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2011 Wisdom of Crowds Business Intelligence Market Study TMIB51811
2011 Edition
Wisdom of Crowds
Business Intelligence Market Study TM
Study Findings and
Analysis Report
May 18, 2011
Dresner Advisory Services, LLC
Licensed to Information Builders
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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 the Wisdom of Crowds Business Intelligence Market Study Report is a
summary of 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 the Report, the study results, or for any damages incurred or
alleged to be incurred by any of the companies included in the Report as a result of its content.
Reproduction and distribution of this publication in any form without prior written permission is forbidden.
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A New Era of Business Intelligence Unfolds
Only a short while ago many had proclaimed the demise of the Business Intelligence
marketplace predicting only a few large suppliers and a dearth of innovation.
Instead, weve witnessed a renaissance that has defied conventional wisdom!
Spending for Business Intelligence solutions and services continues to grow driven by
a more mainstream understanding of its importance and value.
But, unlike the market of a few years ago, Business Intelligence has developed a
broader base driven by many small and mid-sized organizations from around the
world. This segment will continue to grow at a far faster rate than others for the
foreseeable future.
And, true to its roots, Business Intelligence has re-emerged as business-centric, withusers driving BI purchase and deployment efforts - sometimes in cooperation with IT
and other times independently. This has unleashed the demand for solutions that are
easier to buy, faster to deploy and easier to use. Its also driven the demand for be tter
process integration, mobile computing support, in-memory, and collaborative (social)
capabilities to name a few.
These changes, while welcome, will also be disruptive both for suppliers and
consumers. As a result, organizations will need to take a more active role in planning,
managing and evolving their BI portfolios.
In spite of some challenges, we welcome this new era of Business Intelligence, with the
promise of both innovation and more choices than in the past.
Best,
Howard Dresner Chief Research Officer
Dresner Advisory Services, LLC
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ContentsA New Era of Business Intelligence Unfolds.................................................................................................. 3
Background: .................................................................................................................................................. 7
About Dresner Advisory Services: ................................................................................................................. 7
Method: ........................................................................................................................................................ 8
Survey Design and Criteria: ....................................................................................................................... 8
Awareness, Recruitment & Data Gathering:............................................................................................. 9
Vendor/Market Categories: ........................................................................................................................ 10
Executive Summary: .................................................................................................................................... 12
Study Demographics: .................................................................................................................................. 14
Figure 1 - Organization Size ................................................................................................................ 14
Figure 2 - Functions Represented ....................................................................................................... 15
Figure 3 - Industries Represented ....................................................................................................... 16
Figure 4 Geographies Represented ................................................................................................ 17
Analysis & Trends ........................................................................................................................................ 19
Departmental/Functional Alignment with BI Tools: ............................................................................... 19
Figure 5- Business Intelligence Adoption by Function / Time ............................................................. 19
Figure 6 -BI Adoption by Function / Time North America ................................................................ 20
Figure 7 - BI Adoption by Function / Time EMEA ............................................................................. 21
Figure 8 - BI Adoption by Function / Time Rest-of-World ................................................................ 22
Scale of Business Intelligence Deployments: .......................................................................................... 23
Figure 9 Numbers of Users/Organization: 2010 versus 2011 .......................................................... 23
Numbers of Business Intelligence Tools in Use: ..................................................................................... 24
Figure 10 - Number of BI Tools/Organization: 2011 vs. 2010 ............................................................. 24
Figure 11 Numbers of Business Intelligence Products by Organization Size ................................... 25
Figure 12 Numbers of Business Intelligence Products by Vendor Category ..................................... 26
Experience with Business Intelligence: ................................................................................................... 27
Figure 13 Business Intelligence Deployments/Organization: 2011 versus 2010 ............................. 27
Figure 14 Business Intelligence Deployments by Industry............................................................... 28
Figure 15 Business Intelligence Deployments by Organization Size ................................................ 29
Figure 16 Business Intelligence Deployments by Vendor Category ................................................. 30
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Key Related Technologies / Initiatives .................................................................................................... 31
Figure 17 Related Technologies & Initiative Strategic to Business Intelligence .............................. 31
Figure 18 Importance of In-Memory Analysis by Vendor Category ................................................. 32
Figure 19 Importance of Mobile by Industry ................................................................................... 33
Figure 20 Importance of Big Data by Size of Organization .............................................................. 34
Figure 21 Importance of Big Data by Region ................................................................................... 35
Figure 22 Importance of Cloud/SaaS by Function............................................................................ 36
Figure 23 Importance of Cloud/SaaS by Size of Organization ......................................................... 37
Figure 24 Importance of Cloud/SaaS by Industry ............................................................................ 38
Figure 25 Importance of Open Source by Organization Size ........................................................... 39
Figure 26 Importance of Open Source by Industry .......................................................................... 40
Figure 27 Business Intelligence Spend by License/Service Type ...................................................... 41
Figure 28 Departments with Any Business Intelligence Spending ................................................... 42
Figure 29 Percentage of 2011 BI Spend by Department (among departments with spend) .......... 43
Market Segment Analysis ........................................................................................................................... 45
Figure 30 - Market Segment Alignment - Business vs. IT .................................................................... 45
Figure 31 - BI Market Segment Alignment by Industry ....................................................................... 46
Figure 32 - Market Segment Alignment by Organization Size ............................................................ 47
Figure 33 - Market Segment Alignment by Implementation Age ....................................................... 48
Industry and Vendor Analysis: .................................................................................................................... 50
Scoring Criteria ........................................................................................................................................ 50
Overall Industry Performance ................................................................................................................. 51
Figure 34 Industry Performance Sales/Acquisition Experience .................................................... 51
Figure 35 - Industry Performance - Value: 2010 vs. 2011 ................................................................... 52
Figure 36 - Industry Performance: Quality and Usefulness of Products ............................................. 53
Figure 37 - Industry Performance: Technical Support ........................................................................ 54
Figure 38 - Industry Performance: BI Vendor Consulting ................................................................... 55
Figure 39 - Industry Performance: Recommended ............................................................................. 56
Vendor Stacked Rankings: ........................................................................................................................... 57
Business Intelligence Titans .................................................................................................................... 57
Figure 40 - Business Intelligence Titans - Stacked Rankings ............................................................... 58
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Established Pure-play Business Intelligence Vendors ............................................................................. 58
Figure 41 - Business Intelligence Established Pure-plays - Stacked Rankings ..................................... 58
Emerging Business Intelligence Vendors ................................................................................................ 59
Figure 42 Business Intelligence Emerging Vendors Stacked Rankings .......................................... 59
Open Source Business Intelligence Vendors ........................................................................................... 59
Figure 43 Open Source Business Intelligence Vendors Stacked Rankings .................................... 60
Detailed Vendor Scores:.......................................................................................................................... 60
Figure 44 - Sample Vendor Detailed Scoring Chart ............................................................................. 61
Figure 45 Actuate/BIRT Detailed Score ............................................................................................ 62
Figure 46 Dimensional Insight Detailed Score ................................................................................. 63
Figure 47 - IBM/Cognos Detailed Ranking .......................................................................................... 64
Figure 48 - Information Builders Detailed Score ................................................................................. 65
Figure 49 - Jaspersoft Detailed Score .................................................................................................. 66
Figure 50 - Microsoft Detailed Score .................................................................................................. 67
Figure 51 - MicroStrategy Detailed Score ........................................................................................... 68
Figure 52 - Oracle Detailed Score........................................................................................................ 69
Figure 53 - Pentaho Detailed Score .................................................................................................... 70
Figure 54 PivotLink Detailed Score ................................................................................................... 71
Figure 55 - QlikTech Detailed Score .................................................................................................... 72
Figure 56 - SAP/Business Objects Detailed Score ............................................................................... 73
Figure 57 - SAS Institute Detailed Score.............................................................................................. 74
Figure 58 - Tableau Detailed Score ..................................................................................................... 75
Figure 59 - Tibco/Spotfire Detailed Score ........................................................................................... 76
Figure 60 - Yellowfin Detailed Score ................................................................................................... 77
Appendix - The Wisdom of Crowds Business Intelligence Market Survey Instrument............................... 78
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Background:
In April 2010, Dresner Advisory Services published its inaugural, landmark Wisdom of
Crowds Business Intelligence Market Study with the intent of offering a fresh and
objective view of the market by giving a voice to those actually using Business
Intelligence (BI) solutions.
In it we explored the perceptions, intentions and realities surrounding the Business
Intelligence market from a number of perspectives and helped to shed light on current
and emerging market dynamics.
At that time we conceived our trademark 32-criteria vendor evaluation model and
ranked 15 Business Intelligence vendors.
In addition to broad market acceptance, we received acknowledgement and acclaim
from the press, including InformationWeek, TechTarget, Smart Data Collective, ebizQ,
TDWI, Intelligent Enterprise, ITBusinessEdge, and Information Management.
The overwhelming success of this initial project formed the basis for the annual
publication of this study.
About Dresner Advisory Services:
The Wisdom of Crowds 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 andPerformance 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 globe 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 course of the past sixteen years and is an expert in analyzing these markets.
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Our most recent market studies include the DAS Mobile Business Intelligence Market
Studies and the widely acclaimed, annual Wisdom of Crowds Business Intelligence
Market Study .
Method:Using a straightforward and easy to complete online survey instrument (see appendix)
we focused upon a host of market-related questions and our trademark 32 criteria
vendor and product scoring.
The study was opened for input to any valid users with first-hand BI vendor and product
experience. Although specific vendor selections were listed, any vendor or product
could be entered.
As this is our second year of conducting this study, we were able to provide a number of
year-over-year comparisons from 2010 to 2011.
Survey Design and Criteria:
Survey criteria were designed to elicit first-hand and real-world user experiences with
Business Intelligence and associated vendors and products:
Survey criteria included the following market topics:
- Budget allocations by department/function
- Spend by license and service type
- Key related technologies
- Vendor characterization- Use of latest software version
- Open Source: community versus commercial
Vendor/product scoring criteria included:
- Sales/acquisition experience 8 criteria
- Value for price paid (Excellent Poor)
- Quality and usefulness of product 12 criteria
- Quality of technical support 5 criteria
- Quality and value of consulting services -5 criteria- Whether vendor is recommended (Yes/No)
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In addition, the following demographics were captured:
- Title, Function, Industry, Size of company, Geography
- Numbers of BI products being used, Vendor, Product
- Length of time product has been in use, Numbers of users of product
See Detailed Vendor Rankings and the Appendix for more detail on study criteria.
Awareness, Recruitment & Data Gathering:
To publicize the study and garner support, we aggressively leveraged social media sites
(e.g., Twitter, LinkedIn, Facebook), the press and existing email. Strong support was
received from all corners, including key press: BusinessIntelligenceEdge, Information
Management, ITBusinessEdge, TechTarget, and numerous blogs and re-tweets.
Vendors were also allowed to direct customers to the study.
To ensure that input was from actual users, we rejected any responses that could not
be validated. Additionally, surveys completed by vendors or their agents were deleted.
Approximately 10% of the sample was discarded.
After final data quality processing, the total number of respondents in the sample was
630, an increase of 40% over 2010.
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Vendor/Market Categories:
For the purposes of this report, we have created four different BI industry sub-
categories in which to group vendors and analyze market behavior and direction. As in
2010, these include the Titans, Established Pure-play, and Emerging vendors. This
year we have added Open Source BI vendors as a fourth category.
Titans are the largest vendors, with extensive product and service offerings including
Business Intelligence. In all cases these vendors have acquired Business Intelligence
vendors (e.g., Oracle and Hyperion, IBM and Cognos, SAP and BusinessObjects).
Vendors in this category include: IBM/Cognos, Microsoft, Oracle and
SAP/BusinessObjects.
Established Pure-Play BI vendors are predominately focused upon Business
Intelligence software and services and have typically been in business for 15 or more
years - with well established customer bases and revenue streams. Several are publicly
held concerns. These include Information Builders, MicroStrategy, QlikTech and TheSAS Institute.
Emerging BI vendors are typically younger than other categories and offer unique and
often innovative business models, technologies and/or services. This category includes:
Dimensional Insight, PivotLink, Spotfire (Tibco), Tableau and Yellowfin. The vendors
Arcplan, Birst, and Good Data also belong in this category, but could not be ranked due
to small numbers of completed surveys.
Open Source BI vendors have all adopted an open source approach to Business
Intelligence, offering both a community (free) and commercial editions of theirproduct(s). These include Actuate, Jaspersoft and Pentaho. Jedox (Palo) is also an
open source BI vendor, but was not included in the rankings due to the small number of
completed surveys.
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Executive
Summary
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Executive Summary:
Functional alignment within organizations for Business Intelligence continues to shift.
Most notably, in North America, business users appear to be increasingly driving BI
adoption. We believe that the trend towards business-dominated BI is a global trend,
with other geographies lagging behind North America by several years.
The natural size of the BI workgroup appears to be settling at between 6 50
users larger than in 2010. The shift away from extremely large BI deployments,
noted in 2010, continues in 2011. The numbers of (overlapping) BI tools continues to
growespecially in the largest organizations and those using tools from Titans.
Users employing Commercial Open Source BI were less likely to have multiple BI
tools.
The numbers of new Business Intelligence deployments appears to have slowed in
2011 compared with 2010, with growth coming from expansion of existingdeployments. Decreases were pronounced in Financial Services, for nearly all size
organizations, and for Established Pure-play vendors. Highest new deployment rates
were found in Government and Technology verticals, and Open Source and
Emerging vendor segments.
Among the most important related technologies/initiatives was Integration with
operational processes, Data mining and advanced algorithms and In-memory
analysis. Other technologies showed demand in specific segments including
Mobile, Big Data, Open Source, and Software-as-a-Service.
A total of 63% of respondents reported budget increases in at least one BI area and
31% of respondents had increases of more than 10% in at least one area. Growth in
spending for 2011 will favor traditional Business Intelligence software licenses,
followed by services from BI vendors and third parties. Finance was the function that
had budget allocated most frequently for BI, but IT and Sales had the largest
allocation within most organizations.
Of the four Business Intelligence sub-segments, all but Emerging products are
adopted predominately by the IT function. Titans and Established Pure-plays havethe broadest distribution across all organization sizes, while Open Source and
Emerging vendors were more dominant in smaller ones. And, Open Source and
Emerging vendors appear to have the youngest customer bases with the largest
percentage of adoption within the past 2+ years.
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Study
Demographics
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Study Demographics:
As with last year, our goal was to obtain a balanced base of survey respondents in
order to create a truly representative sample and thereby more accurately reflecting
market sentiment.
This years sample has a similar distribution to last year with the smallest organizations
comprising 27% of the sample and the largest with 21%. However, there was some
modest shifting within the middle with organizations between 5,001 and 10,000 growing
from 5% to 8%, and those between 1,001 2,000 decreasing from 8% in 2010 to 6% in
2011.
Figure 1 - Organization Size
27%
29%
8%
10%
5%
21%
27% 27%
6%
10%9%
21%
0%
10%
20%
30%
40%
50%
1 - 100
Employees
101 - 1,000
Employees
1,001 - 2,000
Employees
2,001 - 5,000
Employees
5,001 - 10,000
Employees
More than
10,000
Employees
Number of Employees
2010 2011
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We were quite pleased to see far greater business user/management participation in
2011 versus 2010. This year the IT Department comprised 50% of the overall sample
versus 61% in 2010 (Figure 2).
Figure 2 - Functions Represented
61%
12%
7%
1%
8%11%
50%
10%8%
6% 6%
17%
0%
20%
40%
60%
80%
100%
Information
Technology (IT)
Sales and
Marketing
Finance Operations Research and
Development
(R&D)
Other
Function
2010 2011
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As with last year we have similar distribution across multiple industries, with strong
representation from key industries including: Retail & Wholesale, Healthcare, and
Financial Services.
Figure 3 - Industries Represented
12% 12%11%
10%
15%
6%
4%
30%
13%
12% 12%12%
14%
6%5%
27%
0%
10%
20%
30%
40%
Consulting Financial
Services
Health Care Retail &
Wholesale
Technology Manufacturing Government Other
Industry
2010 2011
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Strong responses from around the world (Figure 4) have given a broad and more global
perspective to the study. In contrast to 2010, we had stronger participation in 2011 from
North America and EMEA and somewhat less from other geographies. We also had a
large enough sample this year to break out Australia and New Zealand from APAC.
Figure 4 Geographies Represented
57%
7%
22%
14%
61%
2%
26%
7% 5%
0%
20%
40%
60%
80%
100%
North America Latin America EMEA Asia-Pacific Australia-NZ
Geography
2010 2011
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Analysis
& Trends
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Analysis & Trends
Departmental/Functional Alignment with BI Tools:
Last year we observed a shift from IT alignment (and deployment) of Business
Intelligence, in favor of business management and users. In this years study, we see
this trend continuing, with the decline of IT deployments starting ~ 5 years ago and with
organizations globally reporting that more than half of deployments are now more
closely aligned with business users and not IT (Figure 5)
Figure 5- Business Intelligence Adoption by Function / Time
As with last year, this apparent trend may be due to reductions in IT Departmental
staffing and budgets during the economic recession. Finance, and its alignment with
Business Intelligence, has remained relatively steady throughout, while Sales &
48%
63%
51%
49% 49%
14%
8%
9%9% 7%
14%
6%
11%12%
9%
25% 24%29% 31%
36%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
More than 10
years
6 - 10 years 3 - 5 years 1 - 2 years Less than 1 year
BI Adoption by Function - All Regions
Information Technology Finance Sales and Marketing Other
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Marketing appears to have declined. In contrast, other functions (e.g., Exec. Mgmt.,
HR, Manufacturing, Operations, R&D, Supply Chain) have grown.
This trend is most pronounced if we look exclusively at North America (Figure 6). Here
we can see that business users have consistently taken charge of Business Intelligence
for the past 5+ years.
Figure 6 -BI Adoption by Function / Time North America
This may account for the myriad of tools that have emerged in recent years, which cater
to users in many cases sidestepping the IT Department. In particular, we see very
strong growth in adoption by Other business functions.
55%
69%
53%47% 44%
12%
10%
9%
7%4%
6%
2%
10%
15%
7%
27%
19%
28%32%
44%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
More than 10 years 6 - 10 years 3 - 5 years 1 - 2 years Less than 1 year
BI Adoption by Function - North America
Information Technology Finance Sales and Marketing Other
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In contrast, both EMEA (Figure 7) and Rest-of-World - e.g., APAC, LATAM (Figure 8)
appear to favor IT-based BI deployments more than in North America.
Figure 7 - BI Adoption by Function / Time EMEA
While this trend appears to have leveled off in EMEA, IT-driven deployments of
Business Intelligence appear to be on the rise in other parts of the world.
30%
48% 47%51% 50%
20%
5% 8%
11%11%
40%
19% 16%6%
14%
10%
29% 29% 31%25%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
More than 10 years 6 - 10 years 3 - 5 years 1 - 2 years Less than 1 year
BI Adoption by Function - EMEA
Information Technology Finance Sales and Marketing Other
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Our interpretation of this data is that all geographies are moving towards business-
dominated BI. However, EMEA and ROW are lagging behind North America by several
years.
Figure 8 - BI Adoption by Function / Time Rest-of-World
0
50% 50% 52%58%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
More than 10 years 6 - 10 years 3 - 5 years 1 - 2 years Less than 1 year
BI Adoption by Function - Rest of World
Information Technology Finance Sales and Marketing Other
Key Takeaways: Functional alignment within organizations for Business Intelligence
continues to shift. Most notably, in North America, business users appear to be
increasingly driving BI adoption. We believe that the trend towards business-dominated BI is a global trend, with other geographies lagging behind North America
by several years.
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Scale of Business Intelligence Deployments:
In last years report we noted a paradigm shift in the industry away from large
implementations and in favor of smaller or moderately sized ones.
In comparing deployment data from 2010 with that from 2011 we see a continuation of
this trend, with extremely large deployments in apparent decline (Figure 9). However,we also observe that a new center of gravity for deployment size may be emerging
with sizes of between 6 50 increasing and the smallest (1-5) decreasing. This trend
offers a glimpse of what future BI group sizes will look like.
Figure 9 Numbers of Users/Organization: 2010 versus 2011
20.0%
9.1%
7.8%
12.9% 12.9%
9.8%
8.6%
6.4%
12.4%
17.3%
11.0%
8.3%
16.1%
11.1%
9.5% 9.1%
5.6%
12.0%
0%
10%
20%
30%
1 - 5 6 - 10 11 - 20 21 - 50 51 - 100 101 - 200 201 - 500 501 -
1,000
More
than1,000
Numbers of BI Users/Organization: 2010 vs. 2011
2010 2011
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Numbers of Business Intelligence Tools in Use:
For quite some time weve observed the growing proliferation ofmultiple Business
Intelligence tools, predominately within the largest of organizations (Figure 10). With the
growing presence of products which cater to business users and departmental
functions, it would appear that the numbers of tools within many organizations will
continue to expand. And, as we noted last year, these statistics understate the issue, as
many users are unaware of all the tools being used within their organizations.
Figure 10 - Number of BI Tools/Organization: 2011 vs. 2010
36%
39%
24%26%
47%
27%
-10%
0%
10%
20%
30%
40%
50%
60%
One Two or Three Four or More
Number of BI Tools/Organization: 2010 vs. 2011
2010 2011
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Like in 2010, the largest organizations tend to have the great variety of Business
Intelligence tools (Figure 11). This has occurred over time as departmental/functional
groups have invested in BI tools without the benefit (or knowledge) of corporate
standards or even what other functions might be using. In fact, we found that in some
instances multiple respondents from the same companies thought that their tool was the
only one.
As budgets shift away from IT and towards end user departments, these numbers will
continue to rise. Of course, with common semantics, metadata and data warehousing,
this might not be as much of an issue. From my experience, however, this is not the
approach that most are taking. As a result, enterprises can expect the age-old problem
of multiple and conflicting answers to business questions.
Figure 11 Numbers of Business Intelligence Products by Organization Size
23%
35%30%
22%15% 17%
43%
45%
45%
46%
44%46%
25%
11%18% 30%
36% 28%
9% 9% 8% 3% 5% 9%
0%
20%
40%
60%
80%
100%
Overall 1 - 100 101 - 1,000 1,001 - 2,000 2,001 - 5,000 5,001 - 10,000
Numbers of BI Products by Size of Organization
One Two or Three Four or more Don't Know
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When looking at numbers of tools by vendor category (Figure 12), we were interested to
learn that Commercial Open Source BI users were less likely to have multiple tools. In
contrast, BI users, with software from Titan vendors, were much more likely to have
multiple tools. Of course Titan vendors typically serve the largest of organizations
which also have the greatest numbers of tools. And, (not surprisingly) Emerging BI
users were more likely to be unaware of how many tools were in use in the
organization.
Figure 12 Numbers of Business Intelligence Products by Vendor Category
23%
13%
32%25%
21% 19%
43% 61%
42%
44%44%
37%
25%
26%18%
19% 27%
35%
9% 8% 12%8% 8%
0%
20%
40%
60%
80%
100%
Overall Open Source
Community
Open Source
Commercial
Emerging Pureplay Titan
Numbers of BI Products by Vendor Category
One Two or Three Four or more Don't Know
Key Takeaways: The natural size of the BI workgroup appears to be settling atbetween 6 50 users larger than in 2010. The shift away from extremely large BI
deployments, noted in 2010, continues in 2011. The numbers of (overlapping) BI tools
continues to grow especially in the largest organizations and those using tools from
Titans. Users employing Commercial Open Source BI were less likely to have
multi le BI tools.
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Experience with Business Intelligence:
In order to better understand the growth of the industry, we take a closer look at the age
of Business Intelligence deployments (Figure 13).
In 2010, we saw an unusually large number of new BI deployments most especially in
small and mid-sized organizations. Since that time, these implementations have shiftedto the 1-2 years category, with stability in the 3 - 10+ year categories.
Most notable is an apparent decline in new implementations for 2011 over 2010, with
much of the market growth coming from the expansion of existing implementations.
Figure 13 Business Intelligence Deployments/Organization: 2011 versus 2010
25%
16%
32%
18%
9%
19%
25%
31%
16%
9%
0%
10%
20%
30%
40%
50%
Less than 1 year 1-2 years 3-5 years 6-10 years More than 10
years
BI Deployments/Organization - 2010 vs. 2011
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For 2011, almost all industries seem to be implementing fewer new Business
Intelligence solutions than in 2010 (Figure 14). The substantial growth last year
especially within SMEs has created the larger base which is now expanding the
numbers of BI users for 2011.
The largest declines in new implementations are within the Financial Services andTechnology industry segments. The exceptions to this are Manufacturing and
Government the two (apparent) growth segments for 2011.
Figure 14 Business Intelligence Deployments by Industry
19% 19%14%
18%
9%
20%
27% 25% 23%
25% 28%
23%
26%
12%
40%
24%18% 23%
31% 25%
34%
29%
36%
24%
24%46%
33%
16%
14%18%
21%
25%
8%
18%
4%
17%
9%15%
11%7%
18%
7% 6% 7%4%
0%
20%
40%
60%
80%
100%
Overall Consulting Financial
Services
Health Care R etail &
Wholesale
Technology Manufacturing Government Other
BI Deployments by Industry
Less than 1 year 1 - 2 years 3 - 5 years 6 - 10 years More than 10 years
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As we can see from Figure 15, there was substantial growth in 2010 implementations
for small and mid-sized organizations. Although lower in 2011, these organizations
continue to implement BI at an above-average rate. The exception is organizations
between 5,001 and 10,000 employees where growth of deployments appears to have
doubled over 2010 especially in Healthcare and Government.
Figure 15 Business Intelligence Deployments by Organization Size
19%22%
24%
16%
8%
31%
10%
25%
31% 26%
16%30%
15%
18%
31%
28% 31%
30%
34%
29%
34%
16%10%
12%
27%
21% 13%
26%
9% 10%6%
11%7%
12% 12%
0%
20%
40%
60%
80%
100%
Overall 1 - 100 101 - 1,000 1,001 - 2,000 2,001 - 5,000 5,001 - 10,000 More than 10,000
BI Deployments by Organization Size
Less than 1 year 1 - 2 years 3 - 5 years 6 - 10 years More than 10 years
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When looking at deployments by vendor category (Figure 16), Open Source and
Emerging vendors saw above average new deployments for 2011, with Titan and
Established Pure-play categories experiencing below average numbers of new
deployments.
Figure 16 Business Intelligence Deployments by Vendor Category
19%26%
21%
12% 15%
24%
38%
23%
19%19%
31%
28%
29%
30%
36%
16%
5%
17%
19%
23%
9%3%
10%
19%
7%
0%
20%
40%
60%
80%
100%
Overall Open Source Emerging Pureplay Titan
BI Deployments by Vendor Category
Less than 1 year 1 - 2 years 3 - 5 years 6 - 10 years More than 10 years
Key Takeaways: The numbers of new Business Intelligence deployments appears to
have slowed in 2011 compared with 2010, with growth coming from expansion of
existing deployments. Decreases were pronounced in Financial Services, for nearly
all size organizations and for Established Pure-play vendors. Highest new
deployment rates were found in Government and Technology verticals, and Open
Source and Emerging vendor segments.
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Key Related Technologies / Initiatives
This year we opted to expand our study to include substantially more market data and
analysis. In this section we explore technologies and initiatives which are deemed
strategic to respondents Business Intelligence efforts. In all, we asked about nine
areas, as noted in Figure 17.
Topping the list of importance (by mean average), is Integration with operational
processes, Data mining and advanced algorithms and In-memory analysis. Those
technologies & initiatives deemed less important were Open Source, Software-as-a-
Service and Big Data.
Figure 17 Related Technologies & Initiative Strategic to Business Intelligence
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Open source software
Software-as-a-service and "cloud computing"
Big data
Ability to write to transactional applications
Mobile device support
Collaborative support for group-based analysis
In-memory analysis
Data mining and advanced algorithms
Integration with operational processes
Importance of Related Technologies
Unimportant Somewhat Important Very Important Critical
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Where significant, we created crosstab analyses, using key demographics to better
understand the importance of related technologies.
In Figure 18, we examine the importance of In-memory analysis (number 3 out of 9) by
the various vendor market categories. We found that users of Commercial Open Source
and Established Pure-play BI products were more likely to view this feature as critical orimportant. In contrast, there was less interest in in-memory analysis within the Titan and
Community Open Source BI customer bases.
Anecdotally, the Finance function favored in-memory analysis over other functions.
Figure 18 Importance of In-Memory Analysis by Vendor Category
15%
28%
14% 13% 10%
21%
38%
34%
34% 39%
33%
42%
34%
38%
33%
36%
38%
28%
13%
19%
12%18%
9%
0%
20%
40%
60%
80%
100%
Overall Open Source
Community
Open Source
Commercial
Emerging Pureplay Titan
Importance of In-Memory Analysis by Vendor Category
Unimportant Somewhat Important Very Important Critical
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Although not a top priority overall (number 5 out of 9), Mobile computing holds the
greatest importance to the Retail & Wholesale vertical industry (Figure 19). We can
confirm this as a result of our own recent Mobile BI research and case studies.
Other vertical industries that view Mobile Business Intelligence as important include
Technology and Consulting.
In contrast, Healthcare, Financial Services, and Government view Mobile as less
important.
Anecdotally, the Executive and Sales & Marketing functions have the most interest in
Mobile BI.
Figure 19 Importance of Mobile by Industry
19%
10%
27%
37%
13% 13%
21%26%
18%
42%
43%
44%
44%
38%35%
45%37%
47%
26%
35%
15%
11%
28% 34%
21%33% 28%
12% 13% 14%7%
21% 18%12%
4% 8%
0%
20%
40%
60%
80%
100%
Overall Consulting Financial
Services
Health Care Retail &
Wholesale
Technology Manufacturing Government Other
Importance of Mobile by Industry
Unimportant Somewhat Important Very Important Critical
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Although a lower priority overall (7 out of 9), Big Data holds greater interest for the
largest organizations of 10,000 employees or more (Figure 20). Not surprisingly, small
and mid-sized organizations have the least interest in Big Data.
Anecdotally, R&D, as a function, has the most interest in Big Data.
Figure 20 Importance of Big Data by Size of Organization
33% 38%
40%
29%37% 37%
16%
28%
29%32%
26%
23% 24%
27%
27%
25%21%
26%
32%25%
39%
11%8% 8%
18%
8%14%
18%
0%
20%
40%
60%
80%
100%
Overall 1 - 100 101 - 1,000 1,001 - 2,000 2,001 - 5,0005,001 - 10,000 More than
10,000
Importance of Big Data by Size of Organization
Unimportant Somewhat Important Very Important Critical
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Big Data appears to hold the greatest interest in Asia and Latin America, followed by
North America (Figure 21). It has lower interest in EMEA and Australia/NZ. This
phenomenon may be due to the close alignment of Big Data with Open Source
technologies such as Hadoop and MapReduce, which have high acceptance outside of
North America.
Figure 21 Importance of Big Data by Region
33%
3%
38%
13%
33%
55%
28%
28%
25%
38%
30%
23%
28%
53%
29%
38%
25%
16%
11%17%
8%13% 12%
6%
0%
20%
40%
60%
80%
100%
Overall Asia- Pacific EMEA Latin America North America Australia-NZ
Importance of Big Data by Region
Unimportant Somewhat Important Very Important Critical
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Although a somewhat lower order priority to respondents (8 out of 9), Cloud and
Software-as-a-Service generate a great deal of buzz in the marketplace. As we can
see in Figure 22, it seems to resonate more so with the Sales & Marketing function than
all others. The Finance and IT functions are less inclined. This is (presumably) due to
concerns surrounding security, privacy and control.
Figure 22 Importance of Cloud/SaaS by Function
34%40%
29%
19%
30%
36%
35%
50%
40%
32%
19%
16%15%
26%
24%
11% 8%6%
15% 14%
0%
20%
40%
60%
80%
100%
Overall Information
Technology
Finance Sales & Marketing Other
Importance of Cloud by Function
Unimportant Somewhat Important Very Important Critical
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As expected, smaller organizations appear most interested in Cloud and SaaS in
relation to Business Intelligence (Figure 23). This is likely due to anticipated cost
savings and rapid implementation times, which are features most often ascribed to
cloud-based solutions.
With few exceptions, larger organizations are less inclined to embrace Cloud/SaaSBusiness Intelligence solutions.
Figure 23 Importance of Cloud/SaaS by Size of Organization
43%
34%
43%
34%
60%
50% 48%
29%
29%
27%
51%
28%
22%31%
20%
24%
21%
11%12%
18%
18%
8%13%
10%3%
0%
10%
3%
0%
20%
40%
60%
80%
100%
Overall 1 - 100 101 - 1,000 1,001 - 2,000 2,001 - 5,000 5,001 - 10,000 More than
10,000
Importance of Cloud by Size of Organization
Unimportant Somewhat Important Very Important Critical
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When examining interest by industry, the Technology vertical was by far the most
interested in Cloud/SaaS BI solutions (Figure 24). In sharp contrast, Government, Retail
& Wholesale and Financial Services had the lowest level of interest.
Figure 24 Importance of Cloud/SaaS by Industry
34%28%
42%37% 38%
17%
30%
48%
37%
36%
38%
35%
33%
45%
23%
43%
44%
36%
19% 28%
17%
21%
12%
26%
20%
4%
18%
11%8% 6% 9%
4%
34%
7%4%
9%
0%
20%
40%
60%
80%
100%
Overall Consulting Financial
Services
Health Care Retail &
Wholesale
Technology Manufacturing Government Other
Importance of Cloud by Industry
Unimportant Somewhat Important Very Important Critical
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Although the initiative with the lowest level of general interest (9 out of 9), it had higher
interest within small and mid-sized organizations (Figure 25). In contrast, larger
organizations tended to have less interest in Open Source BI.
Anecdotally, among functions, R&D had the stronger interest in Open Source BI.
Figure 25
Importance of Open Source by Organization Size
43%
34%
43%
34%
60%
50% 48%
29%
29%
27%
51%
28%
22%31%
20%
24%
21%
11%12%
18%
18%
8%13%
10%3%
0%
10%
3%
0%
20%
40%
60%
80%
100%
Overall 1 - 100 101 - 1,000 1,001 - 2,000 2,001 - 5,000 5,001 - 10,000 More than
10,000
Importance of Open Source by Size of Organization
Unimportant Somewhat Important Very Important Critical
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When looking at open source BI by industry (Figure 26), the Technology and
Government verticals had the strongest interest. Financial Services and Retail &
Wholesale had among the lowest interest.
Figure 26 Importance of Open Source by Industry
43% 43%48%
34%
48%
30%
48%41%
49%
29% 31%
29%
41%
27%
24%
23% 37%
28%
20% 20%18%
18% 20%
25%
23% 7%
19%
8% 6%5% 7% 5%
20%
6%
15%
4%
0%
20%
40%
60%
80%
100%
Overall Consulting Financial
Services
Health Care R etail &
Wholesale
Technology Manufacturing Government Other
Importance of Open Source by Industry
Unimportant Somewhat Important Very Important Critical
Key Takeaways: Among the most important related technologies/initiatives was
Integration with operational processes, Data mining and advanced algorithms andIn-memory analysis. Other technologies showed demand in specific segments
including Mobile, Big Data, Open Source, and Software-as-a-Service.
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Budget and Spend Plans and Trends
This year we expanded our study to include budget and spending plans (Figure 27). To
this end, we asked about increases in expenditures by different classes of solutions and
the allocation of budget by function. These include traditional BI software licenses,
Open Source BI, Software-as-a-Service BI, and services from BI software vendors andthird party providers.
Figure 27 Business Intelligence Spend by License/Service Type
-10%
0%
10%
20%
30%
40%
50%
TraditionalBISW
OpenSourceBISW
SaaSBI
Se
rvicesfromSWV
endor
Servicesfrom3rdPty
Other
Spend by License/Service Type
More than
10% Increase
10% Increase
5% Increase
5% Decrease
10%
Decrease
More than
10%
Decrease
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The majority of increase in spending will be allocated to traditional software licenses
(Figure 28). This doesnt come as a surprise since this has been the dominant model for
decades. This category is also seeing the greatest decline. In contrast, Open Source
and SaaS BI are seeing important, albeit, modest investment.
Additionally, 63% of respondents reported budget increases in at least one BI area.31% of respondents had BI budget increases of more than 10% in at least one area.
Those respondents were more than twice as likely to be using their current product for
less than one year (and less likely to be using it for more than 5 years). They were also
more likely to think that software-as-a-service or cloud computing is important. There
were no differences by vendor category, region, industry, function, or size.
There is also very strong demand (and increased spending) for consulting services
most especially from the BI software vendors, followed by independent professional
service providers. Having spoken to a number of vendors, they have shared that
customers are increasing their demand for services. This phenomenon can beexplained by at least two factors: smaller deployments growing into more complex and
larger deployments and user-based deployments continuing to expand without the
needed assistance of an internal IT function.
Figure 28 Departments with Any Business Intelligence Spending
0% 10% 20% 30% 40% 50% 60%
Manufacturing
Distribution
Human Resources
Research and Development
Marketing
Sales
C Level Executive
IT Department
Finance
Departments with BI Budget Allocations
Spend
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When examining budgets, the Finance function, followed by IT, C-Level Executives, and
Sales were most often allocated some percentage for Business Intelligence (Figure 28).
When we look more closely (Figure 29), we see that IT will receive the lions share of BI
budget for 2011, followed by Sales, Finance, R&D and C-Level Executives.
The lowest BI budget allocations were for Human Resources and Distribution.
With the shift towards business deployment of BI, we expect that budget allocations will
change accordingly.
Figure 29 Percentage of 2011 BI Spend by Department (among departments with spend)
86.1%
77.0%
72.1%
71.4%
68.9%
69.2%
58.5%
53.5%
53.1%
11.1%
14.8%
21.0%
22.0%
17.5%
13.2%
27.7%
33.1%
18.8%
2.8%
8.1%
6.9%
6.6%
13.6%
17.6%
13.8%
13.4%
28.2%
0% 20% 40% 60% 80% 100%
Human Resources
Distribution
Marketing
Manufacturing
C Level Executive
Research and
Development
Finance
Sales
IT Department
Percent of 2011 BI Spend by Department
1% to 20% 21% to 40% 41% or more
n= 309
n= 159
n= 325
n= 286
n= 269
n= 135
n= 233
n= 91
n= 144
Key Takeaways: A total of 63% of respondents reported budget increases in at leastone BI area and 31% of respondents had increases of more than 10% in at least one
area. Growth in spending for 2011 will favor traditional Business Intelligence software
licenses, followed by services from BI vendors and third parties. Finance was the
function that had budget allocated most frequently for BI, but IT and Sales had the
largest allocation within most organizations.
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Market
Segment
Analysis
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Market Segment Analysis
For the purpose of analysis and rankings, vendors have been grouped into four
categories, based on general market profiles. These categories are: Titans,
Established Pure-plays, Emerging vendors and Open Source vendors.
Titans include the largest global enterprise software vendors with Business Intelligenceofferings. Established Pure-play vendors include larger vendors that are primarily
focused upon Business Intelligence software and solutions. Emerging vendors may fall
into one of several categories, including SaaS, visualization tools, desktop tools, etc.
Open Source BI vendors subscribe to a community model offering some software
components at no cost, with a commercial offering available fora fee.
When examining alignment by corporate function, the Emerging segment has the
highest percentage of business adopters versus all other categories (Figure 30). In
contrast, all other segments seemed most aligned with the IT function.
Figure 30 - Market Segment Alignment - Business vs. IT
61%
37%
62%55%
8%
7%
10%
6%
6%10%
4%
13%
7%13%
32% 28%
40%
25% 26%
0%
20%
40%
60%
80%
100%
Overall Open Source Emerging Pureplay Titan
Vendor Category by Function
Other
Sales and Marketing
Finance
Information Technology
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When examining the market from an industry perspective, the inclination towards one BI
segment over the other is less well defined (Figure 31).
Figure 31 - BI Market Segment Alignment by Industry
The Financial Services segment appears to favor Established Pure-play vendors, while
Healthcare aligns most closely with Emerging vendors. Retail & Wholesale have
adopted Established Pure-plays, followed by Emerging vendors, while the Technology
vertical has strong adoption of Open Source. In Government there appears to be a split
preference for both Established Pure-plays and Open Source BI.
13% 13% 12% 10%
19%
12% 14%
6%17%
14%
12% 8%17%
6%
9%
13%
9%
16% 18%8%
14%25%
14%9% 9%
6%5% 6%
4% 6%
5%
9%3%
9%3%
27%20%
25% 27%32%
0%
20%
40%
60%
80%
100%
Overall Open Source Emerging Pureplay Titan
Vendor Category by Industry
Other
Government
Manufacturing
Technology
Retail & Wholesale
Health Care
Financial Services
Consulting
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Figure 32 - Market Segment Alignment by Organization Size
When looking at size of organization (Figure 32), Titans and Established Pure-play
products are distributed across a wide range of organization sizes and are dominant
in the largest organizations. In contrast, Emerging and Open Source BI products have a
strong concentration of adoption within small and mid-sized organizations and in a
minority of larger organizations.
27%33% 35%
17% 18%
27%
43%
30%
16%21%
6%
4%
2%
17% 6%
10%
7%
9%
15%
13%
9%
7%
8%
11%
8%
21%
7%
17%
25%
35%
0%
20%
40%
60%
80%
100%
Overall Open Source Emerging Pureplay Titan
Vendor Category by Organization Size
More than 10,000
5,001 - 10,000
2,001 - 5,000
1,001 - 2,000
101 - 1,000
1 - 100
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If we look at the market segments by the age of the implementation, it appears that
Open Source and Emerging BI vendors have the youngest base of customers, with the
largest percentage of implementations within the last 3 years. In contrast, Titans and
Established Pure-play vendors have a more mature base of customers, with the
majority implemented more than 3 years ago.
Figure 33 - Market Segment Alignment by Implementation Age
26%21%
12% 15%
38%
23%
19%19%
28%
29%
30%
36%
5%
17%
19%
23%
3%10%
19%
7%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Open Source Emerging Pureplay Titan
BI Adoption Over Time by Vendor Type
More than 10 years6 - 10 years
3 - 5 years
1 - 2 years
Less than 1 year
Key Takeaways: Of the four Business Intelligence sub-segments, all but Emerging
products are adopted predominately by the IT function. Titans and Established Pure-
plays have the broadest distribution across all organization sizes, while Open Source
and Emerging vendors were more dominant in smaller ones. And, Open Source andEmerging vendors appear to have the youngest customer bases with the largest
percentage of adoption within the past 2+ years.
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Industry
and
Vendor
Analysis
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Industry and Vendor Analysis:
In this section we will review Business Intelligence vendor and market performance,
using our trademark 32-criteria evaluation model.
Scoring Criteria
The criteria for the various industry and vendor rankings are grouped into six categories
including Sales/acquisition experience, Value for price paid, Quality and usefulness of
product, Quality of technical support, Quality and value of consulting, and whether
vendor is recommended. The detailed criteria are as follows:
- Sales/acquisition experience
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 paid (Excellent Poor)
- Quality and usefulness of product
o Robustness/sophistication of technology
o Completeness of functionality
o Reliability of technology
o Scalability
o Integration of components within product
o Integration with 3rd party technologies
o
Overall Usabilityo Ease of installation
o Ease of administration
o Customization and Extensibility
o Ease of upgrade/migration to new versions
o Online forums and documentation
- Quality of technical support
o Professionalism
o Product Knowledge
o Responsiveness
o Continuity of personnel
o Time to resolve problems
- Quality and value of consulting serviceso Professionalism
o Product Knowledge
o Experience
o Continuity
o Value
- Whether vendor is recommended (Yes/No)
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Overall Industry Performance
In this section of the findings, we examine the performance of the entire Business
Intelligence software industry, using our 32-criteria model.
When examining the Sales/acquisition process at an industry level (Figure 34), the
areas of greatest satisfaction include Sales product knowledge, and professionalism.The areas of lowest Sales satisfaction include Contractual terms and conditions, Follow
up after the sale and Understanding business needs. These scores are in line with the
findings for 2010 suggesting limited progress.
Figure 34 Industry Performance Sales/Acquisition Experience
5.4%
7.6%
4.7%
5.7%
4.0%
5.5%
1.7%
2.7%
33.5%
23.8%
29.2%
26.9%
25.9%
21.7%
18.1%
16.0%
36.3%
38.4%
37.0%
34.8%
41.2%
35.9%
39.6%
35.3%
23.2%
27.9%
28.4%
31.2%
27.8%
35.2%
39.9%
45.4%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Contractual terms and conditions
Follow-up after the sale
Understanding our business/needs
Flexibility/Accommodation
Business Practices
Responsiveness
Professionalism
Product Knowledge
Sales/Acquisition Experience
Very Poor Poor Adequate Very Good Excellent
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For the Value dimension, we compared current user responses with those from 2010. In
2011, users reported greater value from their Business Intelligence solutions, than in
2010 (Figure 35).
Figure 35 - Industry Performance - Value: 2010 vs. 2011
This increase in perceived value is likely due to the maturation of the many new 2010
implementations now yielding greater value than in their very early stages.
-10%
0%
10%
20%
30%
40%
50%
60%
70%
80%
2010 2011
Value for Price Paid: 2010 vs. 2011
Great Value
Good Value
Poor Value
Very Poor Value
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Taking a look at industry performance related to product (Figure 36), the areas of
greatest satisfaction include: Robustness/Sophistication of technology, Scalability and
Overall Usability. The areas of lowest satisfaction include Integration with 3 rd party
technology, Online training, forums and documentation and Customization and
Extensibility. These scores are in line with the findings for 2010 suggesting limited
industry progress.
Figure 36 - Industry Performance: Quality and Usefulness of Products
6.6%
7.7%
4.1%
7.9%
6.0%
3.1%
5.5%
3.6%
2.6%
3.7%
2.6%
1.8%
34.6%
32.8%
32.6%
26.5%
27.5%
24.1%
25.2%
23.8%
21.3%
18.9%
21.4%
19.1%
34.6%
32.7%
36.9%
33.6%
35.1%
48.1%
34.7%
40.1%
43.7%
42.8%
41.3%
44.2%
22.4%
25.5%
24.6%
29.3%
30.4%
24.2%
33.6%
31.5%
32.2%
34.0%
34.5%
34.4%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Integration with 3rd party technologies
Online training, forums and documentation
Customization and Extensibility
Ease of upgrade/migration to new versions
Ease of administration
Completeness of functionality
Ease of installation
Integration of components within product
Reliability of technology
Overall usability
Scalability
Robustness/Sophistication of technology
Quality and Usefulness of Product
Very Poor Poor Adequate Very Good Excellent
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For 2011, Product knowledge and Professionalism were the two top areas of customer
satisfaction for Technical Support (Figure 37). This was also the case in 2010 when
Professionalism was in first place. At the bottom of the list are Time to resolve problems
and Continuity of personnel two areas that continue to dog the industry.
Figure 37 - Industry Performance: Technical Support
7.0%
5.8%
4.6%
2.1%
3.5%
27.6%
22.7%
22.2%
19.1%
18.0%
37.7%
35.5%
35.6%
36.9%
35.7%
26.4%
34.8%
36.5%
41.8%
42.4%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Time to resolve problems
Continuity of Personnel
Responsiveness
Professionalism
Product knowledge
Technical Support
Very Poor Poor Adequate Very Good Excellent
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For 2011, there was no change in the industrys perceived performance for BI software
vendor consulting services (Figure 38). The areas of greatest satisfaction include
consultant Product knowledge and Professionalism. Areas of greatest dissatisfaction
include Value for the price and Continuity of consulting personnel.
Figure 38 - Industry Performance: BI Vendor Consulting
5.8%
4.7%
2.6%
2.2%
2.4%
26.4%
24.4%
19.1%
18.9%
16.1%
37.9%
36.0%
41.2%
41.0%
39.9%
27.7%
32.9%
36.0%
36.7%
40.5%
0% 20% 40% 60% 80% 100%
Value
Continuity
Experience
Professionalism
Product knowledge
Consulting Services
Very Poor Poor Adequate Very Good Excellent
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On a more positive note, respondents were more likely to recommend their BI software
vendor in 2011 than in 2010 (Figure 39). For 2011, only 5% said that they would not
recommend their vendor versus 9% in 2010.
Figure 39 - Industry Performance: Recommended
9%5%
91%95%
0%
20%
40%
60%
80%
100%
2010 2011
Recommend: 2010 vs. 2011
No Yes
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Vendor Stacked Rankings:
In this section we offer stacked rankings of Business Intelligence software vendors.
Vendors were ranked using 32 different criteria, on a 5-point scale for each. Criteria
covered sales /acquisition experience (8), value for price paid (1), technology/product
(12), technical support (5), consulting services (5) and whether they would recommend
this vendor (1). The result is a stacked ranking with an average score for every one of
the six categories and an overall average score for each vendor.
As we begin to explore vendor performance in more detail, its 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
Vendors have been organized in
Top Related