Small and Mid-Sized Enterprise Business Intelligence Market Study

Transcription

1 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

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. 2

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) 3

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 This includes Location Intelligence, Cloud BI (3 rd annual), Collaborative BI (3 rd annual), our flagship Wisdom of Crowds BI Market Study (5 th annual), BI Competency Center, Advanced & Predictive Analytics, Healthcare, BI Emerging Technologies (2 nd annual) and Mobile Computing / Mobile BI Market Study (6 th 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 4

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 Survey Method and Data Collection Data Collection Data Quality Vendor/Market Categories Executive Summary Study Demographics Geography Functions Vertical Industries Analysis and Trends How SMEs Differ Technology Priorities Changing Departments/Functions Driving Business Intelligence Departmental Drivers User Roles Targeted for Business Intelligence Objectives for Business Intelligence Business Intelligence Objectives by Function Penetration of Business Intelligence SME Success with Business Intelligence State of Data

6 Action on Insight SME Vendor Stacked Rankings Business Intelligence Titans Large Established Pure-Play Business Intelligence Vendors High-Growth Business Intelligence Vendors Specialized Business Intelligence Vendors Emerging Business Intelligence Vendors Detailed SME Vendor Scores Actuate Detailed Score for SME Adaptive Insights Detailed Score for SME Birst Detailed SME Score Dimensional Insight Detailed SME Score Dundas Detailed SME Score GoodData Detailed SME Score IBM Detailed SME Score Information Builders Detailed SME Score Jaspersoft Detailed SME Score Jedox Detailed SME Score Jinfonet Detailed SME Score Klipfolio Detailed SME Score Logi Analytics Detailed SME Score Microsoft Detailed SME Score Pentaho Detailed SME Score Phocas Detailed SME Score Qlik Detailed SME Score SAP Detailed SME Score Tableau Detailed SME Score Targit Detailed SME Score Tibco Detailed SME Score SME Business Intelligence Buyer s Guide

7 Traditional Platform Support - Vendors (A D) Traditional Platform Support - Vendors (I) Traditional Platform Support - Vendors (J-L) Traditional Platform Support - Vendors (M-P) Traditional Platform Support - Vendors (Q-S) Traditional Platform Support - Vendors (T) Cloud Platform Support - Vendors (A D) Cloud Platform Support - Vendors (G -I) Cloud Platform Support - Vendors (J-L) Cloud Platform Support - Vendors (M-P) Cloud Platform Support - Vendors (Q-T) Mobile Platform Support - Vendors (A-D) Mobile Platform Support - Vendors (I) Mobile Platform Support - Vendors (J-L) Mobile Platform Support - Vendors (M-P) Mobile Platform Support - Vendors (Q-T) Appendix - The 2014 Wisdom of Crowds Business Intelligence Market Survey Instrument

8 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 8

9 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 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 ( 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. 9

10 You can find more information about Dresner Advisory Services at 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. writing. As lead writer he interviewed and profiled more than 100 CIOs, CTOs, and program directors in a 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 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. 10

11 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 crowdsourcing 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. 380 SME Study Sample Small (1-100) Mid (101-1,000) Figure 1 SME study sample 11

12 Data Quality We carefully scrutinized and verified all respondent entries to ensure that the study includes only qualified participants. 12

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. 13

14 Executive Summary 14

15 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. 15

16 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 crosstab 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. Geographies of SMEs Studied Latin America 5% Asia Pacific 13% Europe, Middle East, & Africa 30% North America 51% Figure 2 - Geographies of SMEs studied 16

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. Functions in SMEs Studied Research and Development (R&D) 5% Other 4% Sales 6% Marketing 5% Operations 4% Information Technology (IT) 33% Finance 8% Business Intelligence Competency Center 11% Executive Management 25% Figure 3 - Functions in SMEs studied 17

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). SME Vertical Industries Consulting 17% Other 20% Telecommunications 3% Technology 21% Healthcare 4% Financial Services 6% Manufacturing 5% Retail & Wholesale 8% Business Services 4% Not for profit 2% Advertising 2% Transportation 2% Insurance 3% Food, Beverage & Tobacco Government 2% 1% Education 2% Figure 4 SME vertical industries 18

19 Analysis and Trends 19

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. 20

21 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. Technology Priorities: SMEs versus Large Enterprises Dashboards End user "self service" Advanced visualization Data warehousing Mobile device support Integration with operational processes Data discovery "Embedded" BI (contained within an application, portal, Data mining, advanced algorithms, predictive End-user data "blending" (data mash ups) Location intelligence/analytics In-memory analysis Software-as-a-service and cloud computing Search-based interface Pre-packaged vertical/functional analytical applications Collaborative support for group-based analysis Ability to write transactional applications Big Data (e.g., Hadoop) Text analytics Social media analysis (SocialBI) Open source software Complex event processing (CEP) SME LGE Figure 5 - Technology priorities: SMEs versus large enterprises 21

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 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. 8.0% Technology Priority Changes from 2013: SME versus Overall Sample 6.0% 4.0% 2.0% 0.0% -2.0% -4.0% -6.0% SME Overall Figure 6 Technology priority changes from 2013: SME versus overall sample 22

23 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 Functional Drivers of BI by Organization Size Large SME Figure 7 Functional drivers of business intelligence by organization size (weighted mean) 23

24 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. 90% Primary Targets for BI by Organization Size 80% 70% 60% 50% 40% 30% 20% 10% 0% Executives Middle Managers Line Managers Customers Individual Contributors & Professionals Suppliers Small Mid Large Figure 8 - Primary targets for BI by organization size 24

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. 5 Business Intelligence Objectives by Organization Size Better decisionmaking Growth in revenues Increased competitive advantage Improved operational efficiency Enhanced customer service Small Mid Large Figure 9 - Business intelligence objectives by organization size (weighted mean) 25

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. 2.0% Changes in BI Objectives from 2013: SME versus Overall Sample 1.5% 1.0% 0.5% 0.0% -0.5% -1.0% -1.5% -2.0% -2.5% Better decisionmaking Growth in revenues Increased competitive advantage Improved operational efficiency Enhanced customer service SME Overall Figure 10 - Changes in BI objectives from 2013: SME versus overall sample 26

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. 5 BI Objectives by Function: SMEs Only Information Technology (IT) Executive Management Finance Sales Marketing Better decision-making Growth in revenues Increased competitive advantage Improved operations efficiency Enhanced customer service Figure 11 BI objectives by function: SMEs Only (weighted mean) 27

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. 50% 45% 40% 35% 30% 25% 20% 15% 10% 5% Current BI Penetration by Organization Size 0% Under 10% 11-20% 21-40% 41-60% 61-80% 81% or more BI Penetration Small Mid Large Figure 12 - Current BI penetration by organization size 28

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. 100% SME BI User Penetration by Organization Size 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Small Mid Small Mid Small Mid Small Mid Today In 12 months In 24 months In 36 months Under 10% 11-20% 21-40% 41-60% 61-80% 81% or more Figure 13 SME BI user penetration by organization size 29

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. 60% Success with Business Intelligence by Organization Size 50% 40% 30% 20% 10% 0% Completely agree Agree somewhat Disagree somewhat Disagree Small Mid Large Figure 14 -Success with business intelligence by organization size 30

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. State of Data Governance by Organization Size We have multiple, inconsistent data sources with conflicting semantics and data. Information is generally unreliable and distrusted. Consistent data is available at a departmental level. Conflicting, functional views of data causes confusion and disagreement. A common view of enterprise data is available. However, parochial views and semantics are used to support specific positions. Large Mid Small Data as "truth" - A common view of enterprise data is available with common application of data, filters, rules, and semantics. 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% Figure 15 - State of data governance by organization size 31

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. 70% Action on Insight 60% 50% 40% 30% SME Large 20% 10% 0% Closed loop processes ensure timely, concerted action Ad hoc (informal) action on insights across functions Uncoordinated/ parochial action (sometimes at the expense of others) Insights are rarely leveraged Figure 16 - Action on insight 32

33 SME Vendor Rankings 33

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 subsegment 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. 34

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 Microsoft SAP 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 Value Product Support Consult Integrity Recommend Final Score Qlik Information Builders Actuate

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 Tableau Logi Analytics Pentaho 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 Klipfolio Dundas Phocas Targit Jinfonet

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 Value Product Support Consult Integrity Recommend Final Score Birst Adaptive Insights Jaspersoft Jedox GoodData After reviewing the stacked rankings of vendors, carefully examine the detailed, vendorspecific rankings for a more complete perspective and deeper understanding of individual vendors strengths and weaknesses. *Jaspersoft was acquired by Tibco after data collection had been completed. 37

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 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 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 o Experience o Continuity o Value - Integrity (11 o clock) - Whether vendor is recommended (Recommended) (12 o clock) 38

39 Actuate Detailed Score for SME Actuate Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of upgrade/migration Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of components Integration with 3rd party Ease of Overall installation usability Peer Overall Actuate 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. 39

40 Adaptive Insights Detailed Score for SME Adaptive Insights Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of upgrade/migration Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of Integration with 3rd party Ease of Overall installation usability Peer Overall Adaptive Insights 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. 40

41 Birst Detailed SME Score Birst Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of upgrade/migration Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of components Integration with 3rd party Ease of Overall installation usability Peer Overall Birst 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. 41

42 Dimensional Insight Detailed SME Score Dimensional Insight Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of upgrade/migration Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of components Integration with 3rd party Ease of Overall installation usability Peer Overall DimIns 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. 42

43 Dundas Detailed SME Score Dundas Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of upgrade/migration Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of components Integration with 3rd party Ease of Overall installation usability Peer Overall Dundas 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. 43

44 GoodData Detailed SME Score GoodData Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of Integration with 3rd party Ease of Overall installation usability Peer Overall GoodData 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. 44

45 IBM Detailed SME Score IBM Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of upgrade/migration Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of components Integration with 3rd party Ease of Overall installation usability Peer Overall IBM 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. 45

46 Information Builders Detailed SME Score Information Builders Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Continuity Experience Sales professionalism Recommend Integrity Value Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums and Ease of upgrade/migration Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of components Integration with 3rd party Overall usability Ease of installation Peer Overall Information Builders 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 thirdparty technologies, tech support, and time to resolve problems. 46

47 Jaspersoft Detailed SME Score Jaspersoft Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of Integration with 3rd party Ease of Overall installation usability Peer Overall Jaspersoft 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. *Jaspersoft was acquired by Tibco after data collection had been completed. 47

48 Jedox Detailed SME Score Jedox Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of Integration with 3rd party Ease of Overall installation usability Peer Overall Jedox 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. 48

49 Jinfonet Detailed SME Score Jinfonet Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of upgrade/migration Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of components Integration with 3rd party Ease of Overall installation usability Peer Overall JInfonet 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. 49

50 Klipfolio Detailed SME Score Time to resolve problems Experience Consult professionalism Continuity of personnel Klipfolio Detailed SME Score Integrity Value Continuity Sales professionalism Recommend Understanding our Responsiveness Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of Integration with 3rd Ease of Overall installation usability Peer Overall Klipfolio 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. 50

51 Logi Analytics Detailed SME Score Logi Analytics Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of upgrade/migration Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of components Integration with 3rd party Ease of Overall installation usability Peer Overall Logi Analytics 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 perfect recommend score. 51

52 Microsoft Detailed SME Score Microsoft Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of upgrade/migration Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of components Integration with 3rd party Ease of Overall installation usability Peer Overall Microsoft 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. 52

53 Pentaho Detailed SME Score Pentaho Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of upgrade/migration Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of components Integration with 3rd party Ease of Overall installation usability Peer Overall Pentaho Figure 31 - Pentaho detailed SME score A member of the High Growth segment, Pentaho is generally below peer and overall averages. 53

54 Phocas Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Continuity Experience Phocas Detailed SME Score Sales professionalism Recommend Integrity Value Understanding our Responsiveness Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of Integration with 3rd Ease of Overall installation usability Peer Overall Phocas Figure 32 - Phocas detailed SME score Phocas, a member of the Specialized market segment is generally in line with or somewhat below peer averages. 54

55 Qlik Detailed SME Score Qlik Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of upgrade/migration Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of components Integration with 3rd party Ease of Overall installation usability Peer Overall Qlik 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. 55

56 SAP Detailed SME Score SAP Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of upgrade/migration Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of components Integration with 3rd party Ease of Overall installation usability Peer Overall SAP Figure 34 - SAP detailed SME score In the Titan market segment, SAP trails peer and overall sample averages in most categories. 56

57 Tableau Detailed SME Score Tableau Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of upgrade/migration Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of components Integration with 3rd party Ease of Overall installation usability Peer Overall Tableau 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. 57

58 Targit Detailed SME Score Experience Consult professionalism Time to resolve problems Continuity of personnel Targit Detailed SME Score Integrity Value Continuity Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of Integration with 3rd party Ease of Overall installation usability Peer Overall Targit 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. 58

59 Tibco Detailed SME Score Tibco Detailed SME Score Consult professionalism Time to resolve problems Continuity of personnel Integrity Value Continuity Experience Sales professionalism Recommend Understanding our Responsiveness Flexibility/accommodation Business practices Contractual terms and Follow up after the sale Value Product Responsiveness Support professionalism Online training, forums Ease of upgrade/migration Customization Ease of administration and Completeness of Reliability of technology Scalability Integration of components Integration with 3rd party Ease of Overall installation usability Peer Overall TIBCO 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 perfect recommend score. 59

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 indicates a feature that was available in the vendor s product in Q Traditional Platform Support - Vendors (A D) Capability Dimension al Insight Actuate "Embedded" BI (contained within an application, portal, etc.) Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics Dundas 60

61 Traditional Platform Support - Vendors (I) Capability IBM Information Builders "Embedded" BI (contained within an application, portal, etc.) Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics 61

62 Traditional Platform Support - Vendors (J-L) Capability Jaspersoft Jedox Jinfonet Logi Analytics "Embedded" BI (contained within an application, portal, etc.) Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics 62

63 Traditional Platform Support - Vendors (M-P) Capability Microsoft Pentaho Phocas "Embedded" BI (contained within an application, portal, etc.) Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics 63

64 Traditional Platform Support - Vendors (Q-S) Capability Qlik SAP "Embedded" BI (contained within an application, portal, etc.) Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics 64

65 Traditional Platform Support - Vendors (T) Capability Tableau Targit Tibco "Embedded" BI (contained within an application, portal, etc.) Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics 65

66 Cloud Platform Support - Vendors (A D) Adaptive Insights Capability Actuate Birst "Embedded" BI (contained within an application, portal, etc.) Dimensional Insight Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics 66

67 Cloud Platform Support - Vendors (G -I) Good Data Capability IBM "Embedded" BI (contained within an application, portal, etc.) Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Information Builders Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics 67

68 Cloud Platform Support - Vendors (J-L) Klipfolio Logi Capability Jaspersoft Jedox Jinfonet Analytics "Embedded" BI (contained within an application, portal, etc.) Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics 68

69 Cloud Platform Support - Vendors (M-P) Capability Microsoft Pentaho Phocas "Embedded" BI (contained within an application, portal, etc.) Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics 69

70 Cloud Platform Support - Vendors (Q-T) Capability Qlik SAP Tableau Targit Tibco "Embedded" BI (contained within an application, portal, etc.) Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics 70

71 Mobile Platform Support - Vendors (A-D) Capability "Embedded" BI (contained within an application, portal, etc.) Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics Actuate Adaptive Insights Birst Dimensional Insight Dundas 71

72 Mobile Platform Support - Vendors (I) Capability "Embedded" BI (contained within an application, portal, etc.) Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics IBM Information Builders 72

73 Mobile Platform Support - Vendors (J-L) Klipfolio Logi Capability Jaspersoft Jedox Jinfonet Analytics "Embedded" BI (contained within an application, portal, etc.) Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics 73

74 Mobile Platform Support - Vendors (M-P) Capability Microsoft Pentaho Phocas "Embedded" BI (contained within an application, portal, etc.) Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics 74

75 Mobile Platform Support - Vendors (Q-T) Capability Qlik SAP Tableau Targit Tibco "Embedded" BI (contained within an application, portal, etc.) Ability to write to transactional applications Ad-hoc query Advanced visualization Big data (e.g., Hadoop) support Collaborative support for group-based analysis Complex event processing (CEP) Data integration/data quality tools / ETL Data mining and advanced algorithms Data visualization End-user "self service" End-user data "blending" or "mashups" In-memory support Interactive analysis Location intelligence / analytics Personalized dashboards Pre-packaged vertical/functional analytical applications Production reporting Search-based interface Social media analysis (Social BI) Text analytics 75

76 Appendix - The 2014 Wisdom of Crowds Business Intelligence Market Survey Instrument 76

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