
Small Mid-sized Large
Copyright 2014 Dresner Advisory Services, LLC
Business Intelligence Penetration
Copyright 2014 Dresner Advisory Services, LLC
Under 10% 11 - 20% 21 - 40% 41 - 60% 61 - 80% 81% or more0%
5%
10%
15%
20%
25%
30%
35%
40%
36%
21%
12%
8%
6%
17%
Penetration of Business Intelligence Solutions Today (2014)
Copyright 2014 Dresner Advisory Services, LLC
In 12 months In 24 months In 36 months0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Expansion Plans for Business Intelligence Through 2017 (2014)
61 - 80%41 - 60%21 - 40%11 - 20%Under 10%
Copyright 2014 Dresner Advisory Services, LLC
Technologies/Initiatives Strategic to BI
Copyright 2014 Dresner Advisory Services, LLC
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
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Technologies and initiatives strategic to business intelligence (2014)
Critical Very important Important Somewhat important Not important
Copyright 2014 Dresner Advisory Services, LLC
Dash
boar
ds
End
user
"self
serv
ice"
Data
War
ehou
sing
Adva
nced
visu
aliza
tion
Inte
grati
on w
ith O
pera
tiona
l Pro
cess
esDa
ta D
iscov
ery
"Em
bedd
ed" B
I
Mob
ile D
evice
Supp
ort
Data
Min
ing,
Adva
nced
Algo
rithm
s, Pr
edicti
ve
End
user
dat
a "bl
endi
ng"
In-m
emor
y ana
lysis
Loca
tion
Inte
lligen
ce/A
nalyti
cs
Softw
are-
as-a
-Ser
vice a
nd "C
loud
" Com
putin
g
Colla
bora
tive S
uppo
rt fo
r Gro
up-b
ased
Ana
lysis
Pre-
pack
aged
analy
tical
appl
icatio
ns
Sear
ch-b
ased
inte
rface
Abilit
y to
write t
o tra
nsac
tiona
l app
licati
ons
Big D
ata (
e.g., H
adoo
p)Te
xt A
nalyti
cs
Open
Sour
ce So
ftwar
e
Socia
l med
ia An
alysis
(Soc
ialBI
)
Com
plex
Even
t Pro
cess
ing (
CEP)
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
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" ComputingLocation Intelligence/AnalyticsIn-memory analysisEnd 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
0
5
Technology priorities by function
Marketing Executive Management Information Technology (IT)Sales Finance
Copyright 2014 Dresner Advisory Services, LLC
Copyright 2014 Dresner Advisory Services, LLC
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/analyticsIn-memory analysisPre-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)
0
5
Technology priorities by organization size - small, mid-sized and large enterprises
Small Mid-sized Large
State of Data
Copyright 2014 Dresner Advisory Services, LLC
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
0% 5% 10% 15% 20% 25% 30% 35% 40% 45%
Business Intelligence & The State of Data
Copyright 2014 Dresner Advisory Services, LLC
Finance Executive Management
Information Technology (IT)
Sales Marketing0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
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 de-partmental level. Conflicting, func-tional 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
1 - 25 26-100 101 - 1,000 1,001 - 2,000
2,001 - 5,000
5,001 - 10,000
More than 10,000
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
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 de-partmental level. Conflicting, func-tional 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
Action on Insight
Copyright 2014 Dresner Advisory Services, LLC
“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
0% 10% 20% 30% 40% 50% 60% 70%
24%
62%
10%
4%
Action on Insight
Copyright 2014 Dresner Advisory Services, LLC
Finance Executive Management
Information Technology (IT)
Sales Marketing0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
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
Success with BI
Copyright 2014 Dresner Advisory Services, LLC
Completely agree Agree Somewhat Disagree Somewhat Disagree0%
10%
20%
30%
40%
50%
60%
41%
48%
8%
3%
41%
48%
8%
3%
41%
49%
8%
2%
Success with Business Intelligence 2012 - 2014
2012 2013 2014
Copyright 2014 Dresner Advisory Services, LLC
1-25 26-100 101 - 1,000 1,001 - 2,000 2,001 - 5,000 5,001 - 10,000 More than 10,000
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Success with business intelligence by organization size (2014)
UnsuccessfulSomewhat unsuccessfulSomewhat successfulCompletely successful
Copyright 2014 Dresner Advisory Services, LLC
Completely successful Somewhat successful Somewhat unsuccessful Unsuccessful0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Success with business intelligence and BI objectives
Better decision-making Improved operational efficiency Growth in revenuesIncreased competitive advantage Enhanced customer service
Copyright 2014 Dresner Advisory Services, LLC
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)In-memory analysisLocation Intelligence/AnalyticsSoftware-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)
1
3
5
Success with business intelligence and technology priorities
Successful Unsuccessful
Copyright 2014 Dresner Advisory Services, LLC
Completely successful Somewhat successful Somewhat unsuccessful Unsuccessful0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Success with business intelligence and numbers of BI tools in use
10 or more987654321Don't know
Copyright 2014 Dresner Advisory Services, LLC
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
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Success with business intelligence and state of data
Completely successful Somewhat successful Somewhat unsuccessful Unsuccessful
Copyright 2014 Dresner Advisory Services, LLC
“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
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Success with business intelligence and action on insight
Completely successful Somewhat successful Somewhat unsuccessful Unsuccessful
Copyright 2014 Dresner Advisory Services, LLC
Vendor Rankings
Copyright 2014 Dresner Advisory Services, LLC
Rankings: Emerging Business Intelligence Vendors
Vendor Sales Value Product Support Consult Integrity Recommend
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
Copyright 2014 Dresner Advisory Services, LLC
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 usabilityEase 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
IntegrityRecommend
0
5
Birst performance
Peer Overall Birst
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
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A DIFFERENT APPROACH TO BI
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KEY TAKEAWAYS
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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
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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
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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
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THE BIRST APPROACH
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• #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 GOVERNANCECAN YOU HAVE SELF-SERVICE BI AND GOVERNANCE TOO?
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Automated DataManagement
Automated Historical& Analytic Data Store
Unified Logical Layer Smart Analytic Engine
SINGLE INTEGRATED BI PLATFORMETL, DATA WAREHOUSE, LOGICAL LAYER, VISUALIZATIONS
Visual DiscoveryEnterprise Reporting Mobile AnalyticsDesign StudioInteractive DashboardsPredictive Analytics
1
2
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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 DWHSPEEDS DEPLOYMENT AND DEVELOPMENT CYCLES
Data Warehouses(IBM, ORCL, etc…)
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Get Data(Connect to Source
Applications)
Automated Data WarehouseAutomated Data Model
Intelligent caching /routingLogical 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 DWHSPEEDS DEPLOYMENT AND DEVELOPMENT CYCLES
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DISCOVER INSIGHTS IN NO TIMEINTERACTIVE DASHBOARDS AND ADVANCED VISUALIZATIONS
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650,000,00
0
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 InfrastructureSOC II, Type II compliantISO 27001 policiesData encryption at rest/in-transit
BORN IN THE CLOUDDELIVERS TIME TO VALUE, FLEXIBILITY, AND SCALABILITY
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Powerto analyze any data
Accuracyacross all users
Agilityto 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
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DEMONSTRATION
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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”
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Mid
-mark
et
Ente
rpri
seEm
bedded
SERVING MULTIPLE MARKETS
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Q&A
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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)
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THANKS