2014 edition small and mid-sized enterprise business intelligence … · 2018-11-17 · october 9,...

October 9, 2014

Dresner Advisory Services, LLC

2014 Edition

Small and Mid-Sized Enterprise Business Intelligence Market Study Wisdom of Crowds

®

Series

Licensed to Klipfolio

2014 Small and Mid-Sized Enterprise Business Intelligence Market Study

http://www.dresneradvisory.com Copyright 2014– Dresner Advisory Services, LLC

2

Disclaimer

This report should be used for informational purposes only. Vendor and product selections should be made

based on multiple information sources, face-to-face meetings, customer reference checking, product

demonstrations, and proof-of-concept applications.

The information contained in all Wisdom of Crowds® Market Study Reports reflects the opinions expressed

in the online responses of individuals who chose to respond to our online questionnaire and does not

represent a scientific sampling of any kind. Dresner Advisory Services, LLC shall not be liable for the content

of Reports, study results, or for any damages incurred or alleged to be incurred by any of the companies

included in the Reports as a result of its content.

Reproduction and distribution of this publication in any form without prior written permission is forbidden.

http://www.dresneradvisory.com/



3

Business Intelligence: A Definition We define Business Intelligence (BI) as “Knowledge gained through the access and analysis of business

information.”

Business Intelligence tools and technologies include query and reporting, OLAP (on-line analytical

processing), data mining and advanced analytics, end-user tools for ad hoc query and analysis, and

dashboards for performance monitoring.

Howard Dresner, The Performance Management Revolution: Business Results Through Insight and Action

(John Wiley & Sons, 2007)




4

Introduction This year we celebrate the seventh anniversary of Dresner Advisory Services! Our thanks to all of you

that have been with us along the way—encouraging and challenging us!

Since our founding in 2007, we have strived to offer a fresh, real-world and alternative perspective on the

business intelligence (BI) market. We hope that you agree that we not only have succeeded in doing so

but have continued to “raise the bar”—offering increasingly compelling research and greater value with

each successive year!

To date, the Wisdom of Crowds family of reports remains unique in that it is the only comprehensive

research on BI usage and trends from the viewpoint of end users. By looking first hand at the experience

of IT and business users as well as industry implementation consultants, we can better provide you, our

readers, with the in-depth knowledge of the drivers of BI, where and how companies use BI, and what

likely will be the next trends on the horizon.

Since we began publishing industry research reports, we have expanded from only two reports in 2010 to

twelve reports in 2014. This includes Location Intelligence, Cloud BI (3rd

annual), Collaborative BI (3rd

annual), our flagship Wisdom of Crowds® BI Market Study (5

th annual), BI Competency Center, Advanced

& Predictive Analytics, Healthcare, BI Emerging Technologies (2nd

annual) and Mobile Computing /

Mobile BI Market Study (6th annual).

To this end, we’ve added more resources to Dresner Advisory Services including the additions of a

research director, senior editor and statistician.

For this, our second SME market study report, we created a focused, detailed report examining business

intelligence in small and mid-sized organizations. In particular, we consider how their deployments and

views differ from each other and from larger organizations. Also included are SME-specific vendor

rankings and a buyer’s guide for 21 different BI software vendors.

In closing, we’re very excited about both the market and our ability to continue to add substantial

perspective and value to it!

Thanks for your support!

Best,

Howard Dresner Chief Research Officer Dresner Advisory Services




5

Contents Business Intelligence: A Definition .................................................................................. 3

Introduction ..................................................................................................................... 4

Benefits of the Study ....................................................................................................... 8

A Consumer Guide ...................................................................................................... 8

A Supplier Tool ............................................................................................................ 8

External Awareness .................................................................................................. 8

Internal Planning ....................................................................................................... 8

About Howard Dresner and Dresner Advisory Services .................................................. 9

About Jim Ericson ......................................................................................................... 10

Survey Method and Data Collection .............................................................................. 11

Data Collection ........................................................................................................... 11

Data Quality ............................................................................................................... 12

Vendor/Market Categories ............................................................................................ 13

Executive Summary ...................................................................................................... 15

Study Demographics ..................................................................................................... 16

Geography ................................................................................................................. 16

Functions ................................................................................................................... 17

Vertical Industries ...................................................................................................... 18

Analysis and Trends ...................................................................................................... 20

How SMEs Differ ........................................................................................................... 21

Technology Priorities Changing ................................................................................. 21

Departments/Functions Driving Business Intelligence ............................................... 23

Departmental Drivers .............................................................................................. 23

User Roles Targeted for Business Intelligence .......................................................... 24

Objectives for Business Intelligence .......................................................................... 25

Business Intelligence Objectives by Function ......................................................... 27

Penetration of Business Intelligence .......................................................................... 28

SME Success with Business Intelligence ................................................................... 30

State of Data .............................................................................................................. 31




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Action on Insight ........................................................................................................ 32

SME Vendor Stacked Rankings .................................................................................... 34

Business Intelligence Titans ....................................................................................... 35

Large Established Pure-Play Business Intelligence Vendors ..................................... 35

High-Growth Business Intelligence Vendors .............................................................. 36

Specialized Business Intelligence Vendors ................................................................ 36

Emerging Business Intelligence Vendors ................................................................... 37

Detailed SME Vendor Scores ........................................................................................ 38

Actuate Detailed Score for SME ............................................................................. 39

Adaptive Insights Detailed Score for SME .............................................................. 40

Birst Detailed SME Score ....................................................................................... 41

Dimensional Insight Detailed SME Score ............................................................... 42

Dundas Detailed SME Score .................................................................................. 43

GoodData Detailed SME Score .............................................................................. 44

IBM Detailed SME Score ........................................................................................ 45

Information Builders Detailed SME Score ............................................................... 46

Jaspersoft Detailed SME Score .............................................................................. 47

Jedox Detailed SME Score ..................................................................................... 48

Jinfonet Detailed SME Score .................................................................................. 49

Klipfolio Detailed SME Score .................................................................................. 50

Logi Analytics Detailed SME Score ........................................................................ 51

Microsoft Detailed SME Score ................................................................................ 52

Pentaho Detailed SME Score ................................................................................. 53

Phocas Detailed SME Score .................................................................................. 54

Qlik Detailed SME Score ........................................................................................ 55

SAP Detailed SME Score ....................................................................................... 56

Tableau Detailed SME Score ................................................................................. 57

Targit Detailed SME Score ..................................................................................... 58

Tibco Detailed SME Score ...................................................................................... 59

SME Business Intelligence Buyer’s Guide .................................................................... 60




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Traditional Platform Support - Vendors (A–D) ............................................................ 60

Traditional Platform Support - Vendors (I).................................................................. 61

Traditional Platform Support - Vendors (J-L).............................................................. 62

Traditional Platform Support - Vendors (M-P) ............................................................ 63

Traditional Platform Support - Vendors (Q-S) ............................................................ 64

Traditional Platform Support - Vendors (T) ................................................................ 65

Cloud Platform Support - Vendors (A–D) ................................................................... 66

Cloud Platform Support - Vendors (G -I) .................................................................... 67

Cloud Platform Support - Vendors (J-L) ..................................................................... 68

Cloud Platform Support - Vendors (M-P) ................................................................... 69

Cloud Platform Support - Vendors (Q-T) .................................................................... 70

Mobile Platform Support - Vendors (A-D) .................................................................. 71

Mobile Platform Support - Vendors (I) ........................................................................ 72

Mobile Platform Support - Vendors (J-L) .................................................................... 73

Mobile Platform Support - Vendors (M-P) .................................................................. 74

Mobile Platform Support - Vendors (Q-T) .................................................................. 75

Appendix - The 2014 Wisdom of Crowds® Business Intelligence Market Survey

Instrument ..................................................................................................................... 76




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Benefits of the Study The DAS Small and Mid-Sized Enterprise Business Intelligence Market Study provides

a wealth of information and analysis–offering value to both consumers and producers of

Business Intelligence technology and services.

A Consumer Guide

As an objective source of industry research, consumers use the DAS Small and Mid-

Sized Enterprise Business Intelligence Market Study to understand how their peers use

and invest in Business Intelligence and related technologies.

Using our trademarked 33-dimension vendor performance measurement system, users

glean key insights into BI software supplier performance, enabling:

Comparisons of current vendor performance to industry norms

Identification and selection of new vendors

A Supplier Tool

Vendor Licensees can use the DAS Small and Mid-Sized Enterprise Business

Intelligence Market Study in several important ways, for example to:

External Awareness

- Build awareness for the Business Intelligence market and supplier brand, citing The

DAS Small and Mid-Sized Enterprise Business Intelligence Market Study trends and

vendor performance

- Create lead and demand-generation for supplier offerings through association with

The DAS Small and Mid-Sized Enterprise Business Intelligence Market Study brand,

findings, webinars, etc.

Internal Planning

- Refine internal product plans and align with market priorities and realities as

identified in The DAS Small and Mid-Sized Enterprise Business Intelligence Market

Study

- Better understand customer priorities, concerns, and issues

- Identify competitive pressures and opportunities




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About Howard Dresner and Dresner Advisory Services The DAS Small and Mid-Sized Enterprise Business Intelligence Market Study was

conceived, designed and executed by Dresner Advisory Services, LLC—an

independent advisory firm—and Howard Dresner, its President, Founder and Chief

Research Officer.

Howard Dresner is one of the foremost thought leaders in business intelligence and

performance management, having coined the term “Business Intelligence” in 1989. He

has published two books on the subject, The Performance

Management Revolution – Business Results through Insight

and Action (John Wiley & Sons, Nov. 2007) and Profiles in

Performance – Business Intelligence Journeys and the

Roadmap for Change (John Wiley & Sons, Nov. 2009). He

lectures at forums around the world and is often cited by the

business and trade press.

Prior to Dresner Advisory Services, Howard served as chief

strategy officer at Hyperion Solutions and was a research fellow at Gartner, where he

led its business intelligence research practice for 13 years.

Howard has conducted and directed numerous in-depth primary research studies over

the past two decades and is an expert in analyzing these markets.

Through the Wisdom of Crowds® Business Intelligence market research reports, we

engage with a global community to redefine how research is created and shared.

Landmark research reports include the:

- Wisdom of Crowds® Business Intelligence Market Study (Flagship)

- Advanced and Predictive Analytics Market Study

- Business Intelligence Competency Center Market Study

- Collaborative Business Intelligence Market Study

- Cloud Business Intelligence Market Study

- Mobile Computing/ Mobile Business Intelligence Market Study.

Howard (www.twitter.com/howarddresner) conducts a weekly Twitter “tweetchat” on

Fridays at 1:00 p.m. ET. The hashtag is #BIWisdom. During these live events the

#BIWisdom “tribe” discusses a wide range of business intelligence topics.


http://www.twitter.com/howarddresner



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You can find more information about Dresner Advisory Services at

www.dresneradvisory.com.

About Jim Ericson Jim Ericson is a research director with Dresner Advisory Services.

Jim has served as a consultant and journalist who studies end-user management

practices and industry trending in the data and information management fields.

From 2004 to 2013 he was the editorial director at Information Management magazine

(formerly DM Review), where he created architectures for user and

industry coverage for hundreds of contributors across the breadth of

the data and information management industry.

As lead writer he interviewed and profiled more than 100 CIOs,

CTOs, and program directors in a 2010-2012 program called “25

Top Information Managers.” His related feature articles earned

ASBPE national bronze and multiple Mid-Atlantic region gold and

silver awards for Technical Article and for Case History feature

writing.

A panelist, interviewer, blogger, community liaison, conference co-chair, and speaker in

the data-management community, he also sponsored and co-hosted a weekly podcast

in continuous production for more than five years.

Jim’s earlier background as senior morning news producer at NBC/Mutual Radio

Networks and as managing editor of MSNBC’s first Washington, D.C. online news

bureau cemented his understanding of fact-finding, topical reporting, and serving broad

audiences.





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Survey Method and Data Collection For this SME study, we sampled different subsets of the 2014 Wisdom of Crowds

Business Intelligence Market Survey. Dresner Advisory Services defines “Small

Enterprise” as an organization with between one and 100 employees; “Mid-Sized

Enterprise” an organization with between 101 and 1,000 employees; and “Large

Enterprise” as an organization with more than 1,000 employees. The study was

constructed from a survey instrument to collect data and used social media and crowd-

sourcing techniques to recruit participants.

Data Collection

A total of 717 surveys (versus 523 in 2013) were submitted by Small and Mid-Sized

(SME) organizations. This report focuses on the responses of those SME organizations

and draws comparisons between their responses and those of the full sample.

Figure 1 – SME study sample

375

342

320

330

340

350

360

370

380

Small (1-100) Mid (101-1,000)

SME Study Sample




12

Data Quality

We carefully scrutinized and verified all respondent entries to ensure that the study

includes only qualified participants.




13

Vendor/Market Categories For the purposes of this SME report, we utilize five different BI industry sub-categories

in which to group vendors and analyze market behavior and direction. As in 2013 these

include “Emerging,” “High Growth,” “Large Established Pure Play,” “Specialized” and

“Titan” vendors.

Emerging BI vendors are typically younger than other categories and offer unique and

often innovative business models, technologies, and/or services. This category

includes: Adaptive Insights, Birst, GoodData, Jaspersoft *, and Jedox.

High-Growth BI vendors have achieved critical mass in the market and are growing at

an extremely high rate—well above the industry average. For 2014, vendors include

Logi Analytics, Pentaho, Tableau, and TIBCO.

Large Established Pure-Play BI vendors predominately focus upon business

intelligence software and services, typically have been in business for 15 or more years,

and have well-established customer bases and revenue streams. Several are publicly

held concerns. These include Actuate, Information Builders, and Qlik.

Specialized BI vendors are established (10+ years old), focused on a specific market

segment (e.g., vertical industry), and are substantially smaller than Large Established

Pure Plays. Included in this category are Dimensional Insight, Dundas, Jinfonet,

Klipfolio, Phocus, and Targit.

Titans are the largest vendors, with extensive product and service offerings—including

business intelligence. In all cases these vendors acquired business intelligence

vendors. Included in this category are IBM, Microsoft, and SAP.

*Jaspersoft was acquired by Tibco after data collection had been completed.




14

Executive

Summary




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Executive Summary

SME top technology priorities include dashboards and end-user self-service. Smaller

organizations place a lower priority upon data warehouses but have more interest in

cloud BI than large organizations.

Executive management and sales are the strongest functional drivers at SMEs and

slightly more so than at large enterprises. SMEs are slightly less likely to be driven

by finance, operations, BICC, or supply chain functions.

Smaller enterprises are more likely to focus upon growth in revenues and

competitive advantage as objectives for business intelligence while large

organizations focus more on operational efficiency.

Though overall penetration remains low in 2014, SMEs report higher business

intelligence penetration than large organizations. Smaller organizations report higher

penetration than their mid-sized counterparts.

There is an inverse relationship between organization size and perceived success

with business intelligence with smaller organizations reporting success more often

than larger ones.

Small and medium-sized enterprises hold a high opinion of the state of data

governance within their organizations with more than one-third of small enterprises

claiming governance at the level of “data as truth.”

SMEs consider themselves slightly more capable in their ability to act on insights

employing closed loop processes or ad hoc actions based on BI insights. This is in

contrast to larger enterprises where sharing tends to be less well coordinated.




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North America 51%

Europe, Middle East, & Africa

30%

Latin America 5%

Asia Pacific 13%

Geographies of SMEs Studied

Study Demographics The respondents studied in this SME survey provide a cross-section of data by

geography, function, organization size, and vertical industries. We believe this supports

a representative sample and indicator of true market dynamics. We constructed cross-

tab analyses using these demographics to identify and illustrate important industry

trends.

Geography

Fifty-one percent of respondents are located in North America (which includes the

United States, Canada, and Puerto Rico). EMEA organizations represent 30 percent of

respondents (up from 24 percent in 2013). Asia Pacific (13 percent) and Latin America

(five percent) are the other regions represented.

Figure 2 - Geographies of SMEs studied




17

Functions

Information technology (33 percent) and Executive Management (26 percent) account

for the highest among roles represented in the study. Eleven percent represent the

BICC, which in the SME market can include dedicated Business Intelligence resources

as well as formal organizational departments (fig. 3). Finance, operations, sales and

marketing are represented in percentages similar to last year’s study.

This distribution across functions enables us to develop analyses comparing and

contrasting the plans and priorities of the different departments within organizations.

Figure 3 - Functions in SMEs studied

Other 4% Sales

6%

Marketing 5%

Operations 4%

Finance 8%

Business Intelligence Competency Center

11%

Executive Management

25%

Information Technology (IT)

33%

Research and Development (R&D)

5%

Functions in SMEs Studied




18

Vertical Industries

Vertical industry distribution among SMEs includes a cross-section of technology,

healthcare, financial services, and manufacturing along with other private and public

institutions. The largest identified industries by percentage are technology and

consulting (fig. 4).

Figure 4 – SME vertical industries

Other 20%

Telecommunications 3%

Not for profit 2%

Advertising 2%

Transportation 2%

Insurance 3%

Food, Beverage & Tobacco

2% Government

1% Education

2%

Retail & Wholesale

8%

Business Services 4%

Manufacturing 5%

Financial Services

6% Healthcare 4%

Technology 21%

Consulting 17%

SME Vertical Industries




19

Analysis and

Trends




20

Analysis and Trends This report describes the Small and Mid-Sized Enterprise market for Business

Intelligence by its own characteristics, drivers, and trends, and also by how it compares

to the large enterprise market.

For 2014 we have data in multiple areas of user trends. For SMEs we were first

interested to understand their history of experience with Business Intelligence, their

uptake of cloud BI providers, and changing priorities year over year. As in the larger

Wisdom of Crowds study, we collected and analyzed data for SMEs surrounding

functions driving Business Intelligence, goals/objectives for BI, targeted user roles,

current penetration, and future plans for Business Intelligence deployment and

organizational success.




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How SMEs Differ

Technology Priorities Changing

Small and medium-sized enterprises prioritize a wide span of BI technologies and

priorities much like larger organizations do (fig. 5). Top priorities in common are

dashboards and end user self-service. But smaller organizations do not prioritize data

warehouses as often as large organizations and show notably greater interest in

software as a service and cloud than large organizations. Smaller organizations are less

likely to embrace big data and data mining but are more interested in open source

software and social BI.

Figure 5 - Technology priorities: SMEs versus large enterprises

1.00 1.50 2.00 2.50 3.00 3.50 4.00 4.50

Complex event processing (CEP)

Open source software

Social media analysis (SocialBI)

Text analytics

Big Data (e.g., Hadoop)

Ability to write transactional applications

Collaborative support for group-based analysis

Pre-packaged vertical/functional analytical applications

Search-based interface

Software-as-a-service and cloud computing

In-memory analysis

Location intelligence/analytics

End-user data "blending" (data mash ups)

Data mining, advanced algorithms, predictive

"Embedded" BI (contained within an application, portal,…

Data discovery

Integration with operational processes

Mobile device support

Data warehousing

Advanced visualization

End user "self service"

Dashboards

Technology Priorities: SMEs versus Large Enterprises

SME LGE




22

Across all priorities, SME interest in open source software was most increased in 2014

(fig. 6). Open source and software as a service / cloud were the only two categories of

notably increased priority for all organizations in 2014. Among many decliners, text

analytics, social media, mobile device support, and advanced visualization were the

most dampened priorities for SMEs. Perhaps through awareness or experience,

complex event processing and search-based interface were more deemphasized by

large than by smaller organizations.

Figure 6 – Technology priority changes from 2013: SME versus overall sample

-6.0%

-4.0%

-2.0%

0.0%

2.0%

4.0%

6.0%

8.0%

Technology Priority Changes from 2013: SME versus Overall Sample

SME Overall




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Departments/Functions Driving Business Intelligence

The 2014 survey looks at the functions that drive Business Intelligence initiatives within

the organization. For each function, we asked respondents to specify whether it drives

Business Intelligence “always,” “often,” “sometimes,” “rarely,” or “never.” We used this to

create a weighted average on a zero-to-five scale.

Departmental Drivers

Executive management and sales are the strongest functional drivers at SMEs and

slightly more so than at large enterprises (fig. 7). As might befit their structure, SMEs

are slightly less likely to be driven by finance, operations, BICC, or supply chain

functions.

Figure 7 – Functional drivers of business intelligence by organization size (weighted mean)

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

4.50

Functional Drivers of BI by Organization Size

Large SME




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User Roles Targeted for Business Intelligence

We asked which functions/roles are targeted for automation with Business Intelligence

solutions. Respondents were able to designate roles as either “Primary,” “Secondary,”

or “Not Applicable.” Among all organizations sampled, the majority prioritized (in order)

Executives, Middle Managers, Line Managers, Individuals, Customers, and then

Suppliers last.

Small and mid-sized enterprises target executives more often than their large-enterprise

peers (fig. 8). Small organizations are noticeably more likely to target customers than

mid-size and large organizations. Conversely, targeting of middle managers and line

managers increases with organization size. This may reflect the structure of

management ranks that grow along with employee headcount. In the same vein, small

and mid-sized organizations are less likely to target individual contributors and

professionals.

Figure 8 - Primary targets for BI by organization size

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

Executives MiddleManagers

Line Managers Customers IndividualContributors &Professionals

Suppliers

Primary Targets for BI by Organization Size

Small Mid Large




25

Objectives for Business Intelligence

BI objectives as described in the survey are mostly consistent across organizations of

all sizes (fig. 9). As in years past, “better decision making” is the objective organizations

adhere to most universally. As organization size increases, respondents are less likely

to cite revenue growth, competitive advantage, or customer service as BI objectives.

Meanwhile, large organizations focus more on operational efficiency which may reflect

the number and/or complexity of business processes.

Figure 9 - Business intelligence objectives by organization size (weighted mean)

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

Better decision-making

Growth in revenues Increasedcompetitiveadvantage

Improvedoperationalefficiency

Enhanced customerservice

Business Intelligence Objectives by Organization Size

Small Mid Large




26

Among all organizations, revenue growth and competitive advantage are the two net

positive gainers among BI objectives in 2014 (fig. 10). Compared to the full sample,

small and mid-sized organizations do not show greater positive sentiment year over

year toward any of the stated BI objectives and are slightly more negative overall. While

sentiment toward revenue growth and better competitive advantage increased, it did so

only slightly. Negative sentiment tilted slightly more than the full sample against better

decision making and somewhat more against improved operational efficiency.

Figure 10 - Changes in BI objectives from 2013: SME versus overall sample

-2.5%

-2.0%

-1.5%

-1.0%

-0.5%

0.0%

0.5%

1.0%

1.5%

2.0%

Better decision-making

Growth in revenues Increasedcompetitiveadvantage

Improvedoperationalefficiency

Enhanced customerservice

Changes in BI Objectives from 2013: SME versus Overall Sample

SME Overall




27

Business Intelligence Objectives by Function

Better decision making is the top SME BI objective in 2014 across all functions (fig. 11).

Sales and marketing predictably have the highest affinity toward revenue growth;

Finance is more tilted toward operational efficiency (and by extension, cost

containment). SME executives are mostly consistent toward secondary and tertiary BI

objectives. Customer service is the trailing BI objective across all functions.

Figure 11 – BI objectives by function: SMEs Only (weighted mean)

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

InformationTechnology (IT)

ExecutiveManagement

Finance Sales Marketing

BI Objectives by Function: SMEs Only

Better decision-making Growth in revenues Increased competitive advantage

Improved operations efficiency Enhanced customer service




28

Penetration of Business Intelligence

Though overall penetration remains low in 2014, SMEs report higher penetration than

large organizations (fig. 12). Less than one-fourth of small and less than 40 percent of

medium-sized organizations report the lowest level of penetration (compared to almost

half of large organizations). While it may be a matter of lower headcount and more

operational awareness, a significantly higher number of small organizations report the

second highest or highest level (81 percent or more) of BI penetration than mid-sized or

large organizations.

Figure 12 - Current BI penetration by organization size

0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

50%

Under 10% 11 - 20% 21 - 40% 41 - 60% 61 - 80% 81% or more

BI Penetration

Current BI Penetration by Organization Size

Small Mid Large




29

Small and mid-sized organizations expect to significantly counter low BI penetration

levels in near and long-term time frames (fig. 13). Small organizations will outperform

medium-sized organizations at improving penetration in the near and midterm. Three

years from now, 30 to 40 percent of SMEs expect the highest level (81 percent or more)

of BI penetration.

Figure 13 – SME BI user penetration 2014 - 2017 by organization size

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Small Mid Small Mid Small Mid Small Mid

Today In 12 months In 24 months In 36 months

SME BI User Penetration 2014 - 2017 by Organization Size

Under 10% 11 - 20% 21 - 40% 41 - 60% 61 - 80% 81% or more




30

SME Success with Business Intelligence

The organizational tendency to claim complete BI success declines with organization

size (fig. 14). Small organizations are the most likely to agree completely that their BI

programs and projects have been successful. However, mid-sized and large

organizations are more likely to have tempered views of BI success, both positive and

negative. Less than five percent of organizations of any size disagree completely that

their BI initiatives have been successful.

Figure 14 -Success with business intelligence by organization size

0%

10%

20%

30%

40%

50%

60%

Completely agree Agree somewhat Disagree somewhat Disagree

Success with Business Intelligence by Organization Size

Small Mid Large




31

State of Data

Small and medium-sized enterprises tend to have a higher opinion of the state of data

governance within their organizations (fig. 15). Well more than one-third of small

enterprises have the highest view of their governance being at the level of “data as

truth.” Close to 40 percent or more SMEs claim the second-highest level in a common

view of enterprise data. Large organizations are more likely to report consistent

department level data or multiple inconsistent data sources.

Figure 15 - State of data governance by organization size

0% 5% 10% 15% 20% 25% 30% 35% 40% 45%

Data as "truth" - A common view of enterprisedata 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 departmentallevel. Conflicting, functional views of data

causes confusion and disagreement.

We have multiple, inconsistent data sourceswith conflicting semantics and data.

Information is generally unreliable anddistrusted.

State of Data Governance by Organization Size

Large

Mid

Small




32

Action on Insight

In 2014 we began data collection regarding “Action on Insight,” the degree to which

organizations take data into use beyond passive reporting/observation. As might be

expected, SMEs consider themselves slightly more responsive in their ability to execute

with closed loop processes or ad hoc actions based on BI insights (fig. 16). Large

organizations are slightly more likely to report uncoordinated actions, though only five

percent or fewer of all organizations say insights are “rarely leveraged.”

Figure 16 - Action on insight

0%

10%

20%

30%

40%

50%

60%

70%

“Closed loop” processes ensure timely, concerted

action

Ad hoc (informal)action on insightsacross functions

Uncoordinated/parochial action

(sometimes at theexpense of others)

Insights are rarelyleveraged

Action on Insight

SME

Large




33

SME Vendor

Rankings




34

SME Vendor Stacked Rankings In this section we offer stacked rankings of Business Intelligence software vendors

supporting Small and Mid-Sized Enterprises. We ranked vendors using 33 different

criteria, on a five-point scale for each. Criteria covered sales /acquisition experience (8

criteria), value for price paid (1), quality and usefulness of product (12), quality of

technical support (5), quality and value of consulting services (5), whether vendor is

recommended (1), and integrity (1). The result is a stacked ranking with an average

score for every one of the seven categories and an overall average score for each

vendor.

As we begin to explore vendor performance in more detail, it’s important to understand

the scale that we used in scoring the industry and vendors:

5.0 = Excellent

4.0 = Very good

3.0 = Adequate

2.0 = Poor

1.0 = Very poor

As in 2013, market segments include the “Titans,” “Large Established Pure-Play,”

“Emerging,” “High-Growth” and Specialized” vendors.

Within each segment, vendors have similar traits and, as a result, similar score-average

ranges. So, while comparisons can (and no doubt will) be made between these sub-

segment “peer groups,” it’s not always a reasonable comparison.

Based on our scoring methodology, all vendors performed at a level that is considered

more than “adequate” for all categories of criteria.

*Please note that “Average Score” is the mathematical mean of all items included in

vendor ratings. Each column in the chart represents a scale consisting of varying

numbers of items. (For example "Sales" is a scale consisting of eight items, while

"value" for price is a single item). As such, each column is weighted differently (based

upon the number of items represented and the number of respondents rating those

items) in calculating the overall average rating. The Average Score cannot be calculated

by simply averaging across the subscale scores.




35

Business Intelligence Titans

“Titans” (table 1) are the largest vendors, with extensive product and service offerings—

including Business Intelligence. In all cases these vendors have acquired Business

Intelligence vendors. Included in this category are IBM, Microsoft, and SAP.

Table 1 - Business Intelligence Titans - Stacked Rankings

Vendor Sales Avg

Value Product Support Consult Integrity Recommend Final Score

IBM 3.70 3.47 3.62 3.64 3.67 4.00 4.73 3.83

Microsoft 3.53 3.73 3.67 3.34 3.66 3.70 4.23 3.69

SAP 3.23 3.14 3.44 3.09 2.82 3.25 3.89 3.27

Large Established Pure-Play Business Intelligence Vendors

“Large Established Pure-Play” vendors (table 2) focus primarily upon Business

Intelligence software and services and have typically been in business for 15+ years

with well-established customer bases. Some are publicly held. These include Actuate,

Information Builders, and Qlik.

Table 2 – Large Established Pure-Play Business Intelligence - Stacked Rankings

Vendor Sales Avg


Qlik 4.02 4.17 4.13 4.17 4.21 4.19 5.00 4.27 Information Builders 4.38 4.00 4.00 4.24 4.22 4.18 4.64 4.24

Actuate 3.86 4.14 3.88 4.29 3.99 4.43 4.71 4.18




36

High-Growth Business Intelligence Vendors

“High-Growth” vendors (table 3) are those that have achieved critical mass in the

market and are growing at an extremely high rate—well above the industry average.

This includes Logi Analytics, Pentaho, Tableau, and Tibco.

Table 3 – High-Growth Business Intelligence Vendors – Stacked Rankings

Sales Value Product Support Consult Integrity Recommend Final Score

Tibco 4.49 4.69 4.21 4.30 4.47 4.69 5.00 4.55

Tableau 4.15 4.41 4.37 4.09 4.20 4.32 4.82 4.34

Logi Analytics

4.16 4.10 4.07 4.21 4.16 4.40 5.00 4.30

Pentaho 3.84 4.19 3.50 3.80 3.81 4.07 4.86 4.01

Specialized Business Intelligence Vendors

“Specialized” Business Intelligence vendors (table 4) have been in existence for a

number of years, have successfully focused on a particular sub-segment of the market

(e.g., vertical industry) and are modest in size. Dimensional Insight, Dundas, Jinfonet,

Klipfolio, Phocas and Targit are included in this segment.

Table 4 - Specialized Business Intelligence Vendors – Stacked Rankings

Vendor Sales Value Product Support Consult Integrity Recommend Final Score

Dimensional Insight

4.49 4.46 4.39 4.67 4.68 4.86 5.00 4.65

Klipfolio 4.59 4.46 4.37 4.62 4.61 4.62 4.69 4.57

Dundas 4.30 4.24 4.20 4.57 4.57 4.65 5.00 4.50

Phocas 4.20 4.17 4.01 4.10 4.31 4.60 4.93 4.33

Targit 3.96 3.95 3.93 4.19 4.12 4.30 4.80 4.18

Jinfonet 3.94 4.00 3.74 3.79 4.23 4.17 5.00 4.12




37

Emerging Business Intelligence Vendors

“Emerging” vendors (table 5) are typically younger than the other categories and offer

unique and often innovative business models, technologies, and/or services. This

category includes Adaptive Insights, Birst, GoodData, Jaspersoft*, and Jedox.

Table 5 - Business Intelligence Emerging Vendors – Stacked Rankings

Vendor Sales Avg


Birst 4.62 4.36 4.32 4.57 4.25 4.60 5.00 4.53 Adaptive Insights 4.49 4.38 4.29 4.48 4.38 4.58 5.00 4.51

Jaspersoft 4.41 4.37 4.23 4.50 4.52 4.58 4.94 4.51

Jedox 4.34 4.39 4.14 4.24 4.39 4.32 4.75 4.37

GoodData 3.89 3.90 3.80 4.64 3.94 4.40 4.71 4.18

After reviewing the stacked rankings of vendors, carefully examine the detailed, vendor-

specific rankings for a more complete perspective and deeper understanding of

individual vendors’ strengths and weaknesses.





38

Detailed SME Vendor Scores In this section, we offer detailed vendor scores, in alphabetical order by vendor. Using

our 33-criteria evaluation model, we compare each vendor’s performance to their direct

peer group and to the average for all vendors (all records in the study population).

The detailed criteria are below. We have added “clock” position information to assist in

locating specific scores.

Table 6 - Detailed Vendor Rating Criteria

- Sales/acquisition experience (Sales) (12 – 2 o’clock)

o Professionalism o Product knowledge o Understanding business/needs o Responsiveness o Flexibility/accommodation o Business practices o Contractual terms and conditions o Follow up after the sale

- Value for price (Value) (3 o’clock)

- Quality and usefulness of product

(Product) (3 – 7 o’clock)

o Robustness/sophistication of technology

o Completeness of functionality o Reliability of technology o Scalability o Integration of components within

product o Integration with third party

technologies o Overall usability o Ease of installation o Ease of administration

- Quality and usefulness of product (continued)

o Customization and extensibility

o Ease of upgrade/migration to new versions

o Online forums and documentation

- - Quality of technical support

(Technical Support) (8 – 9 o’clock)

o Professionalism o Product knowledge o Responsiveness o Continuity of personnel o Time to resolve problems

- Quality and value of consulting

services (Consulting) (9 – 10 o’clock)

o Professionalism o Product knowledge o Experience o Continuity o Value

- Integrity (11 o’clock)

- Whether vendor is recommended

(Recommended) (12 o’clock)




39

Actuate Detailed Score for SME

Figure 17 - Actuate detailed SME score

In the “Large Established Pure-Play” category, Actuate is generally in line with or

somewhat below peer scores among SMEs for most measures. It is best in class for

product robustness/sophistication of technology, customization, and extensibility, the

majority of technical support measures, and integrity.

00.5

11.5

22.5

33.5

44.5

5Sales professionalism

Product knowledge Understanding our…

Responsiveness

Flexibility/accommodation

Business practices

Contractual terms and…

Follow up after the sale

Value

Product…

Completeness of…

Reliability of technology

Scalability

Integration of components…

Integration with 3rd party…Overall usabilityEase of installationEase of administrationCustomization and…

Ease of upgrade/migration…

Online training, forums…

Support professionalism

Product knowledge

Responsiveness

Continuity of personnel

Time to resolve problems

Consult professionalism

Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Actuate Detailed SME Score

Peer Overall Actuate




40

Adaptive Insights Detailed Score for SME

Figure 18 - Adaptive Insights detailed SME score

A first-time entry in the “Emerging” segment, Adaptive Insights generally exceeds the

majority of peer and all overall SME averages. It is best in class for follow up after the

sale, product scalability, integration of components within product, and continuity of

consulting personnel. It also has a perfect recommend score.

00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability

Integration of…Integration with 3rd party…

Overall usabilityEase of installationEase of administrationCustomization and…Ease of upgrade/migration…



Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Adaptive Insights Detailed SME Score

Peer Overall Adaptive Insights




41

Birst Detailed SME Score

Figure 19 - Birst Detailed SME score

Birst is the leader in the “Emerging” category, generally exceeding peer and overall

SME averages. It is best in class for most sales and product measures, tech support,

continuity of personnel, time to resolve problems, and integrity. It also has a perfect

recommend score.

00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability






Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Birst Detailed SME Score

Peer Overall Birst




42

Dimensional Insight Detailed SME Score

Figure 20 – Dimensional Insight detailed SME score

Dimensional Insight is the leader in the “Specialized” category and is “best in class”

among peers for a majority of measures in product, technical support, and consulting

categories. It also has a perfect recommend score.

00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability






Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Dimensional Insight Detailed SME Score

Peer Overall DimIns




43

Dundas Detailed SME Score

Figure 21 – Dundas detailed SME score

Dundas, a member of the “Specialized” market segment, performs generally in line with

or slightly above peer average categories. It is best in class for tech support,

responsiveness, continuity of personnel, and consulting professionalism. It also has a

perfect recommend score.

00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability






Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Dundas Detailed SME Score

Peer Overall Dundas




44

GoodData Detailed SME Score

Figure 22 - GoodData detailed SME score

A member of the “Emerging” category, GoodData is generally below peer and overall

averages, with the exception of technical support where it is best in class for

professionalism, product knowledge, and responsiveness.

00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability


Overall usabilityEase of installationEase of administrationCustomization and…Ease of…



Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

GoodData Detailed SME Score

Peer Overall GoodData




45

IBM Detailed SME Score

Figure 23 – IBM detailed SME score

IBM is the leader of the “Titans” category for SME and is best in class for most

categories of measurement including sales, technical support, consulting, integrity, and

recommended.

00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability






Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

IBM Detailed SME Score

Peer Overall IBM




46

Information Builders Detailed SME Score

Figure 24 – Information Builders detailed SME score

A member of the “Large Established Pure-Play” category, Information Builders is

generally aligned with or above peers and the overall sample for SME. It is best in class

for all sales and most consulting measures, product scalability, integration with third-

party technologies, tech support, and time to resolve problems.

00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability




Online training, forums and…


Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Information Builders Detailed SME Score

Peer Overall Information Builders




47

Jaspersoft Detailed SME Score

Figure 25 – Jaspersoft detailed SME score

A member of the “Emerging” category, Jaspersoft * is generally in line with or above

peers and the overall sample. It is best in class for online training, forums,

documentation, and the majority of consulting measures.


00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability





Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Jaspersoft Detailed SME Score

Peer Overall Jaspersoft




48

Jedox Detailed SME Score

Figure 26– Jedox/Palo detailed SME score

A member of the “Emerging” market segment, Jedox is generally above the overall

sample and in line with peer averages except for technical support where it trails peers.

It is best in class for integration with third-party technologies and overall usability.

00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability





Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrityRecommend

Jedox Detailed SME Score

Peer Overall Jedox




49

Jinfonet Detailed SME Score

Figure 27 - Jinfonet detailed SME score

A new entrant in the “Specialized” segment, Jinfonet is generally below overall and peer

averages for most measures with the exception of consulting where it is in line with

peers. It has a perfect recommend score.

00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability






Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Jinfonet Detailed SME Score

Peer Overall JInfonet




50

Klipfolio Detailed SME Score

Figure 28 - Klipfolio detailed SME score

A new entrant in the “Specialized” segment, Klipfolio is generally above peer and overall

averages for most measures. It is best in class for most sales measures, value,

integration with third-party technologies, ease of upgrade/migration to new versions,

online training, forums, documentation, support professionalism, and time to resolve

problems. It has a perfect recommend score.

00.5

11.5

22.5

33.5

44.5



Responsiveness

Business practices



Value

Product…

Completeness of…


Scalability

Integration of…

Integration with 3rd…Overall usabilityEase of installationEase of administrationCustomization and…

Ease of…



Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Klipfolio Detailed SME Score

Peer Overall Klipfolio




51

Logi Analytics Detailed SME Score

Figure 29 - Logi Analytics detailed SME score

A member of the “High Growth” market segment, Logi Analytics is in line with peer and

overall averages. It is best in class for time to resolve tech support problems and has a


00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability






Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Logi Analytics Detailed SME Score

Peer Overall Logi Analytics




52

Microsoft Detailed SME Score

Figure 30 - Microsoft detailed SME score

A member of the “Titan” SME market segment, Microsoft is generally above or in line

with peer averages. It is best in class for a number of product measures, overall value,

consulting professionalism, and value.

00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability

Integration of components…Integration with 3rd party…




Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Microsoft Detailed SME Score

Peer Overall Microsoft




53

Pentaho Detailed SME Score

Figure 31 - Pentaho detailed SME score

A member of the “High Growth” segment, Pentaho is generally below peer and overall

averages.

00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability

Integration of components…Integration with 3rd party…




Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Pentaho Detailed SME Score

Peer Overall Pentaho




54

Phocas Detailed SME Score

Figure 32 - Phocas detailed SME score

Phocas, a member of the “Specialized” market segment is generally in line with or

somewhat below peer averages.

00.5

11.5

22.5

33.5

44.5



Responsiveness

Business practices



Value

Product…

Completeness of…


Scalability

Integration of…

Integration with 3rd…Overall usabilityEase of installationEase of administrationCustomization and…

Ease of…



Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Phocas Detailed SME Score

Peer Overall Phocas




55

Qlik Detailed SME Score

Figure 33 – Qlik detailed SME score

In the “Large Established Pure-Play” SME market segment Qlik is the leader. It is best

in class for value, most product measures, tech support, consulting product knowledge,

and consulting value. It also has a perfect recommend score.

00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability






Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Qlik Detailed SME Score

Peer Overall Qlik




56

SAP Detailed SME Score

Figure 34 - SAP detailed SME score

In the “Titan” market segment, SAP trails peer and overall sample averages in most

categories.

00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability






Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

SAP Detailed SME Score

Peer Overall SAP




57

Tableau Detailed SME Score

Figure 35 – Tableau detailed SME score

Tableau is generally in line with peer and overall averages except for product where it is

best in class for virtually all measures.

00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability






Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Tableau Detailed SME Score

Peer Overall Tableau




58

Targit Detailed SME Score

Figure 36 - Targit detailed SME score

A new entrant in the “Specialized” segment, Targit is generally in line with peer and

overall averages except for consulting and sales measures where it falls below both

averages.

00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability





Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Targit Detailed SME Score

Peer Overall Targit




59

Tibco Detailed SME Score

Figure 37 - Tibco detailed SME score

The leader in the “High-Growth” market segment for SME, Tibco is best in class for a

majority of measures across sales, product, technical support, and consulting. It earns a


00.5

11.5

22.5

33.5

44.5



Responsiveness


Business practices



Value

Product…

Completeness of…


Scalability






Product knowledge

Responsiveness




Product knowledge

Experience

Continuity

ValueIntegrity

Recommend

Tibco Detailed SME Score

Peer Overall TIBCO




60

SME Business Intelligence Buyer’s Guide

In this section, we present an SME Business Intelligence “Buyer’s Guide” organized by

key platforms: Traditional enterprise, Cloud and Mobile, and 19 different capabilities—

which vendors contributed to during our 2014 Wisdom of Crowds® data collection

process.

An “X” indicates a feature that was available in the vendor’s product in Q1 2014.

Traditional Platform Support - Vendors (A–D) Capability Actuate

Dimensional Insight Dundas

"Embedded" BI (contained within an application, portal, etc.) X X X

Ability to write to transactional applications

Ad-hoc query X X X

Advanced visualization X X X

Big data (e.g., Hadoop) support X

X

Collaborative support for group-based analysis X X X

Complex event processing (CEP) X

Data integration/data quality tools / ETL X

Data mining and advanced algorithms X

Data visualization X X X

End-user "self service" X X X

End-user data "blending" or "mashups" X X X

In-memory support X

Interactive analysis X X X

Location intelligence / analytics X X

Personalized dashboards X X X

Pre-packaged vertical/functional analytical applications X X

Production reporting X X

Search-based interface X X

Social media analysis (Social BI) X

Text analytics X




61

Traditional Platform Support - Vendors (I)

Capability IBM Information Builders

"Embedded" BI (contained within an application, portal, etc.)

X X


X X

Ad-hoc query X X


X X

Big data (e.g., Hadoop) support

X X


X X

Complex event processing (CEP) X X

Data integration/data quality tools / ETL

X X

Data mining and advanced algorithms

X X

Data visualization

X X

End-user "self service" X X

End-user data "blending" or "mashups"

X X

In-memory support

X X

Interactive analysis

X X

Location intelligence / analytics X

Personalized dashboards

X X


X X

Production reporting

X X


Social media analysis (Social BI)

X X

Text analytics

X X




62

Traditional Platform Support - Vendors (J-L)

Capability Jaspersoft Jedox Jinfonet Logi Analytics

"Embedded" BI (contained within an application, portal, etc.) X X X X


X X X

Ad-hoc query X X X X


X X X


X X


X X


X

X

Data integration/data quality tools / ETL X X

X


X

X

Data visualization X X X X

End-user "self service" X X X X


X X X

In-memory support X X X X

Interactive analysis X X X X

Location intelligence / analytics

X X X

Personalized dashboards X X X X


X X

Production reporting X X X X


X X X


X

Text analytics

X




63

Traditional Platform Support - Vendors (M-P)

Capability Microsoft Pentaho Phocas


Ability to write to transactional applications X

X

Ad-hoc query X X X


Big data (e.g., Hadoop) support X X Collaborative support for group-based

analysis X

X


Data integration/data quality tools / ETL X X X

Data mining and advanced algorithms X X




In-memory support X X X



X



X

Production reporting X X X

Search-based interface X

X

Social media analysis (Social BI) X X X

Text analytics X




64

Traditional Platform Support - Vendors (Q-S)

Capability Qlik SAP

"Embedded" BI (contained within an application, portal, etc.) X X

Ability to write to transactional applications X X

Ad-hoc query X X

Advanced visualization X X

Big data (e.g., Hadoop) support X X

Collaborative support for group-based analysis X X


X



X

Data visualization X X


End-user data "blending" or "mashups" X X

In-memory support X X

Interactive analysis X X

Location intelligence / analytics X X

Personalized dashboards X X


X



Social media analysis (Social BI) X X

Text analytics

X




65

Traditional Platform Support - Vendors (T)

Capability Tableau Targit Tibco



X X

Ad-hoc query X X X


Big data (e.g., Hadoop) support X X X



X X


Data mining and advanced algorithms X X X






Location intelligence / analytics X X X



X X


X

Search-based interface X X X


Text analytics X X X




66

Cloud Platform Support - Vendors (A–D)

Capability Actuate Adaptive Insights Birst

Dimensional Insight

"Embedded" BI (contained within an application, portal, etc.) X X X X


X


Advanced visualization X

X X


X Collaborative support for group-based

analysis X X X X



Data mining and advanced algorithms X

X

Data visualization X X X X

End-user "self service" X X X X

End-user data "blending" or "mashups" X

X X

In-memory support X X X X

Interactive analysis X X X X


X X

Personalized dashboards X X X X

Pre-packaged vertical/functional analytical applications X X X X

Production reporting X X X X

Search-based interface X X X X


X

Text analytics X




67

Cloud Platform Support - Vendors (G -I)

Capability Good Data IBM

Information Builders


Ability to write to transactional applications X X X

Ad-hoc query X X X


Big data (e.g., Hadoop) support X X X


Complex event processing (CEP) X X X



X







X


Pre-packaged vertical/functional analytical applications X X X




Text analytics X X X




68

Cloud Platform Support - Vendors (J-L)

Capability Jaspersoft Jedox Jinfonet

Klipfolio Logi Analytics

"Embedded" BI (contained within an application, portal, etc.) X X X X X


X X

X

Ad-hoc query X X X

X


X X X X


X

X


X X X


X


X X


X

X

Data visualization X X X X X

End-user "self service" X X X X X


X X X X

In-memory support X X X X X

Interactive analysis X X X X X


X X

X

Personalized dashboards X X X X X


X X


X


X X

X


X X

Text analytics

X




69

Cloud Platform Support - Vendors (M-P)



X X


X

Ad-hoc query X

X

Advanced visualization X

X

Big data (e.g., Hadoop) support X X Collaborative support for group-based

analysis X

X


Data integration/data quality tools / ETL X


Data visualization X

X

End-user "self service" X

X


X

In-memory support X

X



X



X



X


X

Text analytics




70

Cloud Platform Support - Vendors (Q-T)

Capability Qlik SAP Tableau Targit Tibco

"Embedded" BI (contained within an application, portal, etc.) X X X X X

Ability to write to transactional applications X

X

Ad-hoc query X X X X X

Advanced visualization X X X X X


X X X X

Collaborative support for group-based analysis X X X X X


X X

Data integration/data quality tools / ETL X X X X X


X X X X




X

X

In-memory support X X X X X


Location intelligence / analytics X X X X X

Personalized dashboards X X X X X


X

X X


X

Search-based interface X X X X X

Social media analysis (Social BI) X X X X X

Text analytics

X X X X




71

Mobile Platform Support - Vendors (A-D)

Capability Actuate Adaptive Insights Birst

Dimensional Insight Dundas


X X X X X


X

Ad-hoc query X X X X X


X

X

X


X

X X


X

X



X


X

X


X



X

X

In-memory support

X X

X



X


X X X

X


X

X X


X X


X


X

X

Text analytics

X




72

Mobile Platform Support - Vendors (I)

Capability IBM Information Builders


X


X

Ad-hoc query X X


X X


X





Data visualization X X



In-memory support

X

Interactive analysis X X


X


X X


X



X


X

Text analytics

X




73

Mobile Platform Support - Vendors (J-L)

Capability Jaspersoft Jedox Jinfonet

Klipfolio Logi Analytics


X

X X


X

X



X X X X


X

X X



X


X

X X


X




X X X X

In-memory support

X X X X X



X

X


X X X X X


X

Production reporting X

X X


X X X


X X

Text analytics

X




74

Mobile Platform Support - Vendors (M-P)



X X


X

Ad-hoc query

X X


X X X


X


X




X




X

In-memory support

X X X

Interactive analysis

X X


X


X X X


X


X X


X


X X

Text analytics




75

Mobile Platform Support - Vendors (Q-T)

Capability Qlik SAP Tableau Targit Tibco


X X X

Ability to write to transactional applications X X

X

Ad-hoc query X X X

X


X X X X X


X X X X X


X X X

X


X X


X

X

X


X

X




X

In-memory support

X X X

X


Location intelligence / analytics X X X X X


X X X X X


X


X X



X X X

X

Text analytics

X X

X




76

Appendix - The 2014 Wisdom of Crowds® Business Intelligence Market

Survey Instrument




77




78




79




80




81




82




83




84




85


2014 edition small and mid-sized enterprise business intelligence … · 2018-11-17 · october 9,...

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