Boost Your Analytics Acumen: Learn Where BI is Headed from the Wisdom of the Crowds

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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


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%


Functional Drivers & Targets of BI


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


BI Objectives


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


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


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


Business Intelligence Penetration


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)


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%


Technologies/Initiatives Strategic to BI


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


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


Complex Event Processing (CEP)Social media Analysis (SocialBI)Open Source Software

Text Analytics

Big Data (e.g., Hadoop)



Collaborative Support for Group-based Analysis


Software-as-a-Service and "Cloud" ComputingLocation Intelligence/AnalyticsIn-memory analysisEnd user data "blending" (data mash ups)

Data Mining, Advanced Algorithms, Predictive


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



Dashboards End-user "self service"

Data warehousing


Integration with operational processes

Data discovery


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




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


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


Finance Executive Management

Information Technology (IT)

Sales Marketing0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

State of data by function


Consistent data is available at a de-partmental level. Conflicting, func-tional views of data causes confusion and disagreement




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


Consistent data is available at a de-partmental level. Conflicting, func-tional views of data causes confusion and disagreement




Action on Insight


“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


Finance Executive Management

Information Technology (IT)

Sales Marketing0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Action on insight by function






Success with BI


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


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


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


Dashboards End user "self service"Data Warehousing


Integration with Operational Processes

Data Discovery


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


Collaborative Support for Group-based Analysis




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


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




Consistent data is available at a departmental level. Conflicting, functional views of data causes confusion and disagreement


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






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


Vendor Rankings


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



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.


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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?

http://howarddresner.com/Self-Service%20BI%20and%20Governance%20Too

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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– [email protected]– (866) 940-1496 (or +1 415-766-4800)

mailto:[email protected]

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THANKS

Boost Your Analytics Acumen: Learn Where BI is Headed from the Wisdom of the Crowds

Software

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