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November 9, 2016

Dresner Advisory Services, LLC

2016 Edition

Embedded Business Intelligence Market Study

Wisdom of Crowds®

Series

Licensed to Logi Analytics

2016 Embedded Business Intelligence Market Study

http://www.dresneradvisory.com Copyright 2016 – Dresner Advisory Services, LLC

2

Disclaimer:

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

multiple information sources, face-to-face meetings, customer reference checking, product demonstrations and

proof-of-concept applications.

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

online responses of individuals who chose to respond to our online questionnaire and does not represent a scientific

sampling of any kind. Dresner Advisory Services, LLC shall not be liable for the content of reports, study results, or for

any damages incurred or alleged to be incurred by any of the companies included in the reports as a result of its

content.

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

http://www.dresneradvisory.com/



3

Definitions

Business Intelligence Defined Business intelligence (BI) is “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)

Embedded Business Intelligence Defined Embedded business intelligence is the technological capability to include BI features and functions as

an inherent part of another application.




4

Introduction This year we celebrate the ninth anniversary of Dresner Advisory Services! We offer our

thanks to all of you for your continued support and ongoing encouragement.

Since our founding in 2007, we have worked hard to set the “bar” high—challenging

ourselves to innovate and lead the market—offering ever greater value with each

successive year.

Our first market report in 2010 set the stage for where we are today. Since that time, we

have expanded our agenda and have added new research topics every year since. For

2016, we are on track to release 15 major reports, including our recent flagship BI

report—in its seventh year of publication!

In addition to our ongoing coverage of key topics such as embedded BI, big data

analytics and advanced and predictive analytics, we have added new topics including

Collective InsightsTM (blending collaboration and governance) and systems integrators.

For this, our fourth Embedded Business Intelligence report, we have added some

content surrounding “data monetization” as well as continuing to focus on the

requirement to make BI capabilities pervasive by including them as a part of other

applications. Like our other thematic research reports, Embedded BI explores user

perceptions and intentions and includes vendor rankings and a buyer’s guide, making it

a valuable tool for anyone considering investing in embedded BI products and services.

We hope you enjoy this report!

Best,

Howard Dresner Chief Research Officer Dresner Advisory Services




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Contents

Definitions ...................................................................................................................................3

Business Intelligence Defined ..................................................................................................3

Embedded Business Intelligence Defined ................................................................................3

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

Benefits of the Study ...................................................................................................................6

A Consumer Guide ..................................................................................................................6

A Supplier Tool ........................................................................................................................6

About Howard Dresner and Dresner Advisory Services ..............................................................7

About Jim Ericson .......................................................................................................................8

Survey Method and Data Collection ............................................................................................9

Data Quality.............................................................................................................................9

Executive Summary ..................................................................................................................11

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

Geography ............................................................................................................................13

Functions ...............................................................................................................................14

Vertical Industries ..................................................................................................................15

Organization Size ..................................................................................................................16

Analysis and Trends: Business Intelligence Users ....................................................................18

Importance of Embedded Business Intelligence ....................................................................18

Objectives for Embedded BI ..................................................................................................24

Adoption of Embedded Business Intelligence ........................................................................29

Embedded Business Intelligence Architecture .......................................................................34

Embedded Business Intelligence Feature Requirements .......................................................40

Targeted Applications for Embedded Business Intelligence ...................................................46

Integration Resources for Embedded Business Intelligence ..................................................51

Industry and Vendor Analysis ....................................................................................................57

Embedded Business Intelligence Vendor Ratings .................................................................62

Glossary....................................................................................................................................63

Other Dresner Advisory Services Research Reports .................................................................66

Appendix: Embedded Business Intelligence Study Survey Instrument ......................................67




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Benefits of the Study

The DAS Embedded 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 Embedded

Business Intelligence Market Study to understand how their peers are leveraging and

investing in business intelligence and related technologies.

Using our unique vendor performance measurement system, users glean key insights

into 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 DAS Embedded Business Intelligence Market Study in

several important ways:

External Awareness

Build awareness for the business intelligence market and supplier brand,

citing DAS Embedded Business Intelligence Market Study trends and vendor

performance

Create lead and demand-generation for supplier offerings through association

with DAS Embedded Business Intelligence Market Study brand, findings,

webinars, etc.

Internal Planning

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

identified in DAS Embedded Business Intelligence Market Study

Better understand customer priorities, concerns, and issues

Identify competitive pressures and opportunities




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About Howard Dresner and Dresner Advisory Services The DAS Embedded Business Intelligence Market Study was conceived, designed, and

executed by Dresner Advisory Services, LLC, an independent advisory firm, and

Howard Dresner, its president, founder and chief research officer.

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

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

has published two books on the subject, The Performance

Management Revolution – Business Results through Insight

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

Performance – Business Intelligence Journeys and the

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

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

business and trade press.

Prior to Dresner Advisory Services, Howard served as chief

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

led its business intelligence research practice for 13 years.

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

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

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

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

research reports include:

- Wisdom of Crowds “Flagship” Business Intelligence Market study

- Advanced and Predictive Analytics

- Cloud Computing and Business Intelligence

- Collective InsightsTM

- Internet of Things and Business Intelligence

- Small and Mid-Sized Enterprise Business Intelligence

Howard conducts a weekly Twitter “tweetchat” on Fridays at 1:00 p.m. ET. During these

live events the #BIWisdom “tribe” discusses a wide range of business intelligence

topics.

You can find more information about Dresner Advisory Services at

www.dresneradvisory.com.


http://www.biwisdom.com/

http://www.predictiveanalyticsreport.com/

http://cloudbi.report/

http://www.collectiveinsights.report/


http://www.iotindustryreport.com/

http://www.smebireport.com/



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

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

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

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

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

industry coverage for hundreds of contributors across the breadth of

the data and information management industry.

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

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

Top Information Managers.” His related feature articles earned

ASBPE national bronze and multiple Mid-Atlantic region gold and

silver awards for Technical Article and for Case History feature

writing.

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

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

in continuous production for more than five years.

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

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

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

audiences.




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Survey Method and Data Collection As with all of our Wisdom of Crowds® Business Intelligence Market Studies, we

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

sourcing techniques to recruit participants.

We include our own research community of over 3,500 organizations as well as

crowdsourcing and vendors’ customer communities.

Data Quality

We carefully scrutinized and verified all respondent entries to ensure that only qualified

participants are included in the study.




10

Executive

Summary




11

Executive Summary Among the 30 strategic business intelligence topics we currently study,

embedded BI technology ranks 12th, behind mainstream BI practices but ahead

of areas including governance, cloud, big data, and social media analysis (p. 18).

The perceived overall importance of embedded BI has steadily increased over

time, either in expectations of criticality or actual usage (pp. 19-23). Vendors

consider embedded BI even more important than users, though sentiment cooled

slightly in 2016 (p. 57).

The most important user objectives for embedded BI are to "broaden access to

internal users" and “provide in-context insights and analysis.” The BICC leads

interest in internal uses. Executive management is interested in all parties,

including external. Small organizations also covet external consumers (pp. 24-

28).

Seventy-three percent of respondents are already using or will use embedded BI

within 12 months. R&D is by far the largest current user by department; small

organizations are also more likely users of embedded BI (pp. 29-33).

Users overwhelmingly say they are more and more looking for lightweight

architectures for embedded BI, led by HTML/iframes and Web services/RESTful

(pp. 34-39). Industry support for these preferences is almost universal (pp. 58-

59).

“Interact with objects” and “single sign-on” are the top embedded BI feature

priorities. Most advanced features are gaining some momentum (pp. 40-45).

Industry support for feature priorities is again well aligned with demand (pp. 60-

61).

The most targeted applications for embedded BI are Web portals, financial app

management, ERP, and sales force management apps (pp. 46-50).

Central IT remains the top integration resource for embedded BI in 2016 and

over time, followed by the business analyst. Internal integration resources have

gained ground over external parties over time (pp. 51-55).




12

Study

Demographics




13

Study Demographics Our study includes a cross-section of data across geographies, functions, organization

size, and vertical industries. We believe that, unlike other industry research, this

supports a more representative sample and better indicator of true market dynamics.

We constructed cross-tab analyses using these demographics to identify and illustrate

important industry trends.

Geography

North America, which includes the U.S., Canada, and Puerto Rico, represents 62

percent of respondents (fig. 1). EMEA accounts for the next largest group (25 percent),

followed by Asia Pacific and Latin America.

Figure 1 – Geographies represented

62%

25%

9%

4%

0%

10%

20%

30%

40%

50%

60%

70%

North America Europe, Middle East andAfrica

Asia Pacific Latin America

Geographies Represented




14

Functions

IT (34 percent), the business intelligence competency center (22 percent), and

executive management (15 percent) are the largest groups represented in our

embedded business intelligence sample (fig. 2). This functional mix is somewhat more

balanced than in previous years.

Examining trends and behavior by function helps us compare and contrast plans and

priorities in different areas of organizations.

Figure 2 - Functions represented

34%

22%

15%

8% 7%

15%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

35.0%

40.0%

InformationTechnology (IT)

Businessintelligencecompetency

center

ExecutiveManagement

Finance Research andDevelopment

(R&D)

Other

Functions Represented




15

Vertical Industries

Vertical industry distribution is somewhat more balanced than in previous years.

Technology (15 percent), healthcare (11 percent), financial services (10 percent), and

consulting (8 percent) are the most represented followed by retail, education, and

manufacturing. We include responses from consultants—who often have greater

interaction with initiatives and deeper industry knowledge than many customer

counterparts. This also yields insight into the partner ecosystem for BI vendors (fig. 3).

Figure 3 – Vertical industries represented

15%

11%

10%

8%

6% 5% 5%

4% 4% 4%

2% 2% 2% 2% 2%

1% 1% 1% 1%

5%

0.0%

2.0%

4.0%

6.0%

8.0%

10.0%

12.0%

14.0%

16.0%

Vertical Industries Represented




16

Organization Size

Respondents reflect a mix of organizational sizes and structures (fig. 4). Small

organizations of 1-100 employees represent 28 percent of the sample. Mid-sized

organizations account for 24 percent, and the remaining 48 percent are large

organizations with more than 1,000 employees.

Figure 4 – Organization sizes represented

28%

24%

28%

21%

0%

5%

10%

15%

20%

25%

30%

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

Organization Sizes Represented




17

Analysis and

Trends




18

Analysis and Trends: Business Intelligence Users

Importance of Embedded Business Intelligence

Among the 30 strategic business intelligence topics we currently study, embedded BI

technology ranks 12th (fig. 5). This puts embedded BI roughly in the middle of all

technologies and initiatives strategic to business intelligence, behind the most

mainstream BI practices (reporting, dashboards, end-user self-service) but ahead of

other widely discussed initiatives including governance, cloud, big data, and social

media analysis. This reflects awareness and openness toward embedded technologies,

an anticipation of future BI automation, and an expectation of more pervasive use of BI.

Figure 5 - Technologies and initiatives strategic to business intelligence

0% 20% 40% 60% 80% 100%

Reporting

Dashboards

End-user "self-service"

Advanced visualization

Data discovery

Data warehousing

Data mining, advanced algorithms, predictive

Integration with operational processes

Data storytelling

Enterprise planning/budgeting

Mobile device support

Embedded BI (contained within an application,…

Governance

Collaborative support for group-based analysis

End-user data preparation and blending

Search-based interface

Software-as-a-Service and cloud computing

In-memory analysis

Ability to write to transactional applications

Location intelligence/analytics

Big data (e.g., Hadoop)

Pre-packaged vertical/functional analytical…

Text analytics

Streaming data analysis

Open source software

Social media analysis (SocialBI)

Cognitive BI (e.g., Artificial Intelligence-based BI)

Complex event processing (CEP)

Internet of Things (IoT)

Edge computing

Technologies and Initiatives Strategic to Business Intelligence

Critical

Very important

Important

Somewhatimportant

Not important




19

Across four years of study data, the perceived overall importance of embedded BI has

steadily increased over time, either in expectations of criticality or actual usage (fig. 6).

Year over year, more people have come to consider embedded BI "critical" (28 percent

in 2016) while fewer consider it only "somewhat important" (9 percent) or "unimportant"

(3 percent). As reflected in fig. 5, we can conclude that embedded BI is very much in the

mix of emergently strategic initiatives important to improved decision making at

organizations.

Figure 6 - Importance of embedded BI 2013 to 2016

0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

Critical Very important Important Somewhatimportant

Not important

Importance of Embedded BI 2013 to 2016

2013 2014 2015 2016




20

The perceived importance of embedded BI is slightly greater in North America and

EMEA than in Asia Pacific and Latin America (fig.7). Mean levels of perceived

importance across all geographies falls from the upper range of "important" to "very

important." It is uncertain whether these numbers reflect any actual usage by region or

perceived opportunity going forward.

Figure 7 - Importance of embedded BI by geography

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Europe, MiddleEast and Africa

North America Asia Pacific Latin America

Importance of Embedded BI by Geography

Critical

Very important

Important

Somewhat important

Not important

Mean




21

Attitudes toward embedded BI vary by industry, but overall mean interest ranges

between "important and "very important" (fig. 8). Manufacturing leads in terms of overall

mean interest, likely in the form of internal/operational applications. While retail and

wholesale trail other industries in adjusted mean score, it also has the highest "critical"

score. Absent other detail, we would expect retail and wholesale to be early adopters of

embedded BI with a more external focus. Healthcare and financial services also report

higher than average "critical" scores, perhaps indicating concentrated areas of

beneficial use (e.g., bedside care, portfolio management).

Figure 8 - Importance of embedded BI by vertical industry

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Importance of Embedded BI by Vertical Industry

Critical

Very important

Important

Somewhat important

Not important

Mean




22

R&D and IT (followed by BICC) report slightly greater departmental interest in

embedded BI in our 2016 sample (fig. 9). In part, this reflects the technical nature of

embedded BI and analytics. That said, almost all department/functions share similar

"very important" interest until we reach sales and marketing where interest drops

noticeably. R&D may be exploring embedded BI with an eye on innovation and ways to

manage costs or shorten development cycles. We expect embedded BI will appeal to

information technology departments as a means to streamline information delivery and

shortcut information requests for more facile self-service.

Figure 9 - Importance of embedded BI by function

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Importance of Embedded BI by Function

Critical

Very important

Important

Somewhat important

Not important

Mean




23

Mean levels of interest in embedded BI by organization size falls into a fairly narrow

range led slightly by larger (1,001-5,000 employees) and small (1-100 employees)

organizations (fig. 10). Small and some large organizations both report mean value at

around 3.9 ("very important"), that falls to about 3.5 in mid-sized (101-1,000 employees)

organizations. The largest organizations have similar (3.72 mean) interest in embedded

BI. Small and large organizations are more likely to consider embedded BI "critical."

Figure 10 – Importance of embedded BI by organization size

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

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

Importance of Embedded BI by Organization Size

Critical

Very important

Important

Somewhat important

Not important

Mean




24

Objectives for Embedded BI

New for 2016, we asked organizations about their objectives for embedded BI and

offered them a choice of four responses. Most important to respondents was the ability

to "broaden access to internal users" (fig. 11). This finding along with respondents'

second choice ("in-context insights and analysis) supports our belief that early stage

embedded BI is most often likely to be an internal exercise to spread access, improve

employee awareness, and assign context and greater insight. The choice of providing

external users with access was less popular; the option of monetizing embedded BI for

a fee is currently less popular still.

Figure 11 - Objectives for embedded BI

0% 20% 40% 60% 80% 100%

Broaden access to internalusers

Provide internal applicationusers with in-context insights

and analysis

Provide complimentary accessto external users

Provide access to externalusers for a fee

Objectives for Embedded BI

Critical Very important Important Somewhat important Not important




25

Objectives for embedded BI mostly rank consistently across geographies (fig. 12).

Respondents in all regions are most interested in using embedded BI to extend reach to

more users and deliver more context. The latter two choices of external access and fee-

based access to embedded BI are least popular among North American respondents.

Figure 12 - Objectives for embedded BI by geography

1

1.5

2

2.5

3

3.5

4

4.5

5

Broaden access to internal users Provide internal applicationusers with in-context insights

and analysis


Provide access to external usersfor a fee

Objectives for Embedded BI by Geography

North America Asia/Pacific

Latin America Europe, Middle East and Africa

Mean




26

Objectives for embedded BI vary somewhat by function (fig. 13). BICC respondents

lead interest in internal-facing uses; finance also shows above-mean interest in internal

users. Executive management has a slightly more opportunistic view of using

embedded BI for complimentary or fee-based outside access. R&D is likely to lead any

executive mandates to provide outside user access to embedded BI.

Figure 13 - Objectives for embedded BI by function

1

1.5

2

2.5

3

3.5

4

4.5

5

Broaden access tointernal users

Provide internalapplication users with in-

context insights andanalysis

Provide complimentaryaccess to external users


Objectives for Embedded BI by Function

Executive Management Sales and MarketingResearch and Development (R&D) Information Technology (IT)Finance Business intelligence competency center




27

Rankings for embedded BI objectives are consistent across organizations of different

sizes (fig. 14). While large organizations are somewhat more likely to broaden internal

access, small organizations are definitely more aggressive in enabling external parties

and finding ways to charge for embedded BI. This suggests a strong entrepreneurial or

startup opportunity for using embedded BI as a central part of a business model.

Overall, embedded BI could be offered or created as an internal department or third-

party service for improving sales and shortening pipelines and development cycles

through the use of internal or external data.

Figure 14 - Objectives for embedded BI by organization size

1

1.5

2

2.5

3

3.5

4

4.5

Broaden access to internal users Provide internal applicationusers with in-context insights

and analysis


Provide access to external usersfor a fee

Objectives for Embedded BI by Organization Size

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




28

Rankings for embedded BI objectives vary noticeably across different industry verticals

(fig. 15). We are not surprised to see consulting services rank strongly in this measure

given the hype and green field opportunities (monetizing data) mostly still in the offing

for embedded BI. Technology, healthcare, and especially manufacturing have stronger

internal than external objectives to operationalize and mix BI in with existing

applications. Retail and wholesale also appears in search of ways to monetize data and

buffer thin margins. Financial services has above-average interest in providing

complimentary access to customers through portals or Web applications.

Figure 15- Objectives for embedded BI by vertical industry

1

1.5

2

2.5

3

3.5

4

4.5

5

Broaden access to internalusers

Provide internal applicationusers with in-context insights

and analysis

Provide complimentaryaccess to external users


Objectives for Embedded BI by Vertical Industry

Technology Healthcare Financial services

Consulting Retail and Wholesale Manufacturing

Mean




29

Adoption of Embedded Business Intelligence

Given its relative newness, we would characterize adoption of embedded BI as strong,

given that a large majority (73 percent) of respondents are already using or will use the

technology within 12 months (fig. 16). With an established base of 38 percent current

users and only 8 percent with no plans, respondents are placing embedded BI above

other initiatives including advanced and predictive analytics, big data, and collaborative

BI.

Figure 16 - Adoption of embedded business intelligence

Using today, 38%

12 months, 35%

24 months, 19%

No plans, 8%

Adoption of Embedded Business Intelligence




30

The largest bases of current user of embedded BI are found in Asia Pacific, North

America and EMEA (fig. 17). Interestingly, this representation does not follow

"importance by geography" (fig. 7, p. 20) wherein Asia-Pacific interest trails that in

EMEA and North America. While Latin America claims the fewest number of current

embedded BI users, it has by far the most aggressive 12-month adoption plans.

Figure 17 - Adoption of embedded business intelligence by geography

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Asia Pacific North America Europe, Middle Eastand Africa

Latin America

Adoption of Embedded Business Intelligence by Geography

Using today

12 months

24 months

No plans




31

As represented in fig. 18, embedded BI is still in early days or experimental phases of

adoption. Research and development is by far the largest current user (59 percent),

followed by the BICC (40 percent) and IT (39 percent). Existing frontline use trails off

noticeably among executives (36 percent) and sales and marketing (36 percent). While

finance has a fairly high estimation of the importance of embedded BI (fig. 9, p. 22), it is

nonetheless only 16 percent likely to be using the technology today. By organization or

department, use cases are still emerging and will dictate future views of adoption.

Figure 18 - Adoption of embedded business intelligence by function

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Research andDevelopment

(R&D)

Businessintelligencecompetency

center

InformationTechnology

(IT)

ExecutiveManagement

Sales andMarketing

Finance

Adoption of Embedded Business Intelligence by Function

Using today

12 months

24 months

No plans




32

Among organizations of different sizes, current adoption is greatest at small (1-100

employees) organizations most likely to be opportunistic and subject to the lowest risk

of adoption (fig. 19). Current adoption trails in midsized (101-1,000 employees) and

some large organizations before rebounding at large (1,001-5,000 employees) and very

large organizations with more than 5,000 employees.

Figure 19 - Adoption of embedded business intelligence by organization size

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

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

Adoption of Embedded Business Intelligence by Organization Size

Using today

12 months

24 months

No plans




33

Adoption of embedded BI varies by vertical industry (fig. 20). Telecommunications, with

its constant focus on network operations and indicators of customer usage and/or likely

churn, leads our 2016 sample in current adoption of embedded BI. Manufacturing, likely

interested in operations and asset management, is second among current usage,

closely followed by financial services (which also has the greatest 12-month adoption

plans). We are somewhat surprised to see retail and healthcare trail in this measure,

though all verticals sampled report current adoption at 30 percent or more.

Figure 20 - Adoption of embedded business intelligence by vertical industry

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Adoption of Embedded Business Intelligence by Vertical Industry

Using today

12 months

24 months

No plans




34

Embedded Business Intelligence Architecture

We asked organizations to describe their interest in a variety of embedded BI

architectures (fig. 21). In no uncertain terms, respondents in 2016 tell us they are

looking for lightweight integration, as shown in the drop-off that follows HTML/iframe

and Web services/RESTful. Java scripts and JSON are the next most popular, followed

by a decline through proprietary platforms and frameworks all the way down to

increasingly obsolete Flash API. We continue to expect that over time lightweight

methods will bring the greatest adoption and support expansion of BI with more users

than otherwise possible.

Figure 21 - Embedded BI architecture

1

1.5

2

2.5

3

3.5

4

4.5

5

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Embedded BI Architecture

Critical Very important Important

Somewhat important Not important Mean




35

Across four years of study data, the use of lightweight integration formats (RESTful,

HTML) has accelerated noticeably while other frameworks and platforms are flat or in

decline (fig. 22). Sorted by 2016 data, HTML is just slightly ahead of Web services, after

which current data and long-term trending relevance fall quickly for most options. These

more accessible approaches again seem to be at the root of this preference with the top

choices also the most utilitarian and least likely to call for extensive coding/compiling.

Figure 22 - Embedded BI architecture 2013 to 2016

1

1.5

2

2.5

3

3.5

4

4.5

5

Embedded BI Architecture 2013 to 2016

2013

2014

2015

2016




36

By geography, iframes and RESTful hold sway across all regions (fig.23). However, we

do see some areas of variability. In our 2016 sample, Asia Pacific leads interest in many

areas including Web services, JavaScript, JSON, Java .NET, and others. While it leads

HTML interest by a small margin, North American interest in JavaScript trails other

regions despite its widespread use. Latin America reports the lowest interest in

RESTful, frameworks, and portlets. EMEA interest in embedded BI architectures is

below average in most categories polled.

Figure 23 - Embedded BI architecture by geography

0

1

2

3

4

5HTML/ iframe

Web services (RESTful,Soap)

Java_Script API

JSON

Java API

.NET API

Frameworks (Force.com,Sharepoint)

Python APIPortlets

PHP framework

Office API

COM

Desktop widgets

Google Gadgets

Flash API

Embedded BI Architecture by Geography

North America Asia/Pacific Latin America Europe, Middle East and Africa




37

Attitudes toward embedded BI architecture vary considerably by functional role (fig. 24).

R&D shows the greatest interest in RESTful, and high interest in JavaScript. Not

surprisingly, IT advocates .NET. Executives are most bullish on JavaScript and Java

API likely due to popularity/mindshare. While finance reports low or the lowest interest

in most modern and highest-ranked integration modes, it also has the strongest interest

in packaged/prebuilt integration via frameworks like Force.com, portlets, Office API,

widgets, and gadgets.

Figure 24 - Embedded BI architecture by function

1

1.5

2

2.5

3

3.5

4

4.5HTML/ iframe


Java_Script API

JSON

Java API

.NET API


Python APIPortlets

PHP framework

Office API

COM

Desktop widgets

Google Gadgets

Flash API

Embedded BI Architecture by Function

Executive Management Sales and Marketing

Research and Development (R&D) Information Technology (IT)

Finance Business intelligence competency center




38

The two most popular embedded BI architectures, HTML and RESTful, are also most

important to organizations of all different sizes (fig. 25). Very large organizations

(>5,000) have the greatest interest in HTML, .NET and subsequent high interest in most

of the top-six ranked architectures. Small organizations (1-100 employees), perhaps

with less legacy integration and more flexibility, report the most interest in RESTful,

JavaScript, and JSON. Mid-sized organizations (101-1,000 employees) most prefer

Java API, frameworks such as Force.com, Python, and portlets.

Figure 25 - Embedded BI architecture by organization size

0

1

2

3

4

5HTML/ iframe


Java_Script API

JSON

Java API

.NET API


Python APIPortlets

PHP framework

Office API

COM

Desktop widgets

Google Gadgets

Flash API

Embedded BI Architecture by Organization Size

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




39

As was the case with all respondents, all industries share the same highest interest in

HTML/iframe and Web services/RESTful (fig. 26). Manufacturing is at or near the top

industry for both top choices. Financial services leads interest in RESTful and has high

interest in JavaScript. In our 2016 sample, education gives the highest marks to

JavaScript and Java API while healthcare reports the strongest support for JSON,

Python, and portlets. Retail and wholesale trails interest in our sample across top

categories studied but has the highest interest in frameworks such as Force.com and

Office API.

Figure 26 - Embedded BI architecture by vertical industry

0.0

1.0

2.0

3.0

4.0

5.0HTML/ iframe


Java_Script API

JSON

Java API

.NET API

Frameworks(Force.com, Sharepoint)

Python APIPortlets

PHP framework

Office API

COM

Desktop widgets

Google Gadgets

Flash API

Embedded BI Architecture by Vertical Industry

Healthcare Financial services Retail and Wholesale Manufacturing Education




40

Embedded Business Intelligence Feature Requirements

We asked respondents to prioritize embedded BI features in order of their importance to

their roles and organizations. Their top choice, the ability to interact, represents a desire

to manipulate non-static BI objects through drill-down and filtering (fig. 27). Their second

choice, single sign-on, supports the ability to access embedded BI objects seamlessly

across applications and servers. Other pedestrian tasks (open/view, browse/select) rank

ahead of more advanced features (modify/create, apply analytics), reflecting the desire

for lightweight, informative, and task-oriented embedded capabilities.

Figure 27 – Embedded BI feature priorities

0% 20% 40% 60% 80% 100%

Interact with objects (navigate, filter, drill)

Single sign-on/security integration

Refresh objects/prompts

Open/view objects

Browse/select from catalog of objects

Alerts

Save and publish objects

Modify/create objects

Apply analytical algorithms, mining,predictive

Re-skinning/customizing interface

Introduce user-supplied data for"mashups"

Embedded BI Feature Priorities





41

Across four years of study, embedded BI capability preferences are in a somewhat

steady state with good ongoing enthusiasm and some changes in emphasis (fig. 28).

Overall rankings hold with previous preferences for lightweight, informative, and task-

oriented embedded BI capabilities. In 2016, “interact with objects” moved ahead of

“single sign-on” as the top choice. Open/view, refresh, select, save/publish and

modify/create were among capabilities gaining momentum year over year. The only

exception was a slight decline in interest in alerts from embedded BI.

Figure 28 - Embedded BI feature priorities 2013 to 2016

1

1.5

2

2.5

3

3.5

4

4.5

5

Embedded BI Feature Priorities 2013 to 2016

2013

2014

2015

2016




42

Interest in the top two embedded feature choices (“interact with objects” and “single

sign-on”) was unanimous and tightly clustered across geographical regions in 2016 (fig.

29). Elsewhere, Asia-Pacific respondents reported the greatest interest in most

intermediate and advanced capabilities, especially refresh objects, save/publish, and

modify/create objects. North America and EMEA showed intermediate interest in these

advanced functions while Latin American respondents generally trailed levels of

interest.

Figure 29 - Embedded BI feature priorities by geography

2

2.5

3

3.5

4

4.5

Interact with objects(navigate, filter, drill)

Single sign-on/securityintegration


Open/view objects

Browse/select from catalogof objects

AlertsSave and publish objects


Apply analyticalalgorithms, mining,

predictive

Re-skinning/customizinginterface

Introduce user-supplieddata for "mashups"

Embedded BI Feature Priorities by Geography

North America Asia Pacific Latin America Europe, Middle East and Africa




43

Interest in embedded BI features varies somewhat by function (fig. 30). Finance showed

surprising levels of standout interest, especially in interact, refresh, open/view, and

analytical algorithms (which might assist the planning function). Executive

management’s highest interest was in open/view and browse/select, indicating a simpler

desired level of interaction. The BICC’s greatest involvement appears to be in support of

those executive preferences. Many areas (interact, single sign-on, save and publish)

drew high or greatest interest in R&D, indicating a horizon for future deployment. Sales

and marketing reported generally low interest in functions, especially the most

advanced.

Figure 30 - Embedded BI feature priorities by function

1

1.5

2

2.5

3

3.5

4

4.5




Open/view objects

Browse/select from catalog ofobjects



Apply analytical algorithms,mining, predictive


Introduce user-supplied datafor "mashups"

Embedded BI Feature Priorities by Function

Executive Management Sales and Marketing

Research and Development (R&D) Information Technology (IT)

Finance Business intelligence competency center




44

We would expect embedded business intelligence to be a large-organization

phenomenon based on organizational maturity, operational benefits, and economies of

scale. Indeed, large organizations (>1,000 employees) have high interest in interact,

single sign-on, and alerting (fig. 31). However, our 2016 sample indicates that small

organizations are taking embedded BI farther than large counterparts in areas including

open/view, save and publish, modify/create, smashups and, especially, re-skinning (for

branding or other purposes). These same "advanced" embedded BI features are of

below-average interest to very large (>5,000 employees) organizations. Mid-sized

organizations have lower or trailing interest in most feature priorities.

Figure 31 – Embedded BI feature priorities by organization size

1

1.5

2

2.5

3

3.5

4

4.5

Embedded BI Feature Priorities by Organization Size

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




45

Embedded BI feature priority rankings are mostly consistent across industries studied

(fig. 32). Interestingly, healthcare shows the highest interest in multiple capabilities that

include interact, open/view, and alerts. Higher education respondents also responded

strongly to several features including interact, refresh objects, browse/select,

save/publish, modify/create, and analytics. Financial services responded most strongly

to re-skinning, possibly in pursuit of customer enablement. Retail/wholesale and

manufacturing were least interested in embedded BI features by industry.

Figure 32 - Embedded BI feature priorities by vertical industry

2.00

2.50

3.00

3.50

4.00

4.50




Open/view objects

Browse/select from catalogof objects



Apply analyticalalgorithms, mining,

predictive


Introduce user-supplieddata for "mashups"

Embedded BI Feature Priorities by Vertical Industry





46

Targeted Applications for Embedded Business Intelligence

We asked respondents to describe specific applications for which they would target

embedded BI (fig. 33). Web portals, financial application management apps, ERP apps,

and sales force management apps stand out most strongly. We would expect most

usage to be internal, though portals and financial management might well serve

customers and other third parties. Marketing automation and workforce management,

two seemingly fertile use cases for embedded BI, are currently less popular. It is notable

that embedded BI is not yet considered a deliverable for call centers, personal

productivity, or supply chain.

Figure 33 - Targeted applications for embedded BI

0% 20% 40% 60% 80% 100%

Web portals

Financial management applications

ERP applications

Sales force management applications

Marketing automation applications

Workforce management applications

Supply chain management/procurementapplications

Personal productivity applications

Call center management applications

Targeted Applications for Embedded BI





47

Interest in multiple targeted applications for embedding BI increased year over year in

2016. Rankings were mostly consistent with previous years with the top four application

targets in the range of 3.0 to 3.5, or greater than "important.” The two leading app

targets, Web portals and financial applications, gained the most (fig. 34). Other gainers

included supply chain, personal productivity, call center, sales force management,

marketing automation, and workforce management apps. ERP application embedded BI

was flat year over year.

Figure 34 – Application targets for embedded BI 2013 to 2016

1

1.5

2

2.5

3

3.5

4

4.5

5

Application Targets for Embedded BI 2013 to 2016

2013 2014 2015 2016




48

Interest in targeted applications is somewhat clustered when viewed by geography (fig.

35). All regions agree with the importance of Web portals and are generally in

agreement on marketing automation and workforce management. Asia Pacific leads

many categories of interest with an operational bent (financial management, ERP, sales

force, supply chain). North America and EMEA mostly follow the mean level of interest

across targeted apps. Not until we get to call center management does Latin America

emerge as a leader of interest.

Figure 35 - Targeted applications for embedded BI by geography

2

2.5

3

3.5

4

4.5Web portals

Financial managementapplications

ERP applications

Sales force managementapplications

Marketing automationapplications

Workforce managementapplications

Supply chainmanagement/procurement

applications

Personal productivityapplications

Call center managementapplications

Targeted Applications for Embedded BI by Geography





49

Organizations of different sizes report different levels of interest in embedded BI target

applications in all areas (fig. 36). Large (>1,000 employees) organizations report

exceptional interest in Web portals and, as we might expect, leading interest in financial

management, sales force management, and workforce management apps. Still very

large (>5,000) organizations are surprisingly less enthusiastic. Small organizations

report the highest interest in supply chain, marketing automation, and ERP applications,

(normally reserved to larger organizations).

Figure 36 - Targeted applications for embedded BI by organization size

1

1.5

2

2.5

3

3.5

4

Targeted Applications for Embedded BI by Organization Size

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




50

Specific applications targeted for embedded BI vary by industry but mostly hold true to

overall rankings (fig. 37). Manufacturing unsurprisingly leads interest in supply chain

and ERP (MRP) but also in sales force management and marketing automation. Retail

and wholesale interest is generally below average but unsurprisingly strongest in supply

chain and workforce management. The strongest clusters of industry agreement are in

areas of marketing automation and workforce management.

Figure 37 - Targeted applications for embedded BI by vertical industry

2.00

2.50

3.00

3.50

4.00

4.50Web portals

Financial managementapplications

ERP applications

Sales force managementapplications

Marketing automationapplications

Workforce managementapplications

Supply chainmanagement/procurement

applications

Personal productivityapplications

Call center managementapplications

Targeted Applications for Embedded BI by Vertical Industry





51

Integration Resources for Embedded Business Intelligence

In 2016, central IT remains the top integration resource for embedded BI (fig. 38). The

business analyst was the second-most cited resource as subject matter (integration)

resource, ahead of departmental IT. After this third choice, preferred/prioritized

integration resources falls considerably across BI software vendors, app software

providers, and other third parties, indicating that embedded BI integration remains a

mostly internal exercise.

Figure 38 - Prioritized integration resources for embedded BI

1

1.5

2

2.5

3

3.5

4

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Prioritized Integration Resources for Embedded BI

Unlikely

Possibly

Probably

Definitely

Mean




52

Across four years of study, central IT has easily held its ground as the top integration

resource for embedded BI (fig. 39). Plainly though, the importance of BI software

vendors, app software vendors, and consultants has declined as business analysts and

departmental IT staffs have gained considerable relevance. This affirms the

internal/centralized view of integration resources depicted in fig. 38.

Figure 39 –Prioritized integration resources for embedded BI 2013 to 2016

1

1.5

2

2.5

3

3.5

4

Central ITdepartment

BI softwarevendor

Business analyst Applicationsoftware vendor

Departmental IT Third-partyconsultant

Prioritized Integration Resources for Embedded BI 2013 to 2016

2013 2014 2015 2016




53

Prioritized integration resource preferences for embedded BI mostly hold true across

geographies, with the notable exception of Latin America (fig. 40). Asia Pacific has the

highest preference for central IT, followed closely by EMEA and North America. Asia-

Pacific respondents also report the greatest breadth of prioritized integration resources

and report the greatest use of consultants, BI and app software vendors. EMEA

somewhat prefers departmental IT over business analysts. Latin America, with less

overall enthusiasm, skews toward BI software and app software vendors for embedded

BI integration.

Figure 40 – Prioritized integration resources for embedded BI by geography

1

1.5

2

2.5

3

3.5

4


Prioritized Integration Resources for Embedded BI by Geography

Central IT department Business analyst Departmental IT

BI Software vendor Application software vendor Third-party consultant

Customer




54

As we would expect, the preference for central IT as the top embedded BI integration

resource increases with organization size (fig. 41). Very large organizations also are

most likely to use departmental IT as an integration resource. Interestingly, the use of

business analysts slightly decreases as organization size increases, perhaps in

reflection of the relative autonomous influence of analysts in smaller organizations.

Small organizations report the most balanced mix of internal and external/third parties

as integration resources for embedded BI.

Figure 41 - Prioritized integration resources for embedded BI by organization size

1

1.5

2

2.5

3

3.5

4

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

Prioritized Integration Resources for Embedded BI by Organization Size

Central IT department Business analyst Departmental IT

BI Software vendor Application software vendor Third-party consultant

Customer




55

With the exception of education, all industries sampled are by far most likely to use

central IT as the preferred integration resource for embedded BI (fig. 42). Perhaps in

reflection of the organization size in our sample, financial services, dominated by large

players, is most likely to use departmental IT as an integration resource. Higher

education, typically less IT-centric than other industries, is most likely to use the

business analyst as a preferred integration resource. Healthcare and manufacturing

appear to use the most balanced mix of internal and external integration resources.

Figure 42- Prioritized integration resources for embedded BI by vertical industry

1.00

1.50

2.00

2.50

3.00

3.50

4.00


Prioritized Integration Resources for Embedded BI by Vertical Industry

Central IT department Business analyst

Departmental IT BI Software vendor

Application software vendor Third-party consultant




56

Industry and

Vendor

Analysis




57

Industry and Vendor Analysis We reached out to the vendor community and asked questions about their capabilities

and plans for embedded BI, including its perceived importance to their strategies.

Like the user sample, industry respondents have grown a stronger view of the

importance of embedded BI over time, though sentiment cooled slightly in 2016 (fig. 43).

Sixty-seven percent of vendors say embedded BI is critically important (compared to 69

percent in 2015). This “critical” sentiment is far higher among vendors (69 percent) than

among respondents (28 percent) (fig. 6, p. 20). By comparison, users are much more

likely to consider BI "very important" (37 percent) than vendors in 2016 (19 percent)

(ibid). Just 6 percent of vendors say embedded BI is "not important."

Figure 43 – Industry importance of embedded BI 2013 to 2016

0%

10%

20%

30%

40%

50%

60%

70%

80%

Critically important Very important Somewhat important Not important

Industry Importance of Embedded BI 2013 to 2016

2013

2014

2015

2016




58

Industry support for embedded BI architecture (fig. 44) is high and strongly supports

user preferences shown earlier (fig. 21, p. 35). HTML/iframes and Web services/

RESTful, at 90 percent or greater support can be considered almost ubiquitous. The

next four highest support areas (JavaScript, JSON, Java API, .NET) also closely reflect

user preferences (ibid). Python API (considered important to machine learning) retains

industry interest, and we expect vendors to continue to support all these technical

architectures in one product or another. Where the "no plans" rating reaches 50 percent

or greater (Flash, COM, gadgets, and widgets) we can expect these architectures to

become increasingly irrelevant over time.

Figure 44 – Industry support for embedded BI architecture

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Industry Support for Embedded BI Architecture

No plans

24 months

12 months

Available today




59

Industry support for most embedded architecture technologies most demanded by users

(HTML/iframe, Web services, Java, etc.) increased in 2016 compared to the previous

year (fig. 45). This was especially the case for JavaScript, .NET, and Web services. As

we inferred in fig 44 above, support for Python rebounded while support for gadgets and

widgets hovered near 20 percent. Support for Flash and COM were flat.

Figure 45 – Industry support for embedded BI architecture 2013 to 2015

0%

20%

40%

60%

80%

100%

120%

Industry Support for Embedded BI Architecture 2013 to 2016

2013 2014 2015 2016




60

There is very strong industry support for the full gamut of embedded BI features in 2016

(fig. 46). At minimum, the top seven categories, led by interact and single sign-on, can

be considered fully supported in 2016. Future support to full penetration is expected for

the remaining categories, with the most 12-month ground to be made up in alerts and

analytical algorithms. Industry support is well ahead of customer feature priorities (fig.

27, p. 40), indicating that the vendor industry expects ongoing and increasing adoption

of embedded BI.

Figure 46 - Industry support for embedded BI features

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Industry Support for Embedded BI Features

No plans

24 months

12 months

Available today




61

Across four years of study data, embedded BI capabilities have mostly gained over

time, and most have increased year over year (fig. 47). The biggest gainers in 2016

include advanced capabilities (save/publish, modify/create) and also more pedestrian

capabilities (browse/select, interact, refresh). A new feature, "run invisibly," also

debuted with reports of current industry support above 80 percent.

Figure 47 – Industry support for embedded BI features 2013 to 2016

0%

20%

40%

60%

80%

100%

120%

Industry Support for Embedded BI Features 2013 to 2016

2013 2014 2015 2016




62

Embedded Business Intelligence Vendor Ratings

In rating the vendors, we considered embedded BI features/capabilities and embedded

architecture. A score of at least 50 percent is required to be ranked (fig. 33). Weightings

are based upon user prioritizations of functionality. With a tight grouping of scores, all

vendors cited in the ratings exhibit solid embedded capabilities. The top-rated vendors

include Logi Analytics (1st), Information Builders (2nd), SAP (2nd), MicroStrategy (3rd),

Birst (4th), OpenText (4th), Jinfonet (5th), Looker (5th), TIBCO (5th).

Figure 48 - Embedded BI vendor ratings

1

2

4

8

16

32Logi Analytics

Information Builders

SAP

MicroStrategy

Birst

OpenText

Jinfonet

Looker

TIBCO

Dundas

Pentaho

Tableau

Infor

Jedox

Pyramid Analytics

Qlik

Embedded BI Vendor Ratings

Architecture Features Overall




63

Glossary An application programming interface (API) specifies how some software components should

interact with each other. In practice, most often an API is a library that includes specifications for

routines, data structures, object classes, and variables. An API specification can take many

forms, including an International Standard such as POSIX, vendor documentation such as the

Microsoft Windows API, the libraries of a programming language, e.g., Standard Template

Library in C++ or Java API. An API differs from an application binary interface (ABI) in that an

API is source-code based while an ABI is a binary interface. For instance POSIX is an API,

while the Linux Standard Base is an ABI.*

Component Object Model (COM) is a binary-interface standard for software components

introduced by Microsoft in 1993. It is used to enable inter-process communication and dynamic

object creation in a large range of programming languages. COM is the basis for several other

Microsoft technologies and frameworks including OLE, OLE Automation, ActiveX, COM+,

DCOM, the Windows shell, DirectX, and Windows Runtime.*

Google Gadgets are dynamic Web content that can be embedded on a Web page.

Webmasters can add and customize a gadget to their own business or personal website, a

process called "syndication." Gadgets are developed by Google and third-party developers

using the Google Gadgets API, using basic Web technologies such as XML and JavaScript.*

The HTML <iframe>. The element (or HTML inline frame element) represents a nested

browsing context, effectively embedding another HTML page into the current page. In HTML

4.01, a document may contain a head and a body or a head and a frame-set, but not both a

body and a frame-set. However, an <iframe> can be used within a normal document body. Each

browsing context has its own session history and active document. The browsing context that

contains the embedded content is called the parent browsing context. The top-level browsing

context (which has no parent) is typically the browser window. (Source: Mozilla Developer

Network)

JSON or JavaScript Object Notation, is an open standard format that uses human-readable

text to transmit data objects consisting of attribute–value pairs. It is used primarily to transmit

data between a server and web application as an alternative to XML.*

JavaScript (JS) is an interpreted computer programming language. It was originally

implemented as part of Web browsers so that client-side scripts could interact with the user,

control the browser, communicate asynchronously, and alter the document content that was

displayed. More recently, however, it has become common in both game development and the

creation of desktop applications.*

A mashup, in Web development, is a Web page or Web application that uses and combines

data, presentation, or functionality from two or more sources to create new services. The term

implies easy, fast integration, frequently using open application programming interfaces (API)




64

and data sources to produce enriched results that were not necessarily the original reason for

producing the raw source data.*

The main characteristics of a mashup are combination, visualization, and aggregation. It is

important to make existing data more useful for personal and professional use. To be able to

permanently access the data of other services, mashups are generally client applications or

hosted online.*

The .NET Framework is a software framework developed by Microsoft that runs primarily on

Microsoft Windows. It includes a large library and provides language interoperability (each

language can use code written in other languages) across several programming languages.

Programs written for the .NET Framework execute in a software environment (as contrasted to

hardware environment), known as the Common Language Runtime (CLR), an application virtual

machine that provides services such as security, memory management, and exception

handling. The class library and the CLR together constitute the .NET Framework.*

PHP is a server-side scripting language designed for Web development but also used as a

general-purpose programming language.*

Portlets are pluggable user interface software components that are managed and displayed in

a Web portal. Portlets produce fragments of markup code that are aggregated into a portal.

Typically, following the desktop metaphor, a portal page is displayed as a collection of non-

overlapping portlet windows, where each portlet window displays a portlet. Hence a portlet (or

collection of portlets) resembles a Web-based application that is hosted in a portal. Some

examples of portlet applications are email, weather reports, discussion forums, and news.

Portlet standards are intended to enable software developers to create portlets that can be

plugged into any portal supporting the standards.*

Python is a widely used general-purpose, high-level programming language. Python supports

multiple programming paradigms, including object-oriented, imperative, and functional

programming or procedural styles. It features a dynamic type system and automatic memory

management and has a large and comprehensive standard library.*

A Web service is a method of communication between two electronic devices over the World

Wide Web. A Web service is a software function provided at a network address over the Web or

the cloud, it is a service that is "always on" as in the concept of utility computing. The W3C

defines a "Web service" as: [...] a software system designed to support interoperable machine-

to-machine interaction over a network. It has an interface described in a machine-processable

format (specifically WSDL). Other systems interact with the Web service in a manner prescribed

by its description using SOAP messages, typically conveyed using HTTP with an XML

serialization in conjunction with other Web-related standards. The W3C also states: We can

identify two major classes of Web services: REST-compliant Web services, in which the primary

purpose of the service is to manipulate XML representations of Web resources using a uniform

set of "stateless" operations and arbitrary Web services, in which the service may expose an

arbitrary set of operations.*




65

A software widget is a generic type of software application comprising portable code intended

for one or more different software platforms. The term often implies that either the application,

user interface, or both, are light, meaning relatively simple and easy to use, as exemplified by a

desk accessory or applet, as opposed to a more complete software package such as a

spreadsheet or word processor.*

* Source: Wikipedia except where noted.




66

Other Dresner Advisory Services Research Reports

- Wisdom of Crowds “Flagship” Business Intelligence Market study

- Advanced and Predictive Analytics

- Business Intelligence Competency Center

- Cloud Computing and Business Intelligence

- Collective InsightsTM

- End User Data Preparation

- Enterprise Planning

- Internet of Things and Business Intelligence

- Location Intelligence

- Small and Mid-Sized Enterprise Business Intelligence

- Systems Integrators


http://www.biwisdom.com/

http://www.predictiveanalyticsreport.com/

http://www.biccreport.com/

http://cloudbi.report/



http://enduserdataprep.com/

http://www.enterpriseplanningreport.com/

http://www.iotindustryreport.com/

http://locationintelligencereport.com/

http://www.smebireport.com/

http://www.systemsintegrator.report/



67

Appendix: Embedded Business Intelligence Study Survey Instrument

Name*: _________________________________________________

Company Name: _________________________________________________

Address 1: _________________________________________________

Address 2: _________________________________________________

City: _________________________________________________

State: _________________________________________________

Zip: _________________________________________________

Country: _________________________________________________

Email Address*: _________________________________________________

Phone Number: _________________________________________________

Major Geography

( ) Asia/Pacific

( ) Europe, Middle East and Africa

( ) Latin America

( ) North America

What is your current title?

_________________________________________________




68

What function are you a part of?

( ) Business intelligence competency center

( ) Executive management

( ) Finance

( ) Information Technology (IT)

( ) Manufacturing

( ) Marketing

( ) Project/program management office

( ) Sales

( ) Research and development (R&D)

( ) Other - Write In: _________________________________________________

Please select an industry

( ) Advertising

( ) Aerospace

( ) Agriculture

( ) Apparel and accessories

( ) Automotive

( ) Aviation

( ) Biotechnology

( ) Broadcasting

( ) Business services

( ) Chemical

( ) Construction

( ) Consulting

( ) Consumer products




69

( ) Defense

( ) Distribution & logistics

( ) Education

( ) Energy

( ) Entertainment and leisure

( ) Executive search

( ) Federal government

( ) Financial services

( ) Food, beverage and tobacco

( ) Healthcare

( ) Hospitality

( ) Gaming

( ) Insurance

( ) Legal

( ) Manufacturing

( ) Mining

( ) Motion picture and video

( ) Not for profit

( ) Pharmaceuticals

( ) Publishing

( ) Real estate

( ) Retail and wholesale

( ) Sports

( ) State and local government

( ) Technology

( ) Telecommunications




70

( ) Transportation

( ) Utilities

( ) Other - Write In: _________________________________________________

How many employees does your company employ worldwide?

( ) 1 - 100

( ) 101 - 1000

( ) 1001 - 5000

( ) More than 5000

How important is embedding Business Intelligence (analytics) within other applications?*

( ) Critical

( ) Very important

( ) Important

( ) Somewhat important

( ) Not important

What are your plans for employing embedded business intelligence (analytics)?*

( ) Using today

( ) 12 months

( ) 24 months

( ) No plans




71

What's your objective for embedding business intelligence (analytical) capabilities within other

applications?

Critical

Very important

Important Somewhat important

Not important

Broaden access to internal users

( ) ( ) ( ) ( ) ( )

Provide internal application users with in-context insights and analysis

( ) ( ) ( ) ( ) ( )

Provide complimentary access to external users

( ) ( ) ( ) ( ) ( )

Provide access to external users for a fee

( ) ( ) ( ) ( ) ( )




72

Which techniques are important for embedding Business Intelligence content and functions?

Critical

Very important


Not important

HTML/ iframe ( ) ( ) ( ) ( ) ( )

Web services (RESTful, Soap)

( ) ( ) ( ) ( ) ( )

Google Gadgets ( ) ( ) ( ) ( ) ( )

Desktop widgets ( ) ( ) ( ) ( ) ( )

Portlets ( ) ( ) ( ) ( ) ( )

JavaScript API ( ) ( ) ( ) ( ) ( )

Java API ( ) ( ) ( ) ( ) ( )

.NET API ( ) ( ) ( ) ( ) ( )

COM ( ) ( ) ( ) ( ) ( )

Frameworks ( ) ( ) ( ) ( ) ( )

Flash API ( ) ( ) ( ) ( ) ( )

Office API ( ) ( ) ( ) ( ) ( )

JSON ( ) ( ) ( ) ( ) ( )

Python API ( ) ( ) ( ) ( ) ( )

PHP framework ( ) ( ) ( ) ( ) ( )




73

For Embedded Business Intelligence, which kinds of capabilities are most important?

Critical

Very important


Not important

Browse/select from catalog of objects

( ) ( ) ( ) ( ) ( )

Alerts ( ) ( ) ( ) ( ) ( )

Open/view objects ( ) ( ) ( ) ( ) ( )

Interact with objects (navigate, filter, drill)

( ) ( ) ( ) ( ) ( )


( ) ( ) ( ) ( ) ( )


( ) ( ) ( ) ( ) ( )

Save & publish objects

( ) ( ) ( ) ( ) ( )

Apply analytical algorithms, mining, predictive

( ) ( ) ( ) ( ) ( )

Introduce user-supplied data for "mashups"

( ) ( ) ( ) ( ) ( )

Single sign-on/security integration

( ) ( ) ( ) ( ) ( )

Re-skinning/customizing interface

( ) ( ) ( ) ( ) ( )




74

Which applications are "targets" for embedding Business Intelligence capabilities?

Critical

Very important

Important

Somewhat important

Not important

ERP applications ( ) ( ) ( ) ( ) ( )

Financial management applications

( ) ( ) ( ) ( ) ( )

Salesforce management applications

( ) ( ) ( ) ( ) ( )

Call center management applications

( ) ( ) ( ) ( ) ( )

Workforce management applications

( ) ( ) ( ) ( ) ( )

Marketing automation applications

( ) ( ) ( ) ( ) ( )

Supply chain management/procurement applications

( ) ( ) ( ) ( ) ( )

Personal productivity applications

( ) ( ) ( ) ( ) ( )

Web portals ( ) ( ) ( ) ( ) ( )




75

Who does (will do) the work to embed (integrate) BI functionality in these applications?

Definitely Probably Possibly Unlikely

Central IT department

( ) ( ) ( ) ( )

Departmental IT

( ) ( ) ( ) ( )

Business analyst

( ) ( ) ( ) ( )

Application software vendor

( ) ( ) ( ) ( )

BI Software vendor

( ) ( ) ( ) ( )

Third-party consultant

( ) ( ) ( ) ( )

Customer ( ) ( ) ( ) ( )


embedded business intelligence market studygo.logianalytics.com/rs/793-ecd-841/images/2016 embedded...

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