December 11, 2013 Dresner Advisory Services, LLC · PDF fileDecember 11, 2013 Dresner Advisory Services, LLC 2013 Edition Wisdom of Crowds ® Mobile Computing / Mobile Business Intelligence

December 11, 2013

Dresner Advisory Services, LLC

2013 Edition

Wisdom of Crowds ® Mobile Computing / Mobile Business Intelligence Market Study Licensed to MicroStrategy

Wisdom of Crowds ® Mobile Computing/ Mobile Business Intelligence Market Study 2013

COPYRIGHT 2013 DRESNER ADVISORY SERVICES, LLC Page | 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 the Wisdom of Crowds ® Mobile Computing/ Mobile 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.



Contents Introduction .................................................................................................................................................. 7

About Howard Dresner and Dresner Advisory Services ............................................................................... 8

Findings and Analysis Reports ....................................................................................................................... 9

Focus of Research ......................................................................................................................................... 9

Benefits of the Study ................................................................................................................................... 10

A Consumer Guide .................................................................................................................................. 10

A Supplier Tool ........................................................................................................................................ 10

External Awareness ............................................................................................................................. 10

Internal Planning ................................................................................................................................. 10

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

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

Figure 1 - Numbers of survey respondents 2010 - 2012 ..................................................................... 11

Data Quality ............................................................................................................................................ 11

Study Demographics ................................................................................................................................... 12

Geography ............................................................................................................................................... 12

Figure 2 - Geographic Distribution ...................................................................................................... 12

Functions ................................................................................................................................................. 13

Figure 3 - Functions Represented ....................................................................................................... 13

Vertical Industries ................................................................................................................................... 14

Figure 4 - Vertical Industries ............................................................................................................... 14

Organization Size .................................................................................................................................... 15

Figure 5 – Respondents by Size of Organization ................................................................................. 15

Participant Titles ..................................................................................................................................... 16

Figure 6 – Word Cloud of Participant Titles ........................................................................................ 16

Analysis of Findings ..................................................................................................................................... 16

Mobile Computing ...................................................................................................................................... 17

Mobile Application Priorities .................................................................................................................. 17

Figure 7 - Mobile Application Priorities .............................................................................................. 17

Figure 8 - Mobile Application Priorities - 2011 - 2013 ........................................................................ 18

Figure 9 - Mobile Application Priorities by Organization Size ............................................................. 19



Figure 10 - Mobile Application Priority by Vertical Industry ............................................................... 20

Mobile Platform Priorities ....................................................................................................................... 21

Figure 11 – Mobile Platform Priorities ................................................................................................ 21

Figure 12 - 2013 Mobile Platform Plans .............................................................................................. 22

Figure 13 - Mobile Platforms in Use 2010 - 2013 ............................................................................... 23

Figure 14 - Mobile Platforms Planned 2010 - 2013 ............................................................................ 24

Mobile Application Purchasing ............................................................................................................... 25

Figure 15 - Mobile Application Purchasing ......................................................................................... 25

Figure 16 - Mobile App Purchasing 2011 - 2013 ................................................................................. 26

Enterprise Mobile Management ............................................................................................................. 27

Figure 17 - Use of Enterprise Mobile Management Software: 2011 - 2013 ....................................... 27

Figure 18 - Mobile Device Management Plans Through 2015 ............................................................ 28

Native vs. WebApps ................................................................................................................................ 29

Figure 19 - Native vs. WebApps .......................................................................................................... 29

In-house Development of Mobile Applications ...................................................................................... 30

Figure 20 - In-house Development of Mobile Applications ................................................................ 30

Mobile Business Intelligence ...................................................................................................................... 31

Importance of Mobile BI ......................................................................................................................... 31

Figure 21 – Importance of Mobile BI 2010 - 2013 .............................................................................. 31

Figure 22 - Importance of Mobile BI by Geography ............................................................................ 32

Figure 23 - Importance of Mobile BI by Selected Vertical Industry .................................................... 33

Figure 24 - Importance of Mobile BI by Organization Size ................................................................. 34

Cultural Preparedness for Mobile BI ....................................................................................................... 35

Figure 25 – Cultural preparedness for Mobile BI – 2012 - 2013 ......................................................... 35

Figure 26 - Cultural Preparedness for Mobile BI by Geography 2013 ................................................ 36

Figure 27 - Cultural Preparedness for Mobile BI by Function ............................................................. 37

Figure 28 - Cultural Preparedness for Mobile BI by Organization Size ............................................... 38

Figure 29 - Cultural Preparedness for Mobile BI by Selected Vertical Industry .................................. 39

Backend Systems Support for Mobile BI ................................................................................................. 40

Figure 30 - Mobile BI Backend System Preferences ........................................................................... 40

Figure 31 – Public Cloud Support for Mobile BI by Organization Size ................................................ 41



Mobile BI Device Integration Requirements ........................................................................................... 42

Figure 32 - Mobile BI Integration Preferences .................................................................................... 42

Figure 33 - Mobile Device Integration by Vertical Industry (Weighted Average) ............................... 43

Targeted Users for Mobile Business Intelligence.................................................................................... 44

Figure 34 - Targeted Users for Mobile BI in 2013 ............................................................................... 44

Figure 35 - Primary Targets for Mobile BI 2010 - 2013 ....................................................................... 45

Figure 36 - Mobile BI User Targets by Vertical Industry ..................................................................... 46

Mobile Business Intelligence Adoption Through 2015 ........................................................................... 47

Figure 37 - Mobile BI Adoption Plans Through 2016 .......................................................................... 47

Figure 38 - Mobile BI Deployment Plans through 2016 by Geography .............................................. 48

Figure 39 - Mobile BI Adoption by Organization Size Through 2016 .................................................. 49

Figure 40 - Mobile BI Adoption Plans by Function Through 2016 ...................................................... 50

Figure 41 - Mobile BI Adoption by Vertical Industry Through 2016 ................................................... 51

Exclusive Use of Business Intelligence on Mobile Devices ..................................................................... 52

Figure 42 - Expected Exclusive Mobile BI Usage by 2015 ................................................................... 52

Figure 43 – Expected Exclusive Mobile Business Intelligence Use by 2015 ........................................ 53

Figure 44 - Expected Exclusive Mobile Use of Business Intelligence by 2015 by Geography ............. 54

Figure 45 – Expected Exclusive Mobile BI Usage by 2015 by Function .............................................. 55

Figure 46 - Expected Exclusive Mobile BI Usage by 2015 by Organization Size ................................. 56

Mobile Business Intelligence Features.................................................................................................... 57

Figure 47 - Mobile BI Feature Priorities .............................................................................................. 57

Figure 48 - Mobile BI Feature Priorities 2010 - 2013 (Weighted Average) ......................................... 58

Figure 49 - Mobile BI Features by Function (Weighted Average) ....................................................... 59

Figure 50 - Mobile BI Features by Organization Size .......................................................................... 60

Mobile vs. Server Resident Business Intelligence Apps and Data .......................................................... 61

Figure 51 - Mobile vs. Server Resident BI Apps & Data: 2011 - 2013 ................................................. 61

Figure 52 - Mobile vs. Server Resident BI Apps & Data by Geography ............................................... 62

Figure 53 - Mobile vs. Server Resident BI Apps & Data by Organization Size ..................................... 63

Figure 54 - Mobile vs. Server Resident BI Apps & Data by Vertical Industry ...................................... 64

Figure 55 - Mobile vs. Server Resident BI Apps & Data by Function .................................................. 65

Benefits and Limitations of Mobile Business Intelligence ...................................................................... 66



Figure 56 – Word cloud - Benefits Associated with Mobile Business Intelligence ............................. 66

Figure 57 – Word cloud - Limitations Associated with Mobile Business Intelligence ........................ 67

Business Intelligence Industry Mobile Capabilities and Plans .................................................................... 68

Figure 58 - Industry Importance of Mobile BI: 2010 - 2013 ................................................................ 68

Figure 59 - BI Industry Support for Mobile Platforms ......................................................................... 69

Figure 60 - Industry Support: Native vs. Web Applications ................................................................ 70

Figure 61 - Industry Support for Mobile Device Integration ............................................................... 71

Figure 62 - Industry Support for BI Features ....................................................................................... 72

Mobile Business Intelligence Vendor Scores & Rankings ....................................................................... 73

Figure 63 – 2013 Mobile BI Vendor/Product Rankings ....................................................................... 73

Appendix: Survey Instrument ..................................................................................................................... 74



Introduction This year we celebrate the sixth 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 (BI) Intelligence market. We hope that you agree that we have not

only succeeded in doing so, but have continued to “raise the bar” - offering increasingly

compelling research and greater value with each successive year!

We published our first Wisdom of Crowds® Business Intelligence Market Study in 2010. At that

time our primary goal was to reach out to Business Intelligence users with a focus upon

evaluating BI vendors and products. Our first research report was 68 pages in length, with 47

charts, and ranking 15 vendors. We have continued to publish the Wisdom of Crowds BI Market

Study each year since - expanding its scope and staying true to our goal of providing fresh

perspective. Last year we received the registered trademark designation for "Wisdom of

Crowds®". Moving forward, all research will be published under this brand.

In 2010 we published our first thematic research study - Mobile Business Intelligence. Since

then, we have added many additional thematic research reports to the family: Cloud BI,

Collaborative BI, Embedded BI, BI Emerging Technologies and Small & Mid-Sized Enterprise

BI.

This publication marks our 5th annual Mobile Computing/Mobile BI report. While expanding the

data we collect each year, we maintain a common core from year to year. This enables us to

more clearly identify trends over time. In addition, as this study is - first - a Mobile Computing

study, we are able to place Business Intelligence in the context of the broader Mobile market.

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,

Chief Research Officer Dresner Advisory Services



About Howard Dresner and Dresner Advisory Services The Wisdom of Crowds ® Mobile Computing/ Mobile Business Intelligence Market

Study was conceived, designed and executed by Dresner Advisory Services, LLC - an

independent advisory firm - and Howard Dresner, its Founder & Chief Research Officer.

Howard Dresner is one of the foremost thought leaders in Business Intelligence and

Performance Management, having coined the term “Business Intelligence” in 1989. He

has published two books on the subject, The Performance

Management Revolution – Business Results through Insight and

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

Performance – Business Intelligence Journeys and the Roadmap

for Change (John Wiley & Sons – Nov. 2009). He lectures at

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

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

Howard engages with a global community to redefine how research is created and

shared. Landmark research reports include the:

- Wisdom of Crowds ® Business Intelligence Market Study

- Wisdom of Crowds ® Business Intelligence Emerging Technologies Market Study

- Wisdom of Crowds ® Cloud Business Intelligence Market Study

- Wisdom of Crowds ® Embedded Business Intelligence Market Study

- Wisdom of Crowds ® Mobile Computing/ Mobile Business Intelligence Market Study

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

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

Fridays at 1PM ET, where the BIWisdom “tribe” discusses a wide range of Business

Intelligence topics.

More information about Dresner Advisory Services can be found at

www.dresneradvisory.com.

http://www.twitter.com/howarddresner

http://www.dresneradvisory.com/



Findings and Analysis Reports In this report, we present the deliverables for our Wisdom of Crowds ® Mobile

Computing/ Mobile Business Intelligence Market Study based upon data collection from

September 19, 2013 through October 25, 2013.

Focus of Research For this fifth Mobile study, we address both Mobile Business Intelligence and Mobile

Computing issues, including:

Which platforms and what integration features are most/least important for

Mobile-based solutions?

How do/will organizations prefer to buy mobile applications?

What is the state of mobile device management adoption?

What are the trends surrounding mobile webapps, native apps and hybrid apps?

How important is Mobile Business Intelligence to organizations?

Are organizations culturally ready for Mobile BI?

Which segments of the market are most favorably inclined towards Mobile BI and

what are their plans for adoption?

Which Business Intelligence features are required for Mobile?

What are the perceived benefits/limitations of Mobile BI?

What are the levels of Business Intelligence software industry support for Mobile

Computing and how will this change over the next two years?

Which vendors have the most complete/compelling Mobile BI offering today?

.



Benefits of the Study The Wisdom of Crowds ® Mobile Computing/ Mobile 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 Wisdom of Crowds ®

Mobile Computing/ Mobile Business Intelligence Market Study to understand how their

peers are leveraging and investing in Mobile Business Intelligence and related

technologies.

Using our trademark 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 use the Wisdom of Crowds ® Mobile Computing/ Mobile Business

Intelligence Market Study in several important ways:

External Awareness

- Build awareness for the Mobile Computing/ Mobile Business Intelligence markets

and supplier brand, citing Wisdom of Crowds ® Mobile Computing/ Mobile Business

Intelligence Market Study trends and vendor performance

- Lead and demand-generation for supplier offerings through association with Wisdom

of Crowds ® Mobile Computing/ Mobile Business Intelligence Market Study brand,

findings, webinars, etc.

Internal Planning

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

identified in Wisdom of Crowds ® Mobile Computing/ Mobile Business Intelligence

Market Study

- Better understand customer priorities, concerns and issues

- Identify competitive pressures and opportunities



Survey Method and Data Collection As with all of our Wisdom of Crowds ® Market Studies we constructed a survey

instrument to collect data and used social media and crowd-sourcing techniques to

recruit participants.

Data Collection

Using a unique data collection platform for The Wisdom of Crowds ® Mobile Computing/

Mobile Business Intelligence Market Study we were able to maintain a workable sample

size given the numbers of competing surveys during Q4 (Figure 1).

Figure 1 - Numbers of survey respondents 2010 - 2012

Data Quality

All respondent entries were carefully scrutinized and verified to ensure that only

qualified participants were included in the study.

0

50

100

150

200

250

300

2010 2011 2012 2013

Wisdom of Crowds ® Mobile Computing/Business Intelligence Market Study Data Collection 2010 - 2013



Study Demographics As with all of our studies, we sought a rich cross-section of data across geographies,

functions, organization size, and vertical industries. We believe that, unlike other

industry research, we offer a more characteristic sample and better indicator of true

market dynamics.

Cross-tab analyses were constructed using these demographics to identify and illustrate

important industry trends.

Geography

As in previous years, we’ve been able to attract survey respondents from a wide array

of geographies – including 27% from EMEA (22 countries) and 12% from APAC (8

countries). Although North America represents the largest group, it is in itself diverse –

representing four Canadian provinces and 30 US states (Figure 2).

Figure 2 - Geographic Distribution

54%

27%

7%

12%

0%

10%

20%

30%

40%

50%

60%

North America Europe, Middle East andAfrica

Latin America Asia/Pacific

Geographies



Functions

The IT function represents the largest single group of respondents – slightly more than

half of the sample. We also received strong participation from the Sales and Marketing,

Executive Management, and Finance functions (Figure 3).

This distribution across functions enabled us to develop analyses which compare and

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

Figure 3 - Functions Represented

0%

10%

20%

30%

40%

50%

60%

InformationTechnology (IT)

ExecutiveManagement

Sales and Marketing Finance Research andDevelopment (R&D)

Percent of Respondents by Function



Vertical Industries

We experienced broad vertical industry participation including Technology, Financial

Services, Health Care, and Consumer Product segments. We also encourage the

participation of consultants – who oftentimes have deeper industry knowledge than their

customer counterparts. This also gives us insight into the partner ecosystem for BI

vendors (Figure 4).

Figure 4 - Vertical Industries

0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

20%

Percent of Respondents by Vertical Industry



Organization Size

We achieved a balanced mix of small, medium, and large organizations (Figure 5). This

year the largest of organizations represent 39% of the sample, mid-sized organizations

at 28% and the smallest of organizations at 33%. As with all of our studies, we have

seen important differences by organization size.

Figure 5 – Respondents by Size of Organization

33%

28%

18%

21%

0%

5%

10%

15%

20%

25%

30%

35%

1 - 100 101 - 1000 1001 - 5000 More than 5000

Percent of Respondents by Size of Organization



Participant Titles

We requested the titles of all of the participants and present this in a “word cloud”

(Figure 6). Among the more common titles were Manager, Director and Consultant, as

well as top management – including CEO and CIO. Many had “Business Intelligence” as

a part of their title.

Figure 6 – Word Cloud of Participant Titles

Analysis of Findings In the 2012 report we began to examine the broader Mobile Computing market as well as Mobile Business Intelligence (Mobile BI) – a key change over the previous years. For both we explore user sentiment and perceptions, the nature of current implementations, and plans for the future. Where relevant, we have created cross-tab analyses to explore key differences using the collected demographics. For a number of analyses we have also compared current data to previous years’ – providing a clear sense of progress over the course of past several years.



Mobile Computing In this section we focus upon several key factors related to the broader Mobile

Computing market – including: mobile application prioritization, mobile platform

prioritization, current mobile platform usage and plans, mobile device management use/

plans, and native versus “web apps”.

Mobile Application Priorities

We asked respondents to indicate which mobile applications are the highest priorities to

their organizations. As with last year, email ranks number one, personal information

management is number 2 and Business Intelligence ranks number three (Figure 7).

Figure 7 - Mobile Application Priorities

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Personal or Business Banking via Mobile

Mobile Payments

Social Media Access (e.g., Twitter, LinkedIn,Facebook, Google+, Yelp)

ERP Applications Access

Video Conferencing/Chat

Map/Directions

Collaboration Framework

CRM Applications Access

Business Intelligence

Personal Information Management (Contacts,Calendaring & Scheduling)

Email

Prioritization of Mobile Applications

Critical Very Important Somewhat Important Not Important



When we examine mobile application priorities compared to 2011 and 2012, we can see

that Business Intelligence remains number three, with a large gap between number

three and four (Figure 8). Surprisingly, email has gained ground – and remains in the

number one position. We believe that this is due to the increasing numbers of first time

mobile application users. And, although nascent, Video Conferencing/Chat has grown in

importance since 2011.

Figure 8 - Mobile Application Priorities - 2011 - 2013

0 0.5 1 1.5 2 2.5 3 3.5 4

Personal or Business Banking via Mobile

Mobile Payments

Video Conferencing/Chat

ERP Applications Access

Social Media Access (e.g., Twitter, LinkedIn,Facebook, Google+, Yelp)

Map/Directions

Collaboration Framework

CRM Applications Access

Business Intelligence

Personal Information Management (Contacts,Calendaring & Scheduling)

Email

Mobile Application Priorities - 2011 - 2013

2011

2012

2013



As with other studies, smaller organizations tend to have different priorities than their

larger counterparts. In particular, smaller organizations appear to place a higher priority

on Business Intelligence. Smaller organizations also assigned a higher priority to

Collaboration Framework, Map/Directions, Social Media Access and Personal or

Business Banking via Mobile (Figure 9).

Figure 9 - Mobile Application Priorities by Organization Size

0

0.5

1

1.5

2

2.5

3

3.5

4

Mobile App Ratings by Organization Size 2013

1 - 100 101 - 1000 1001 - 5000 More than 5000 Rating Average



Vertical industry alignment also plays a role in the prioritization of mobile applications.

For example, Government and Retail & Wholesale ranked Business Intelligence more

highly, while Consumer Products gave Email a top priority (Figure 10). Financial

services gave the highest ratings to Mobile Payments. Government also ranked

Map/Directions as the third top priority.

Figure 10 - Mobile Application Priority by Vertical Industry

00.5

11.5

22.5

33.5

44.5

5

Mobile App Priority by Selected Vertical Industry 2013

Consumer Products Education Financial Services Government

Health Care Manufacturing Retail & Wholesale



Mobile Platform Priorities

As in 2011 and 2012, Apple’s iOS devices remain the top priority, followed by Android

smartphones (Figure 11). In contrast, RIM devices have continued to fall to new lows in

priority, with Firefox Mobile and Windows 8 devices faring slightly better.

*Additional Findings: There was a strong correlation within families of devices - e.g.,

iPad and iPhone, Android phone & tablet and Microsoft Phone 8 and Surface. Likewise

there was a negative correlation across families – e.g., Android and iOS.

Figure 11 – Mobile Platform Priorities

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

AppleiPhone

Apple iPadTablet

BlackBerry(RIM)

SmartPhone

RIMPlaybook

Tablet

FirefoxMobile OS

GoogleAndroid

Smartphone

GoogleAndroidTablet

MicrosoftWindowsPhone 8

MicrosoftSurface

(Windows 8tablet)

Mobile Platform Priorities - 2013

9th

8th

7th

6th

5th

4th

3rd

2nd

1st



Going beyond platform priorities, we take a look at those devices currently in use and

those that are planned, through 2015.

The most well established devices are those from Apple running its iOS operating

system. Partly due to market saturation, we see only modest plans moving forward

(Figure 12).

Respondents also indicated substantial use of (and plans for) Google Android through

2015. Use of Microsoft Windows Phone 8 and Surface tablet has achieved a modest

presence with significant deployment plans over the next two years.

Also notable is the continued decline in the RIM Blackberry platform – with more than

50% of respondents indicating “no interest”. Current use and plans for RIM’s Playbook

tablet and Firefox Mobile were not significant.

Figure 12 - 2013 Mobile Platform Plans

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

AppleiPhone

Apple iPadTablet

BlackBerry(RIM)

SmartPhone

RIMPlaybook

Tablet

FirefoxMobile OS

GoogleAndroid

Smartphone(e.g.,

Samsung)

GoogleAndroid

Tablet (e.g.,Samsung)

MicrosoftWindowsPhone 8

MicrosoftSurface

(Windows 8tablet)

Mobile Platforms: In Use and Planned - 2013

In-use Planned: Next 12 Months Planned: Next 24 Months No Interest



To give a more complete perspective, we took all four years of data that we have

collected and compared mobile platform use from 2010 to today. We observe that

mobile platforms in use have shifted dramatically away from RIM Blackberry and

Windows in favor of Apple iOS devices and Google Android phones and tablets (Figure

13). During 2013 usage of Apple iOS devices have lost some ground to the growth of

Android.

Figure 13 - Mobile Platforms in Use 2010 - 2013

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

In-use In-use In-use In-Use

2010 2011 2012 2013

Mobile Platforms in Use 2010 - 2013

Windows Surface tablet

Windows Phone

Google Android Tablet

Google Android Smartphone

Firefox Mobile

RIM Playbook Tablet

BlackBerry (RIM) SmartPhone

Apple iPad Tablet

Apple iPhone



Likewise we have used this same data to examine plans over this same period and see

that, in 2010, plans for Apple iOS outpaced all others by a wide margin (Figure 14). By

2011 this had shifted in favor of Google devices and, in 2012 and today, favors

Windows 8 devices (phone and tablet). In contrast, plans for RIM devices (Blackberry &

Playbook) have consistently declined.

Figure 14 - Mobile Platforms Planned 2010 - 2013

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Planned Planned Planned Planned

2010 2011 2012 2013

Mobile Platforms Planned 2010 - 2013

Windows Surface tablet

Windows Phone

Google Android Tablet

Google Android Smartphone

Firefox Mobile

RIM Playbook Tablet


Apple iPad Tablet

Apple iPhone



Mobile Application Purchasing

By far, organizations and users have bought into the consumer “app” cloud store

approach (e.g., Apple iTunes, Google Play Store) to search/acquire/purchase mobile

applications (Figure 15). Moving forward, respondents have indicated that they intend to

shift app procurement away from these in favor of other outlets – such as a an

Enterprise App Store.

Figure 15 - Mobile Application Purchasing

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Today 12 Months 24 Months 36 Months Notapplicable

Mobile Application Purchasing 2013

A 3rd Party Enterprise App Store

A 3rd Party Consumer App Store

Your own Enterprise App Store

Mobile Operator Store

Consumer App Cloud (iTunes,Android Playstore, etc)



While organizations may intend to move away from consumer app cloud stores, the

reality is somewhat different. When comparing previous years to 2013, the use of

consumer app cloud stores has increased slightly (Figure 16). The use of internal

enterprise app and 3rd party consumer app stores also increased slightly. In contrast the

use of 3rd party stores decreased.

Figure 16 - Mobile App Purchasing 2011 - 2013

55% 57% 58%

15% 11% 12%

13% 15% 18%

7% 9% 6%

10% 7% 6%

0%

20%

40%

60%

80%

100%

120%

2011 2012 2013

App Store Preferences 2011 - 2013

3rd Party Enterprise App Store

3rd Party Consumer App Store

Internal Enterprise App Store

Mobile Operator Store

Consumer App Cloud (iTunes,Android Playstore, etc)



Enterprise Mobile Management

Organizations seem to have taken mobile security more seriously in 2013 - with an

increased focused upon Mobile Device Management and Lost and Theft Protection over

2012. This year we also observe a growing increase in the use of Personal Firewall

(Figure 17). For this year we added Encryption as a new choice. It ranked as the

number three choice.

Figure 17 - Use of Enterprise Mobile Management Software: 2011 - 2013

0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

Anti-virus Lost and theftprotection

Anti-spam Devicemonitoring and

control

Personal firewall Encryption

Use of Enterprise Mobile Management Software 2011 - 2013

2011 2012 2013



While all categories of Enterprise Mobile Management are poised for growth, Mobile

Device Loss and Theft and Encryption are more likely to increase their presence (Figure

18). A significant minority of organizations (>40%) had no plans for or didn’t know the

plans for mobile device management.

Figure 18 - Mobile Device Management Plans Through 2015

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Devicemonitoringand control

Anti-virus Anti-spam Lost and theftprotection

Personalfirewall

Encryption

Enterprise Mobile Management Software Plans - Through 2015 (2013)

Don't know

No Plans

24 Months

12 Months

Today



Native vs. WebApps

There has been an ongoing debate as to the merits of native/device-specific

(downloadable & resident) applications versus web-based applications, which reside on

the web and which employ HTML. For the most popular mobile platforms (iOS, Android)

users still have a strong preference for native apps (Figure 19). However, with the

advent of “blended” applications (native wrapper surrounding HTML5), this may change.

For less popular platforms (e.g., RIM) Web Browser access will dominate.

Figure 19 - Native vs. WebApps

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Native vs. WebApps 2013

Native, down-loadable applications Web Browser access Blended/Hybrid



In-house Development of Mobile Applications

Although third-party providers offer an extensive array of mobile applications, a

significant minority of organizations have opted for internal development (Figure 20).

Most of these will target Apple iOS, followed by Google Android.

*Additional Findings: There was a strong correlation between those developing

applications for Apple iOS and Google Android. This was not the case with Microsoft’s

mobile platform.

Figure 20 - In-house Development of Mobile Applications

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Apple iPhone

Apple iPad Tablet

Google Android Smartphone (e.g., Samsung)

Google Android Tablet (e.g., Samsung)


Microsoft Windows Phone 8

Microsoft Surface (Windows 8 tablet)

RIM Playbook Tablet

Firefox Mobile OS

In-House Development of Mobile Applications 2013

Developing/Already developed today Planned: Next 12 Months

Planned: Next 24 Months No Plans to develop



Mobile Business Intelligence In this section we focus upon those key factors related to Mobile Business Intelligence

including: its importance to organizations, perceived benefits and limitations, cultural

preparedness, backend systems support, device integration preferences, plans for

adoption and exclusive mobile use, targeted user communities, and required business

intelligence features.

Importance of Mobile BI

Since 2010, when we chartered our first Mobile Business Intelligence market study, we

have seen consistent growth in its importance to organizations (Figure 21). However, in

2013 those stating that Mobile BI is “critical” or “very important” declined from 61% to

57%. We believe that this change is normal, as organizations move from the planning

stages to deployment.

Figure 21 – Importance of Mobile BI 2010 - 2013

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

2010 2011 2012 2013

Importance of Mobile BI - 2010 - 2013

Unimportant Somewhat important Very Important Critical



Looking at Mobile Business Intelligence from a geographical perspective, we see that its

importance is far greater beyond North America and EMEA. We believe that, like the

leap-frog effect of cell phones in developing nations, those without traditional BI are

investing in Mobile BI first (Figure 22).

Figure 22 - Importance of Mobile BI by Geography

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

North America

Europe, Middle East and Africa

Latin America

Asia/Pacific

Mobile BI Importance by Geography 2013

Critically important Very important Somewhat Important Not important



From a vertical industry perspective, Retail & Wholesale assign Mobile BI the highest

importance and have been amongst the most ambitious in its adoption – with many

examples of excellent use cases related to store and field management (Figure 23).

Other industries also placed a relatively high importance on Mobile BI (including

Technology and Food, Beverage & Tobacco.

Figure 23 - Importance of Mobile BI by Selected Vertical Industry

0

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Importance of Mobile BI by Selected Industries

Not important

Somewhat Important

Very important

Critically important

Weighted Mean



As with many new technologies, we see small organizations quickly embrace them to

differentiate and achieve competitive edge. This is especially true of Mobile BI, where

twice as many small versus large organizations ranked it as critical (Figure 24).

Figure 24 - Importance of Mobile BI by Organization Size

0%

10%

20%

30%

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50%

60%

70%

80%

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1 - 100 101 - 1000 1001 - 5000 More than 5000

Importance of Mobile BI by Organization Size 2013

Not important

Somewhat Important

Very important




Cultural Preparedness for Mobile BI

Mobile Business Intelligence introduces a different paradigm - and culture - for users

and therefore requires a shift in how they use Business Intelligence to be successful.

Hence, cultural preparedness becomes important (Figure 25). In most cases, the

majority of respondents feel that they are either completely prepared (23%) or

somewhat prepared (44%), with little change versus 2012.

Figure 25 – Cultural preparedness for Mobile BI – 2012 - 2013

0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

50%

Completely unprepared Somewhat unprepared Somewhat prepared Completely prepared

Cultural Preparedness for Mobile BI 2012 - 2013

2012 2013



Geography plays a significant role when examining cultural preparedness for Mobile BI

(Figure 26). Here we can see that Latin America and Asia/Pacific organizations perceive

themselves to be more culturally prepared for Mobile BI than North America and EMEA.

Figure 26 - Cultural Preparedness for Mobile BI by Geography 2013

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

North America Europe, MiddleEast and Africa


Cultural Preparedness for Mobile BI by Geography 2013

Completely unprepared

Somewhat unprepared

Somewhat prepared

Completely prepared



The role/function that an individual plays within an organization has an impact on their

cultural preparedness for Mobile BI. For example, those users whose roles require them

to be “nomadic” (outside of the office more than inside) tend to be amongst the most

well prepared, as mobile technology has historically been mandatory to do their jobs.

Hence, executives and Sales & Marketing are the most prepared and Finance and IT

are the least prepared (Figure 27)

Figure 27 - Cultural Preparedness for Mobile BI by Function

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%


Sales and Marketing Finance Research andDevelopment (R&D)

ExecutiveManagement

Cultural Preparedness for Mobile BI by Function 2013

Completely prepared Somewhat prepared Somewhat unprepared Completely unprepared



For the same reasons that role and function have an impact upon cultural preparedness

for Mobile BI, so does size of organization. The smallest of organizations tend to be

more mobile (nomadic) – on average – than their larger counterparts. As such, the

move to Mobile BI seems much more natural for small versus large organizations

(Figure 28).

Figure 28 - Cultural Preparedness for Mobile BI by Organization Size

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

1 - 100 101 - 1000 1001 - 5000 More than 5000

Cultural Preparedness for Mobile BI by Organization Size 2013

Completed unprepared

Somewhat unprepared

Somewhat prepared

Completely prepared



When thinking about vertical industries, it would be logical to try and apply the same

model – those that are most nomadic should also be the most culturally prepared.

However, this is only partially true. Those that perceive themselves to be prepared must

also be willing to change and innovate. Key industries such as Retail have been

amongst the earliest adopters of Mobile BI. In contrast, Healthcare appears less well

prepared (Figure 29)

Figure 29 - Cultural Preparedness for Mobile BI by Selected Vertical Industry

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Cultural Preparedness for Mobile BI by Selected Vertical Industry 2013

Completely unprepared

Somewhat unprepared

Somewhat prepared

Completely prepared



Backend Systems Support for Mobile BI

We asked participants to share their preference for backend systems which will support

Mobile BI deployments. Choices included in-house systems, private cloud and public

cloud (Figure 30). In general, the majority of respondents still prefer in-house systems

(applications and data) to support Mobile BI solutions.

Figure 30 - Mobile BI Backend System Preferences

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

2013

2012

2011

Systems Supporting Mobile 2011 - 2013

Existing in-house enterprise applications and services Public Cloud-based Private Cloud-based



Generally-speaking, smaller organizations are more open to using cloud-based

solutions and Cloud BI. This is also true with Mobile BI, where the smallest of

organizations are more likely than their larger peers to support Mobile BI via public

cloud solutions (Figure 31). However, all sizes of organizations indicated a greater

likelihood that existing in-house systems would provide this support.

Figure 31 – Public Cloud Support for Mobile BI by Organization Size

0%

10%

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30%

40%

50%

60%

70%

80%

90%

100%

1 - 100 101 - 1000 1001 - 5000 More than 5000

Use of Public Cloud to Support Mobile Applications by Organization Size 2013

Definitely Probably Possibly Unlikely



Mobile BI Device Integration Requirements

For 2012, we asked participants to indicate their requirement for Business Intelligence

integration with local device capabilities (Figure 32). For 2013, we added: Smart watch

integration, Context awareness, and Google Glass integration. Excepting those,

priorities remained largely the same with multi-touch as the number one integration

feature, followed by location awareness. Voice Command climbed in priority for 2013.

*Additional Findings: Camera Integration correlated strongly with Location

awareness/GPS integration and Google Glass integration correlated with Smart watch

integration. Although this trend was present across the entire sample, it was strongest

within larger enterprises.

Figure 32 - Mobile BI Integration Preferences

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Multi-touch interface

Location awareness/GPS integration

Context awareness (activity recognition)

Camera integration

Voice command

Accelerometer

Near-field communication (ala Google Payments)

Google Glass integration

Smart watch integration (e.g., Pebble, Sony)

Mobile BI Device Integration Priorities 2013




From an industry perspective, Retail & Wholesale have above average requirements for

Business Intelligence application integration with mobile devices (Figure 33).

Although the integration feature ranking varied slightly by vertical industry, what is most

interesting is the very high priority that Retail & Wholesale have placed upon multi-

touch, location awareness, and camera integration.

Figure 33 - Mobile Device Integration by Vertical Industry (Weighted Average)

0

0.5

1

1.5

2

2.5

3

3.5

Mobile Device Integration by Vertical Industry (Weighted Average) 2013

Health Care Government Retail & Wholesale

Education Financial Services Rating Average



Targeted Users for Mobile Business Intelligence

Executives remain the top consumers and targets for Mobile Business Intelligence

(Figure 34) followed by middle managers, line managers, and individual contributors.

Although a small percentage of respondents are targeting customers and suppliers, a

majority indicated that Mobile BI is “not applicable” for those constituents. This remains

largely unchanged from 2012.

*Additional Findings: There was a strong correlation between those delivering Mobile BI

to Middle Managers and Line Managers, and between Customers and Suppliers. There

was also some correlation between Line Managers and Individual Contributors.

Figure 34 - Targeted Users for Mobile BI in 2013

0%

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90%

100%

Primary Secondary Not Applicable

Targeted Users for Mobile BI 2013

Suppliers

Customers

Individual Contributors andProfessionals

Line Managers

Middle Managers

Executives



Although executives have consistently been the primary target for Mobile BI (Figure 35),

we’ve seen a significant shift towards middle management and a modest shift towards

line management. We have also observed a slight increase in interest in delivering

Mobile BI to customers and suppliers – perhaps a sign of growing market maturity.

Figure 35 - Primary Targets for Mobile BI 2010 - 2013

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

Executives MiddleManagers

Line Managers IndividualContributors and

Professionals

Customers Suppliers

Primary Targets for Mobile BI 2010 - 2013

2010 2011 2012 2013



Although high adoption of Mobile BI by executives and low adoption for suppliers is

consistent across all vertical industries, there are some key differences (Figure 36). For

example, the data suggests that Retail & Wholesale places a higher than average

priority upon providing Mobile BI access to middle management and customers.

Government placed the lowest priority upon individual contributors having Mobile BI

access.

Figure 36 - Mobile BI User Targets by Vertical Industry

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Health Care

Government

Retail & Wholesale

Education

Financial Services

Health Care

Government

Retail & Wholesale

Education

Financial Services

Health Care

Government

Retail & Wholesale

Education

Financial Services

Health Care

Government

Retail & Wholesale

Education

Financial Services

Health Care

Government

Retail & Wholesale

Education

Financial Services

Health Care

Government

Retail & Wholesale

Education

Financial Services

Cu

sto

me

rsEx

ecu

tive

s

Ind

ivid

ual

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ntr

ibu

tors

and

Pro

fess

ion

als

Lin

e M

anag

ers

Mid

dle

Man

ager

sSu

pp

liers

Mobile BI Target Users by Selected Vertical - 2013

Primary Secondary Not Applicable



Mobile Business Intelligence Adoption Through 2015

Penetration of Mobile Business Intelligence remains fairly modest - with a majority of

organizations reporting 10% or fewer users having access (Figure 37). Anecdotally

speaking, many of those organizations have moved closer to 10% (many from zero)

since 2010. Our data indicates aggressive implementation plans through 2016, with

over 90% above 11% penetration and more than 50% above 41% penetration.

Figure 37 - Mobile BI Adoption Plans Through 2016

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Today In 12 months In 24 months In 36 Months

Mobile BI Deployment Plans Through 2016 (2013)

81% or more

61 - 80%

41 - 60%

21 - 40%

11 - 20%

1% -10%

None



Based on our analysis, non-US geographies appear to be leading in the deployment of

Mobile Business Intelligence (Figure 38). Looking out to 2016, indications are that

Asia/Pacific and Latin America will achieve far greater penetration of users than North

America and EMEA.

Figure 38 - Mobile BI Deployment Plans through 2016 by Geography

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

North America


Latin America

Asia/Pacific

North America


Latin America

Asia/Pacific

North America


Latin America

Asia/Pacific

North America


Latin America

Asia/Pacific

Tod

ayIn

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sIn

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sIn

36

Mo

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s

Mobile BI Deployment Plans Through 2016 by Geography (2013)

None 1% -10% 11 - 20% 21 - 40% 41 - 60% 61 - 80% 81% or more



The smallest of organizations have been at the forefront of Mobile Business Intelligence

adoption and have the most aggressive plans through 2016. We observe a “u shaped”

adoption curve where the largest of organizations also have aggressive plans (Figure

39), albeit with a more limited ability to execute due to organization size, complexity,

and associated cost.

Figure 39 - Mobile BI Adoption by Organization Size Through 2016

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

1 - 100

101 - 1000

1001 - 5000

More than 5000

1 - 100

101 - 1000

1001 - 5000

More than 5000

1 - 100

101 - 1000

1001 - 5000

More than 5000

1 - 100

101 - 1000

1001 - 5000

More than 5000

Tod

ayIn

12

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sIn

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sIn

36

Mo

nth

s

Mobile BI Adoption by Organization Size Through 2016 (2013)

None 1% -10% 11 - 20% 21 - 40% 41 - 60% 61 - 80% 81% or more



Business functions (Sales & Marketing) have been amongst the earliest adopters of

Mobile Business intelligence – with half indicating greater than 11% overall penetration

today and 20% reporting greater than 21% penetration. After Executives, Sales &

Marketing have the most aggressive plans through 2016 (Figure 40). In contrast,

Finance is the most conservative of the three groups, with the IT function only slightly

more ambitious than Finance.

Figure 40 - Mobile BI Adoption Plans by Function Through 2016

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Information Technology (IT)

Sales and Marketing

Finance

Research and Development (R&D)

Executive Management


Sales and Marketing

Finance




Sales and Marketing

Finance




Sales and Marketing

Finance



Tod

ayIn

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sIn

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mo

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sIn

36

Mo

nth

s

Mobile BI Adoption Plans Through 2016 by Function (2013)

None 1% -10% 11 - 20% 21 - 40% 41 - 60% 61 - 80% 81% or more



From an industry perspective, Retail & Wholesale and Government appear to have

achieved greater user penetration – overall – than other industries to date. They also

have the most aggressive plans through 2016 (Figure 41). This is followed by Education

and Financial Services. In contrast, the Healthcare industry appears to have less

ambitious plans.

Figure 41 - Mobile BI Adoption by Vertical Industry Through 2016

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Health CareEducation

Financial ServicesRetail & Wholesale

GovernmentHealth Care

Financial ServicesEducation

Retail & WholesaleGovernmentHealth Care


Retail & WholesaleGovernmentHealth Care


GovernmentRetail & Wholesale

Tod

ayIn

12

mo

nth

sIn

24

mo

nth

sIn

36

Mo

nth

s

Mobile BI Adoption by Vertical Industry Through 2016 (2013)

None 1% -10% 11 - 20% 21 - 40% 41 - 60% 61 - 80% 81% or more



Exclusive Use of Business Intelligence on Mobile Devices

To get another perspective on how pervasive Mobile BI will be, we asked respondents

to share their view on how many users are likely to use BI exclusively through a mobile

device in 24 months. Nearly 40% suggest that by 2015 more than 21% of all users will

use BI exclusively on mobile devices (Figure 42).

Figure 42 - Expected Exclusive Mobile BI Usage by 2015

0%

5%

10%

15%

20%

25%

30%

35%

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

Expected Exclusive Mobile BI Usage by 2015 (2013)



Since 2011, study participant estimates for future exclusive mobile use of Business

Intelligence have increased each year with 43% expecting greater than 21% of

exclusive Mobile BI usage by 2016 (Figure 43).

Figure 43 – Expected Exclusive Mobile Business Intelligence Use by 2015

35%

31%

31%

25%

29%

27%

22%

21%

23%

10%

8%

8%

5%

6%

6%

3%

6%

6%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

2011

2012

2013

Expected Exclusive Mobile Use of Business Intelligence by 2015

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



Because of a lack of infrastructure, users in developing countries may access the

internet primarily via a mobile phone. Accordingly, Latin America and Asia Pacific users

are much more likely to exclusively access Business Intelligence applications and

content via a mobile device by 2015 (Figure 44).

Figure 44 - Expected Exclusive Mobile Use of Business Intelligence by 2015 by Geography

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

North America Europe, Middle Eastand Africa


Expected Exclusive Mobile Use of Business Intelligence by 2015 by Geography

81% or more

61 - 80%

41 - 60%

21 - 40%

11 - 20%

Under 10%



Further evidence that business functions (e.g., Sales & Marketing) are being more

aggressive in their adoption of Mobile Business Intelligence is demonstrated by these

functions planning to have a greater percentage of exclusively Mobile BI users by 2015

(Figure 45). Although the IT and Finance functions also envision a future with a

measure of exclusively mobile access to BI, they are far less optimistic with their

estimates.

Figure 45 – Expected Exclusive Mobile BI Usage by 2015 by Function

0%

10%

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30%

40%

50%

60%

70%

80%

90%

100%


Sales andMarketing

Finance Research andDevelopment

(R&D)

ExecutiveManagement

Expected Exclusive Mobile BI Usage by 2015 by Function (2013)

81% or more

61 - 80%

41 - 60%

21 - 40%

11 - 20%

Under 10%



Small and mid-sized organizations appear to have the most optimistic plans for

exclusive mobile use of Business Intelligence, followed by the largest of organizations

(Figure 46). Similar to Mobile BI adoption plans cited previously, these plans follow a

similar “U-shaped” adoption curve where the smallest and largest of organizations have

the most ambitious plans, while those in the middle are more conservative.

Figure 46 - Expected Exclusive Mobile BI Usage by 2015 by Organization Size

0%

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30%

40%

50%

60%

70%

80%

90%

100%

1 - 100 101 - 1000 1001 - 5000 More than 5000

Expected Exclusive Mobile BI Usage by 2015 by Organization Size (2013)

81% or more

61 - 80%

41 - 60%

21 - 40%

11 - 20%

Under 10%



Mobile Business Intelligence Features

For 2013 we asked respondents to prioritize 14 different Business Intelligence

features/functions required for mobile, including newer features like Augmented reality,

Social media analysis, and Collaborative support.

Top features for 2013 include View charts/reports, Data selection and filtering and Drill

down navigation (Figure 47).

Figure 47 - Mobile BI Feature Priorities

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

View charts/reports

Data selection; filtering

Drill down navigation

KPI monitoring

Alerts

Real-time data refresh

Off-line Access

Dashboard assembly from components

Drag and drop navigation

Guided analysis

Collaborative Support for Group-based Analysis

Write-back/transactional integration

Social media Analysis (SocialBI)

Augmented reality

Mobile BI Feature Priorities 2013




The requirement for Business Intelligence features on mobile devices has evolved since

we first surveyed the market in 2010, and continues to do so. Since that time, we have

seen users’ needs mature and shift away of simple viewing and reporting in favor of

more sophisticated capabilities (Figure 48). For example, in 2010, the top three

features were View charts/report, Alerts, and KPI Monitoring. In 2013, Data selection;

filtering and Drill down Navigation are the number two and three required features.

Figure 48 - Mobile BI Feature Priorities 2010 - 2013 (Weighted Average)

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

View charts/reports

Data selection; filtering

Drill down navigation

KPI monitoring

Alerts

Real-time data refresh

Off-line Access

Dashboard assembly from components

Drag and drop navigation

Guided analysis

Write-back/transactional integration

Social media Analysis (SocialBI)

Augmented reality

BI Feature Priority 2010 - 2014

2010 2011 2012 2013



With a few exceptions, the ranked order of BI features remains consistent with the

overall sample when viewed by function (Figure 49). Notable exceptions include a much

higher Executive priority for more advanced features (e.g., Drag and Drop Navigation).

As Executives were amongst the earliest adopters of Mobile BI, an increased

requirement for more advanced capabilities is logical.

Figure 49 - Mobile BI Features by Function (Weighted Average)

0

0.5

1

1.5

2

2.5

3

3.5

4

Mobile BI Features by Function (Weighted Average) 2013

Information Technology (IT) Sales and Marketing Finance

Executive Management Rating Average



Similarly, when looking at required Mobile BI features by organization size, it follows the

overall sample, with some key exceptions (Figure 50). Several follow the “U-shaped”

adoption curve, cited previously, where the largest and smallest of organizations are

aligned. These include Off-line Access and Drag and Drop Navigation. Guided Analysis

resonated more with larger organizations while Collaborative Support found greater

support within smaller ones.

Figure 50 - Mobile BI Features by Organization Size

0

0.5

1

1.5

2

2.5

3

3.5

4

Selected Mobile BI Features by Organization Size 2013

1 - 100 101 - 1000 1001 - 5000 More than 5000 Rating Average



Mobile vs. Server Resident Business Intelligence Apps and Data

There has been an ongoing discussion within the industry as to where mobile

applications and data ought to reside. In some cases organizations resist the

downloading of apps and data due to security policies or concerns. In other cases

regulatory requirements dictate this, such as HIPAA (Health Insurance Portability and

Accountability Act).

In general, the requirement for restricting apps and data to the server has grown over

2011 from 40% in 2011 to 50% in 2012 and 2013 (Figure 51).

Figure 51 - Mobile vs. Server Resident BI Apps & Data: 2011 - 2013

60%

50% 49.5%

40.0%

50.0% 50.5%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

2011 2012 2013

Mobile vs. Server Resident BI Apps & Data: 2011 - 2013

Server Only

Mobile Device and Server



From a geographic perspective, North American respondents indicated a much greater

tendency towards Server Only BI apps and data versus Mobile Device and Server

resident apps and data (Figure 52).

Figure 52 - Mobile vs. Server Resident BI Apps & Data by Geography

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

North America


Latin America

Asia/Pacific

Mobile vs. Server Resident BI Apps & Data by Geography

Mobile Device and Server Server Only



As smaller organizations are less subject to the security requirements and regulations of

larger organizations, a majority of them indicated a preference for local device storage

of Mobile BI apps and data. In contrast, a majority of larger organizations indicated a

preference for server-based storage of apps and data (Figure 53).

Figure 53 - Mobile vs. Server Resident BI Apps & Data by Organization Size

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

1-1000 1001 and More

Mobile vs. Server Resident BI Apps & Data by Organization Size (2013)

Server Only

Mobile Device and Server



The requirement for app and data residency varies dramatically by vertical industry –

often due to governmental or industry regulation. Those with the greatest requirement

for server-based apps and data (e.g., Health Care, Financial Services, Government)

tend to be most impacted by those regulations (Figure 54).

Figure 54 - Mobile vs. Server Resident BI Apps & Data by Vertical Industry

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Education

Retail & Wholesale

Government

Financial Services

Health Care

Mobile vs. Server Resident BI Apps & Data by Vertical Industry (2013)




A shift from previous years, most functions now indicate a preference for Server-only

storage of mobile BI apps and data (Figure 55) In previous years, business functions

preferred local storage. However, we believe that the increasing pervasiveness of

internet access has caused this requirement to ease.

Figure 55 - Mobile vs. Server Resident BI Apps & Data by Function

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%


Sales and Marketing

Finance


Mobile vs. Server Resident BI Apps & Data by Function (2013)




Benefits and Limitations of Mobile Business Intelligence

Each year we ask respondents to describe the benefits and limitations of Mobile

Business Intelligence. This year we’ve organized these comments in two “word clouds”.

Top perceived benefits associated with Mobile BI include pervasive access to

information, better and faster decision-making, and better support for increasingly

mobile and customer-facing workforce (Figure 56).

Figure 56 – Word cloud - Benefits Associated with Mobile Business Intelligence



Top cited limitations associated with Mobile BI include: security concerns, limited data

volumes, and technical limitations of mobile devices and networks (Figure 57).

Figure 57 – Word cloud - Limitations Associated with Mobile Business Intelligence



Business Intelligence Industry Mobile Capabilities and Plans By collecting data from over two dozen Business Intelligence vendors, we understand

the current state of the market and also have a view into future industry capabilities –

thereby helping user organizations plan for Mobile BI with greater precision.

Back in 2010 the majority of Business Intelligence vendor organizations had not yet fully

comprehended the shift towards Mobile BI that was about to occur (Figure 58). Since

that time Mobile BI has become increasingly important for the majority. That said, as

Mobile BI features have become the norm, this requirement has lessened somewhat

since 2012.

Figure 58 - Industry Importance of Mobile BI: 2010 - 2013

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

2010 2011 2012 2013

Industry Importance of Mobile BI: 2010 - 2013


Very important

Somewhat Important



At this point, one can be fairly comfortable in the knowledge that almost all Business

Intelligence vendors offer support for Apple’s iPad tablet device, as this is the single

most popular platform for Mobile BI today. Very good support can also be found for

Apple’s iPhone and for Google Android tablets and smartphones (Figure 59). Microsoft

Windows 8 Phone and Surface tablet are seeing improved industry support and

significant plans through 2015. In contrast, RIM’s BlackBerry and Playbook and Firefox

Mobile platforms have far less support.

Figure 59 - BI Industry Support for Mobile Platforms

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

BI Industry Support for Mobile Platforms 2013

No Plans

Planned - 24 months

Planned - 12 months

Supported today



The development and support of native applications is a complex and costly process for

vendors. As such, most would prefer to use HTML5 – which enjoys support across all

mobile platforms. However, users continue to demand a native app experience – most

notably on the Apple iOS platforms. Accordingly, industry support for native apps

remains strong on Apple mobile devices (Figure 60). Moving forward we expect to see

more apps using a hybrid approach – with a native code wrapper around standard

HTML5.

Figure 60 - Industry Support: Native vs. Web Applications

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Today

12 Months

Today

12 Months

Today

12 Months

Today

12 Months

Today

12 Months

Today

12 Months

Today

12 Months

Today

12 Months

Today

12 Months

Ap

ple

iPh

on

e

Ap

ple

iPad

Tab

let

Bla

ckB

err

y (R

IM)

Smar

tPh

on

e

RIM

Pla

ybo

ok

Tab

let

Fire

fox

Mo

bile

OS

Go

ogl

eA

nd

roid

Smar

tph

on

e

Go

ogl

eA

nd

roid

Tab

let

Mic

roso

ft

Win

do

ws

Ph

on

e 8

Mic

roso

ft

Surf

ace

(Win

do

ws

8ta

ble

t)

Industry Support: Native vs. Web Applications 2013

Native, down-loadable apps HTML5/CSS3 Blended/Hybrid



Industry support for mobile device integration maps well to user requirements – with

both ranking Multi-touch as a 1st priority and Location awareness as 2nd priority (Figure

61). However, the industry has placed a greater emphasis upon Camera integration (#4

user feature) and Accelerometer integration (#6 user feature).

Figure 61 - Industry Support for Mobile Device Integration

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Industry Support for Mobile Device Integration 2013

No Plans

Planned - 24 months

Planned - 12 months

Supported today



We continue to see consistent year-over-year improvements in Mobile BI feature

support - with availability for most improving versus 2012 (Figure 62). While the top six

industry-supported Mobile Business Intelligence features correspond to user

requirements, there are some areas of demand-side and supply-side mismatch. For

example, users place a higher priority upon Collaborative Support and Off-line Access

and a lower priority upon Social Media Analysis and Guided Analysis.

Figure 62 - Industry Support for BI Features

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Industry Support for BI Features 2013

No Plans

24 months

18 months

12 months

6 months

Today



Mobile Business Intelligence Vendor Scores & Rankings

This year we have included 25 Business Intelligence vendors in our mobile ratings

(Figure 63). For each vendor we considered mobile platform support and integration,

business intelligence features and customer ratings. Platform and feature scores were

weighted using user prioritizations, with a maximum possible score of 36.5 points.

Figure 63 – 2013 Mobile BI Vendor/Product Rankings

This model reflects only three dimensions of a BI vendor’s product capability and is only

intended to indicate a convergence of capabilities for Mobile BI. Readers are

encouraged to use other tools to understand other dimensions of vendor capability,

such as our own Wisdom of Crowds ® Business Intelligence Market Study.

0

5

10

15

20

25

Actuate CorpBIME

Birst

Dimensional Insight

Dundas Data…

GoodData

IBM

Information Builders

Intuitive Business…

Jedox AG

Kilpfolio Inc.Logi Analytics IncMicrosoft

MicroStrategy

Oracle

Phocas

QlikTech

Roambi

SAP

SAS

Tableau Software

TIBCO Software Inc.

Yellowfin

2013 Mobile Business Intelligence Rankings

Platform Features Customer Total Score



Appendix: Survey Instrument



















Documents

December 11, 2013 Dresner Advisory Services, LLC · PDF fileDecember 11, 2013 Dresner Advisory Services, LLC 2013 Edition Wisdom of Crowds ® Mobile Computing / Mobile Business Intelligence