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Public Business Intelligence LandscapeTechnology and Supplier Landscape Guide for Public Sector LeadersBETA Release, Version 1.0, December 2017

We welcome all feedback

to help us improve on this

inaugural version of this

report. Please send

feedback to

[email protected].

2Censeo Consulting Group

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Business Intelligence Coverage by Public Spend Forum

Governments and public facing organizations around the world generate and capture

enormous amounts of data. Business intelligence platforms are increasingly playing a

role in how governments are aggregating, analyzing, visualizing and using data to

support decisions, drive management improvements and improve outcomes

governments deliver to citizens.

To address this important area, Public Spend Forum is pleased to announce the launch of a

series of reports and products that provide in-depth market intelligence and insight into the

procurement technology landscape.

These include:

• Public Business Intelligence Landscape Report This Document

• Public Business Intelligence Supplier Directory

• Benchmarking Survey and Tool you can use to see how your organization ranks relative to

others

• Supplier Database that you can use to research business intelligence suppliers

Please access the resources and tools highlighted above at publicspendforum.net


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Introduction and Foreword

Public Business Intelligence Market Landscape, December 2017, is

produced by Public Spend Forum (PSF) in collaboration with Censeo

Consulting Group and several partners. It is based on the collective

knowledge of subject matter experts representing decades of experience

in public sector technology as well as significant additional research.

What is Business Intelligence?

Business intelligence technology enables an organization and its end

users to blend and analyze data to produce actionable insights. Core

features include capabilities for:

1. Data Integration (BI infrastructure and administration, metadata

management, user data mashup and modeling, development tools,

embeddable analytics, collaboration, and support for big data)

2. Analysis (interactive visualization, search-based data discovery,

geospatial and location intelligence, embedded advanced analytics,

and online analytical processing)

3. Information Delivery (reporting, dashboards, ad hoc report/query,

enterprise systems integration, and mobile)

At the core of any business intelligence solution is the organization’s data;

raw data in itself cannot provide business value on its own but rather it

must be meaningfully handled to extract the insights that drive an

organization successfully forward. Business intelligence should be seen

as a tool that enables an organization to improve upon its current systems

and operations for data management and insight generation, or as a

means to stand up new processes for the same.

We welcome any and all feedback to help us build on this BETA version of the report. Please send feedback to

[email protected]

Purpose of Report and Intended Audience: The business

intelligence market is complex and fast changing, with over three

hundred suppliers providing solutions that enable different elements

of the data gathering, analytics, and decision making processes that

support the operation of a business or organization.

To help public sector buyers navigate this complexity, PSF is pleased

to launch this report focused specifically on public sector needs and

requirements aimed at helping public sector leadership

professionals answer the following key questions:

1. What is business intelligence and why does it matter to how we

manage our organization?

2. What types of business intelligence exist and how can they help

address the issues facing my organization?

3. What is the supplier landscape?

4. Which business intelligence suppliers are likely to meet my

needs?

Research Approach: In developing this report, Public Spend Forum

conducted extensive primary research and combined it other 3rd

party research from a variety of leading sources to create a view into

the market that would be the most relevant for public sector

customers. We began with market research to identify challenges

unique to the public sector, identified the types of technology

solutions addressing these challenges, segmented the solution

provider landscape, and then identified suppliers that were highly

likely to serve the public sector.


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How this document is structured

This report is structured into an Executive Summary and four sections, each corresponding to a key question faced by public sector senior leadership, program employees and Acquisition professionals:

What is business

intelligence and why does it

matter?

How is the business

intelligence market

segmented?

What is the supplier

landscape?

Which business intelligence

suppliers are likely to meet

my needs?

This section provides:

• An introduction to the key

challenges and

opportunities business

intelligence (BI) platforms

can deliver

• A definition of business

intelligence

• Current trends within the

public sector and key

benefits

• Case studies of

successful BI solution

deployments across the

public sector


• A high level overview of

how BI platforms are

segmented

• Identification of BI

platforms with applicability

to the public sector

• Definitions and guidance

on major capabilities

offered by different BI

platforms / solutions


• Snapshots of each of the

five BI technology market

segments, based on our

analysis of nearly 350

suppliers

• Distribution of suppliers

across the relevant market

segments

• A high-level analysis of

the supplier population by

segment


• A general framework to

help public sector buyers

further research the

market

• A diagnostic survey for

determining the best BI

platform for your

organization’s needs

• Key TCO drivers and

negotiation considerations

for BI solutions

• Brief overview of Public

Spend Forum’s Business

Intelligence Technology

Online supplier Database

Executive Summary


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Executive Summary

Key Takeaways

Within the public sector, business intelligence solutions comprise sales of hundreds of millions of dollars a year

Business intelligence is becoming more prominent within the public sector space as a means to boost an organization’s capability and efficiency

Successfully implementing business intelligence solutions can prove difficult, but when executed correctly they can lead to significant positive impacts by solving issues found in the main areas of end-user decision making, business strategy, and an organization’s foundational data infrastructure

Numerous case studies exist across government where business intelligence has proven to deliver significant tangible benefits

The business intelligence supplier landscape is quite complex with various solution providers offering multiple platforms that specialize in addressing the different needs of an organization

For simplicity and usefulness to the public sector, we have categorized all suppliers into five broad market segments (Traditional BI Platforms, Modern BI Platforms, Organizational Performance Management Suites, Packaged Analytic Applications, and Advanced Analytics Platforms), with specific further analyses conducted on suppliers in the Traditional and Modern BI Platforms segments

Business intelligence solutions represent a significant opportunity for public sector

organizations to enable the success of their goals and missions, drive efficiencies, and improve

the value being delivered to customers, stakeholders and citizens

Within these two segments, we have further analyzed offerings provided by 350 suppliers to determine the most relevant ones for public sector needs and categorized these public sector suppliers based on their platforms’ core capabilities

The first step for any public sector organizations considering investing in BI technology should be to clearly identify the “problem” to be solved and understand how business intelligence solutions can help, followed by market research, benchmarking against other public sector peers, and in-depth engagement with relevant suppliers

To help in the research and planning phases of selecting and implementing a business intelligence solution, we have created supplier profiles as well as a diagnostic that can serve as a helpful starting point for determining the best group of suppliers for your organization’s needs

As with any major technology investment, public sector buyers of business intelligence solutions should carefully analyze the total cost of ownership when moving forward in the business intelligence procurement process


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Business intelligence platforms are taking on more prominence across governments as a means to boost an organization’s agility, lower costs, and achieve greater outcomes for the public good

Increase Enterprise Agility

• Faster reporting, analysis, or planning

• Improve time-sensitive decisions

• Ensure data quality and structure

Reduce Operational Costs

• Accurate enterprise-wide reporting

• Better inform business decisions

• Increase operational efficiency

Improve Mission Success

• Improve customer satisfaction /

outcomes

• Enable data driven tracking of KPIs

• Boost employee satisfaction

Business intelligence utilization is seen as a

critical priority across government…

…That when implemented can drive

benefits across an organization

What is business intelligence and why

does it matter?

How is the business intelligence

market segmented?

What is the supplier landscape? Which business intelligence suppliers

are likely to meet my needs?

"The ability to see a pattern of multiple trades over a matter

of months or years gives us confidence to invest resources

into investigations“

Joseph Sansone, Co-Chief (Securities and Exchange Commission)

“The days of communicating with static spreadsheets or

printed statements in reports is over…the next phase is

where we are dealing with large databases that might contain

the answer, and the ability to drill down and sort, sift, analyze

and manipulate data that exposes the answer"

Doug Glenn, Deputy CFO (Dept. of Interior)

“When [our data-driven program] works, people develop an

expectation that we can get stuff done. That reputation

contributes to a view of good government.”

Mark Russell, Florida’s Department of Juvenile Justice

“The big lofty goal is I want our organization and our decision

makers to be able to have the tools they need to make better

decisions and oftentimes a big piece of that is good data and

data visualized in a way that makes sense.”

Rebecca Woodbury, City of San Rafael, California

Business

intelligence

platforms are

gaining traction in

the public sector as

useful tools that

governments can

leverage to achieve

better mission

outcomes.

Across the public

sector, there is

recognition that

embracing the data

driven practices

found in the

commercial space

can transform

governments into

agile, efficient, and

impactful

organizations that

can respond quickly

and effectively to a

dynamic and

changing world.

However, the public

sector still lags the

private sector to

some extent in fully

leveraging these

technologies.


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Business intelligence can serve as a solution for various issues your organization may be facing—these generally fall in three main impact areas that have a hierarchical relationship


does it matter?


market segmented?



Symptoms that your organization may benefit from

implementing business intelligence solutions:

End-User

Decisions

- Complicated, non user-friendly systems

- User needs for data visualization

- Need for better insight to support timely decisions

- Requirement to address a change in organizational design

- Need to improve flexibility and speed of user analyses

Business Strategy

- Data is not analyzed for meaningful insights

- Data does not inform organization’s strategic goals

- Lack of visibility into redundancy/waste caused by

siloed operations

- Need for accurate forecasting methods

- Requirement for live-time tracking of data points

Foundational Data

Infrastructure

- Fragmented (but related) systems

- Differing truths found across reports

- Uncertainty on dataset accuracy

- Lack of visibility into data inputs/modeling

(e.g., historical data not included or

available when drilling down into reports)

Impact Area

There are a variety

of reasons that

drive executives

and leadership of

organizations to

consider business

intelligence

solutions. Typically

these reasons fall

under three main

impact areas (End-

User Decisions,

Business Strategy,

and Foundational

Data Infrastructure).

It is important to

note that using a BI

platform to

successfully

address a specific

symptom relies

upon the areas

beneath it operating

effectively (e.g., it

would be incredibly

difficult to provide

end users with data-

driven insights to

inform better

decision-making if

the data collected at

the foundational

level is inaccurate)


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Unlocking the value of business intelligence platforms can prove difficult and requires proper planning and research to ensure implementation success

Good data management is the foundation of

successful BI; it will be impossible for any BI tool to

create real value without reliable data1

The sheer amount of available BI platforms in the

market can be difficult to navigate—choosing the

correct platform that aligns with your organization’s

business needs and KPIs will maximize output2

“Organizations deploy BI platforms that offer the

wrong set of capabilities to business users, or are

used as analytics silos”3

“Over half of all BI projects fail to meet

the organization’s needs”

InfoTech1

“The most commonly cited reason for

failed BI projects is a lack of involvement

from the business, either at the executive

or SME level”

Forrester2

“Modern BI and analytics platform

implementations will fail to meet user

expectations due to poor design, lack of

governance or improper integration within

the overall BI landscape.”

Gartner3

Implementing business intelligence solutions

can be complicated…

…And when poorly executed can

lead to waste


does it matter?


market segmented?



1. Select and Implement a Business Intelligence and Analytics Solution | InfoTech 2017

2. Maximize Your Chances of Business Intelligence Success in a Customer-Centric World | Forrester 2016

3. How to Implement a Modern Business Intelligence and Analytics Platform | Gartner 2016

Implementing a

business

intelligence platform

from a technical

standpoint can be

done with relative

ease; however,

implementing the

correct solution in

alignment with the

needs of your

organization is

much harder.

The major

considerations for

implementing BI

projects revolve

around properly

managing data,

researching

suppliers to ensure

selected platforms

are best suited for

the problems they

aim to solve, and

having an

organizational

structure that

enables enterprise

wide sharing of

analytical insights.


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Successful implementation of business intelligence can drive significant benefits

Implementation examples… …with significant benefits

US Army’s Armament Research Development and

Engineering Center1 implemented a central business

intelligence system for managing over 3,500 user

requests for standard reports on financial planning

Cost benefits of over $230M across four years

realized through informed financial and inventory

management

50% decrease in time for report production

Integration of three disparate data sources

Metro Transit St. Louis Smart Bus program2, cost

savings and asset performance improvement driven

by integrating real live data with intelligent and

predictive data reporting

Increase in bus lifespan by 30%

Decrease in costs of fuel and operation &

maintenance by 50%

Real-time insight into asset performance

India’s Ministry of Tourism3 utilized data aggregation

and transformation methods to track KPI related

information in a more timely and accurate fashion

Reduction in report timing from an original six month

lag time to just a few weeks

Increase in data quality and accuracy via

standardized cleaning methodologies

FEMA’s U.S. Fire Administration4 partnered with the

National Fire Incident Reporting system to develop an

analytical prototype to study 225 million fire incidents

Identification of trends and patterns for incident

types, equipment failures, and casualties delivered

insight into improving responder training

1. Applications of Business Intelligence in the Federal Government | IBM 2010

2. Metro Transit of St. Louis | Hortonworks 2017

3. Incredible India Tourist Traffic | Visvero 2014

4. How Federal Agencies Can Simplify Big Data Complexities | FedTech 2016


does it matter?


market segmented?



The Consumer Financial Protection Bureau4 used

text analytics to compile digital consumer interactions

and draw insights

Improved consumer protections through reducing

the weight of medical debt in credit score algorithms

Though there are a

variety of caveats

and considerations

related to

implementing BI

solutions, there are

numerous examples

of it being done to

great success within

the public space.

The challenges

facing the public

sector oftentimes

can be similar to the

challenges facing

the private sector

(e.g., driving cost

savings), but the

public sector is

uniquely positioned

to also capture

intangible benefits

from business

intelligence (e.g.,

the improvement of

citizen life)

https://www-01.ibm.com/events/wwe/grp/grp004.nsf/vlookuppdfs/3. lee chichester applications of bi 9.16/$file/3. lee chichester applications of bi 9.16.pdf

https://2xbbhjxc6wk3v21p62t8n4d4-wpengine.netdna-ssl.com/wp-content/uploads/2017/08/Metro_Transit_Case_Study_062017_v2.pdf

http://www.visvero.com/wp-content/uploads/2014/06/Visvero-MOT-FINAL.pdf

https://fedtechmagazine.com/article/2016/12/how-federal-agencies-can-simplify-big-data-complexities


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Case Study #1: US Army Armament Research, Development and Engineering Center

Background

• The United States Army’s Armament

Research and Engineering Center

(ARDEC) is the Army’s principal

researcher, developer, and sustainer

of current and future armament and

munitions systems

• The organization is responsible for

the development, production, field

support, and demilitarization of

munitions, weapons, fire-control

systems, and related equipment

used by United States soldiers

Overview Impact

Cost benefits of over $230M across four years driven by:

o Upgrading existing systems to one business intelligence platform to include

user-driven reporting, self-service querying, and browser-based interfaces

o Integrating the solution with SAP to create a single data repository

o Successful adoption by a majority of the organization’s financial staff led to

efficient onboarding and improved productivity

Average time for producing reports decreased by 50% through:

o Propagating best practices throughout the organization using the

organization’s own financial BI staff

o Standardizing report creation and communicating guidance on how best to

use reports when released

Emphasize the importance of prioritizing user adoption for a new BI

platform in an environment with already existing data systems

Project success was dependent upon the constant communication

of team members with end users to build a solution that was truly

tailored to their needs and desires; there was significant utilization of

customer interviews, surveys, beta tests, and focus groups

Utilize iterative testing to ensure business needs are met. When a

deliverable is completed, solicit live feedback from future end-users to

increase the effectiveness of the platform and the likelihood of

successful system adoption

Implementation Lessons Learned


does it matter?


market segmented?



Sources: Applications of Business Intelligence in the Federal Government | IBM 2010; ROI Case Study | IBM 2008

An example of

successful BI

implementation in

the US federal

space—the US

Army’s Armament

Research,

Development, and

Engineering Center

engaged IBM to

provide a BI

solution that would

enable user self-

reporting and

integrate multiple

data sources across

the organization to

construct one

version of the truth.

The success of the

project led to

realized cost

savings driven by a

reduction in

redundant

purchases along the

organization’s

supply chain.

https://www-01.ibm.com/events/wwe/grp/grp004.nsf/vlookuppdfs/3. lee chichester applications of bi 9.16/$file/3. lee chichester applications of bi 9.16.pdf

ftp://public.dhe.ibm.com/software/data/sw-library/cognos/pdfs/analystreports/ar_roi_case_study_ibm_cognos_us_army.pdf


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Case Study #2: Metro Transit of St. Louis Smart Bus Program

Background

• Metro Transit of St. Louis is

responsible for the operation of the

St. Louis metropolitan region’s

public transportation system

• Their mission is “meeting the

region’s transit needs by providing

safe, reliable, accessible, customer-

focused service in a fiscally

responsible manner”

Overview Impact

Increase in metro bus vehicle lifespan by 30%:

o Integrating onboard sensor information with live-time analytics, the program

was able to compress field data and transfer it to a central database—

where algorithms could forecast mechanical failures and recommend

servicing timelines for the fleet

o The implemented solution was able to extend the lifespan of busses by

enabling Metro to run highly granular reports across large datasets that they

previously could not analyze efficiently

Decrease in fuel and operation & maintenance (O&M) costs by 50%:

o Onboard sensor data provided by operating busses allowed for modeling

and optimizing of bus routes and timelines—leading to a decrease in

operating costs without a drop in service

Initial setup requirements do not always have to be costly, and if executed

correctly can lead to significant ROI

There was significant cost to retrofitting older buses; whereas

newly purchased buses arrived with hardware onboard capable of

providing the robust data that was needed to make accurate forecasts.

There were initial concerns over the cost of these installations, but the

benefits quickly proved to outweigh the costs. Data from the sensors

informed actions that led to a 50% drop in operating costs and in the

long run extended the lifespan of the bus fleet.

Aversion to upfront costs can hinder the realization of substantial

benefits—it is certainly wise to be cognizant of set-up costs but

constructing an accurate business case for BI solutions can help in

assuring the success of the project’s outcomes



does it matter?


market segmented?



Sources: Metro Transit of St. Louis | Hortonworks 2017

Metro St. Louis

An example of

successful BI

implementation in

the US state and

local space—the

Metro Transit of St.

Louis implemented

a BI solution to

accompany the roll

out of its Smart Bus

Program. The

platform enabled

the live

transmission of data

from the fleet to a

central repository

that informed a

multitude of cost

saving insights.

The success of the

project led to a

substantial increase

in the lifespan of

each bus and a

reduction in the

operational cost of

each bus on a per

mile driven basis.

https://2xbbhjxc6wk3v21p62t8n4d4-wpengine.netdna-ssl.com/wp-content/uploads/2017/08/Metro_Transit_Case_Study_062017_v2.pdf


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Case Study #3: Incredible India – Tracking Tourist Traffic

Background

• The Ministry of Tourism is an

agency with the mission to create

policies and run campaigns to

promote tourism in India

• Incredible India is a campaign

seeking to spread awareness in the

international community about

India’s culture and tourism

opportunities

Overview Impact

Increase in data quality and accuracy through standardized aggregation:

o The Ministry of Tourism was initially collecting data from various Indian

ports for inbound and outbound tourist traffic; this data was collected in a

highly unstructured format oftentimes with inaccuracies

o The implemented BI solution used data aggregation and transformation to

address existing data issues as well as ensure a higher quality standard

going forward

Significant reduction in time to turn collected data into meaningful reports:

o Due to data quality issues facing the ministry, significant labor hours were

required to manually clean the data and analyze it for insight

o Visualizations and multivariate analysis allowed for reports that prior

required six months for construction to be prepared in just a few weeks

Solutions should integrate historical data and rectify inefficient processes

to create a future analytical environment that is standardized and effective

In scenarios with discrepancies in historical data, the selected solution

should be able to correct that data and weave it in to a “best practice”

future environment

Empowering end users to analyze data can lead to substantial efficiencies

Embracing the scalability business intelligence offers can allow for

organizational transformations that start at the end user level; providing

employees with data discovery capabilities can enhance mission

success



does it matter?


market segmented?



Sources: Incredible India Tourist Traffic | Visvero 2014

An example of

successful BI

implementation in

the international

public sector—the

Ministry of

Tourism’s

Government of

India implemented a

BI solution to track

the progress of the

Incredible India!

Campaign in its

goal of driving more

tourist traffic.

The project led to a

dramatic reduction

in the amount of

time required from

the point of data

collection to final

report; the solution

also automated

data cleaning and

provided

standardized

structure to the

database.

http://www.visvero.com/wp-content/uploads/2014/06/Visvero-MOT-FINAL.pdf


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Overview of Supplier Research Methodology

Interviews with public

sector and industry

leaders

Analysis of leading 3rd

party market research

Review of public

business intelligence

case studies

Segmentation of

business intelligence

market into 5 broad

segments (and 10 core

capabilities) Deep dive into all

suppliers with

potential public-

sector focusIdentification of 350

suppliers across

above segments

Public Sector

Business

Intelligence

Landscape,

October 2017

Research Market Analysis Supplier Analysis Conclusions

1. Which of the five broad market segments does the supplier fall into (based on

the supplier’s description of its capabilities and products)? Note that a supplier

can have product offerings across multiple segments

2. How focused is the supplier on the public sector (e.g., demonstrates focus in

offerings and communications materials, registered to sell to the government)?

3. What is the supplier’s delivery model (e.g., perpetual license, Software as a

Service (SaaS), website), based on descriptions in their promotional materials?


does it matter?


market segmented?



Suppliers should contact

PSF’s research team at

[email protected]

with any

questions/comments

To develop insight

into the overall

supplier landscape

for business

intelligence

technology, we

combined extensive

primary research

with other 3rd party

research from a

variety of leading

sources to create

the most

comprehensive

view ever

assembled, with a

focus on public

sector market.

We segmented the

market, identified

350+ suppliers

across these

segments, and then

focused on all

suppliers with

potential public

sector relevance.

mailto:[email protected]


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The BI market is distributed across five segments, though software platforms can have offerings that fall in multiple categories

~350 Suppliers


does it matter?


market segmented?



Market Segments Descriptions

Traditional BI Platforms• Enterprise-level software facilitating decision-making through

data integration, analysis, reporting and visualization

Modern BI Platforms• Self-service software facilitating decision-making through data

integration, analysis, reporting and visualization

Packaged Analytic

Applications

• Analytics intelligence applications used to provide support

for managing performance within specific business processes or

industries (HR, IT, supply chain, etc.)

Advanced Analytics

Platforms

• Analytic platforms for data scientists to perform modeling,

including capabilities such as statistical significance and

regression modeling

Sources: "Market Definitions and Methodology: Software," Gartner, 2015, "Market Share Analysis: Business Intelligence and Analytics Software, 2015," Gartner, 2016

Across the

multitude of nearly

350 suppliers

offering a business

intelligence product,

the market can be

categorized into five

segments.

Though the

segments are

distinct in their

definitions, there is

crossover between

segments for

specific suppliers

because they offer

multiple solutions

that fall under

multiple segments.

To simplify the

usage of this

research for the

public sector

audience, our in-

depth focus is on

the Traditional and

Modern BI

Platforms

segments.

Business Performance

Management Suites

• Software for managing enterprise business performance by

translating information into operational plans and aggregated

results


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The 350 suppliers examined were segmented across these five segments, with suppliers potentially offering platforms applicable to more than one segment


does it matter?


market segmented?



Distribution of Business Intelligence Suppliers Across Market Segments(NOTE: A supplier might provide products / solutions that are applicable to multiple segments)

• Majority of suppliers examined

have offerings within the Modern

BI Platform segment – these

platforms offer decentralized data

discovery with an emphasis on

self-service

• More suppliers are leaning away

from platforms that require IT

support or highly technical skills

from the end-user

• A fair amount of suppliers

represent the Packaged Analytic

Applications segment – their

platforms provide for specialized,

out-of-the-box capabilities focused

on a specific vertical or issue

• BPM Suites and Advanced

Analytics are expectedly a lesser

portion of the segment as

platforms are employed in very

specific use cases

Findings

The identified 350

suppliers and their

offerings were

analyzed to place

them within one or

more of the five

segments.

A supplier may fall

under multiple

segments when

their offerings have

capabilities that are

widely applicable

(i.e., a supplier may

offer a Traditional BI

package that is also

Modern).

The majority of

analyzed suppliers

expectedly fall

under the Modern

BI Platform

segment as industry

seeks to provide

solutions that satisfy

greater consumer

needs for self-

service data

discovery and ad

hoc reporting.

1932

107

293

120

Traditional Modern Packaged

Analytics

Business

PM Suites

Advanced

Analytics

n = 345


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Each of these suppliers were analyzed to determine their specific specializations across ten capabilities

Categories Capability DefinitionExample

Use Cases

SaaSSolutions offered as a service with cloud

capabilities• Workforce is

mobile/remote

Perpetual LicenseSolutions offered as a license; software

installed on premise• High levels of data

sensitivity/security

Data WarehousingSoftware houses enterprise-wide data that is

centrally analyzed and delivered to end users• IT dept. manages

analysis of data

Data DiscoverySoftware provides self-service, ad-hoc

analysis capabilities to end users• End users manage

their own analyses

Hadoop SupportCapability to connect software to Hadoop

storage and big data processing frameworks• Processing a large

volume of sensor data

Predictive AnalyticsSpecialization in forecasting use cases via

algorithms and automated modeling• Predicting future

budgetary needs

Streaming AnalyticsProvides for real-time views of data and

relevant analytics/visualizations• Live feeds of helpdesk

tickets

Text AnalyticsEnables efficient analysis of string based

data• Analysis of web pages

or social media

Mapping Functionality Analyzes/visualizes geographic-linked data• Visualizations of

seismic activity data

Embedded BIAllows for native embedding and integration

with existing external applications• Improving existing

reporting systems

Deployment

Usage

Model

Analytics

Custom

Functions

A key challenge

confronting public

sector buyers of

business

intelligence

technology is the

multiplicity of

frameworks and

terms used by the

industry to describe

solutions.

To simplify our

analysis, we started

with the prior

segmentation

framework, honed

in on Traditional

and Modern BI

platforms, and then

analyzed each

supplier to drill

down to the level of

core capabilities

(e.g., SaaS,

Perpetual License,

etc.)


does it matter?


market segmented?




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Per the identified ten capabilities, the 350 researched suppliers displayed the following characteristics within the “deployment” and “usage model” categories

# of Suppliers by Category (345 unique vendors in total)(NOTE: A supplier might provide products / solutions that are applicable to multiple attributes (e.g., supplier X software can be deployed via cloud or

on premise—therefore totals may exceed 345 in some qualifiers)

Deployment (count of suppliers)

Usage Model (count of suppliers)

92

32

221

Perpetual OnlySaaS Only Both

158152

35

Data Discovery

Only

Data

Warehousing

Only

Both

• The bulk of vendors offer solutions that have, at the

very least, SaaS capable deployment models

• This is in line with larger IT trends of offering

cloud capabilities as well as the increase in

popularity of Modern BI platforms

Findings

• The overwhelming majority of vendors analyzed offer

solutions that are built with focus on data discovery and

enabling end-users to engage in self reporting

• While both types of usage models are useful

given the specific circumstance, Modern BI

platforms have a strong focus on data discovery

Findings

BI software

historically was

deployed mainly

through perpetual

licensing; with the

recent advent of

cloud enabled

technologies, SaaS

deployed solutions

have become the

norm as they offer

greater flexibility ,

scalability, and

agility.

BI platforms

historically were

solely focused on

“data warehousing”

usage models, i.e.,

data was analyzed

by a central

department and

then distributed to

end users, but more

platforms are

becoming focused

on allowing users to

discover data

themselves.


does it matter?


market segmented?




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Per the identified ten capabilities, the 350 researched suppliers displayed the following characteristics within the “analytics” and “custom functions” categories

# of Suppliers by Category (345 unique vendors in total)(NOTE: A supplier might provide products / solutions that are applicable to multiple attributes (e.g., supplier X software can be deployed via cloud or

on premise—therefore totals may exceed 345 in some qualifiers)

Analytics (count of suppliers)

55

193

149

86

Predictive

Analytics

Text

Analytics

Hadoop

Support

Streaming

Analytics

• Streaming analytics support is a rather common

function across all analyzed platforms, while the other

specialized analytics capabilities (predictive, text, etc.)

appear to be more niche

• The specific use cases of these capabilities

indicates the importance of choosing the correct

solution that aligns with your org’s needs

• Mapping functionality and embedded BI capabilities

can be found across a sizable number of suppliers

• Almost a third of the analyzed vendor sample

have solutions capable of both custom functions

Findings

FindingsCustom Functions (count of suppliers)

1119698

40

BothEmbedded

BI

NoneMapping

Functionality

All BI software in

general has

capabilities for

multivariate

analyses, but more

platforms are

becoming advanced

and offer analytic

packages that can

automatically derive

insights from large,

sometimes

unstructured,

datasets.

Modern BI platforms

also have custom

function

capabilities—for

public sector usage

we have identified

mapping

functionalities (i.e.,

geographic

representations of

data) and

embedded BI as top

functions to

consider when

identifying business

intelligence

solutions for your

organization.


does it matter?


market segmented?




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Traditional BI Platforms: 121 software suppliers categorized

Traditional BI Platforms are typically used to facilitate data analysis at the enterprise-levelAdditional information on segment:

• Traditional platforms are developed for enterprise-wide deployment but can be used for siloed environments

• These platforms generally require an organization’s IT department to implement as well as maintain

• Traditional platforms are preferred when there is a higher need for data governance—data analysis, modeling, and

visualization are centrally managed and then delivered to enterprise end users

• There is substantial upfront workload associated with implementing these platforms, but when successfully

deployed they can instantly begin delivering value by providing one version of the truth across an organization

Traditional BI

Platforms generally

are preferred in

environments where

it is advantageous

for data modeling

and data analysis to

be centrally

managed, usually

by an organization’s

IT department.

Traditional

platforms are best

suited for

applications where

decision making

and analytical

insights are best

delivered

enterprise-wide in

an environment

needing higher

levels of data

governance. This

allows for greater

control over data

and how it is

interpreted for

organizational

needs.

1

37

13

3119

73

55

30

80

30

11

45

12

64

Streaming

Analytics

Predictive

Analytics

BothPerpetual Both Text

Analytics

Embedded

BI

Mapping

Functionality

BothHadoop

Support

Data

Discovery

SaaS Data

Warehousing

Traditional BI Platforms Suppliers by Capabilities(NOTE: A supplier might provide products / solutions that are applicable to multiple segments across multiple capabilities)

Deployment Usage Model Analytics Custom Functions


does it matter?


market segmented?

What is the supplier landscape? Which business intelligence vendors



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Traditional BI Platforms: 121 software suppliers categorized1


does it matter?


market segmented?



121 supplier profiles in directory

Examples of Business Intelligence

Suppliers in Segment

To access our business

intelligence supplier directory,

please contact us at

[email protected]


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Modern BI Platforms: 293 software suppliers categorized

Modern BI Platforms are typically used to facilitate data analysis at the end-user levelAdditional information on segment:

• Modern platforms generally aim to deliver analytical capabilities to all end users—allowing for self-guided data

discovery that supports organizational collaboration and the timely making of business decisions

• Modern platforms have grown in popularity as technology has scaled to allow for organizations to easily implement

BI solutions without substantial lifts required by a central IT department

• These platforms are best employed in scenarios where there is lesser concern for data governance; data modeling,

data analyses, and visualization occur at the end user level on a much more agile timeline

• Users should be trained and equipped with the analytical skills necessary to unlock the full value of these platforms

Modern BI

Platforms have

increased in market

prevalence as more

customers prefer

agile BI applications

that allow for self-

service capabilities.

Compared to

traditional platforms,

analysis on these

modern platforms

occur at a

decentralized level,

thus requiring less

deployment and

maintenance

workload by an

organization’s IT

department.

Drawbacks include

lesser data

governance and

analytical oversight,

but these platforms

come at the benefit

of enabling a more

nimble and agile

workforce with full

data capabilities at

their fingertips.

2

Modern BI Platforms Suppliers by Capabilities(NOTE: A supplier might provide products / solutions that are applicable to multiple segments across multiple capabilities)

86

35

81

43

165

125

82

143127

23

82

24

187

Streaming

Analytics

Predictive

Analytics


Analytics

Embedded

BI

Mapping

Functionality

BothHadoop

Support

Data

Discovery

SaaS Data

Warehousing



does it matter?


market segmented?




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Modern BI Platforms: 293 software suppliers categorized2


does it matter?


market segmented?









[email protected]


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Packaged Analytic Applications: 106 software suppliers categorized

Packaged Analytics provide specialization for specific industries or business processesAdditional information on segment:

• Packaged Analytic Applications are designed to provide in-depth, specialized analytical capabilities for managing

and optimizing specific industries or business processes (e.g., BI platforms for out-of-the-box tracking of supply

chain processes, managing HR processes, tracking the performance and lifecycle of IT assets, etc.)

• These applications are built to provide instant value for specific use cases and often enjoy the benefits of agile

deployments and lesser maintenance requirements

• Oftentimes suppliers of these platforms also offer business vertical/process knowledge with access to best-practice

guidance, data templates, tailored user guides, and robust sample visualization layouts

Packaged Analytic

Applications are

business

intelligence

platforms with

specific tailoring for

usage within certain

industries or for

managing certain

processes. These

platforms offer out-

of-the-box solutions

that can be quickly

deployed across an

organization.

These packaged

platforms are niche

to specific use

cases, thus

organizations using

them to correctly

address these

specific areas often

enjoy quicker

benefits realization

and streamlined

timelines for

optimizing business.

3

Packaged Analytic Applications Suppliers by Capabilities(NOTE: A supplier might provide products / solutions that are applicable to multiple segments across multiple capabilities)

2013

32

14

64

50

15

37

52

1720

4

82

Streaming

Analytics

Predictive

Analytics


Analytics

Embedded

BI

Mapping

Functionality

BothHadoop

Support

Data

Discovery

SaaS Data

Warehousing



does it matter?


market segmented?




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Packaged Analytic Applications: 106 software suppliers categorized3


does it matter?


market segmented?









[email protected]


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Business Performance Mgmt. Suites: 32 software suppliers categorized

BPMs track organizational performance by helping transform data into operational plansAdditional information on segment:

• Business performance management suites are platforms that provide a holistic overview of an organization’s

performance; these platforms enable management to track enterprise-wide data, measure this information against

KPIs or goals, and formulate actionable plans to course correct and continually improve operations

• Platforms generally measure financial information (e.g., financial reporting, cost reporting, forecasting, transactional

information, etc.) and/or strategic information (e.g., corporate planning, market modeling, profitability reporting,

customer relationship information, employee performance monitoring, etc.)

Business

Performance

Management

Suites (BPMs)

describe a host of

software that allow

for a holistic

tracking of

enterprise-wide

metrics, processes,

and outcomes.

These suites unify

multiple data

sources to create

one expansive view

of an organization’s

performance

against specified

KPIs.

These applications’

core capabilities

should allow for

management to

more easily

aggregate and then

transform all of an

organization’s data

into actionable

plans for process

and results

improvement.

4

Business Performance Management Suites Suppliers by Capabilities(NOTE: A supplier might provide products / solutions that are applicable to multiple segments across multiple capabilities)

86

86

1616

6

1513

4

12

3

17

Streaming

Analytics

Predictive

Analytics


Analytics

Embedded

BI

Mapping

Functionality

BothHadoop

Support

Data

Discovery

SaaS Data

Warehousing



does it matter?


market segmented?




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Business Performance Mgmt. Suites: 32 software suppliers categorized4


does it matter?


market segmented?









[email protected]


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Advanced Analytics Platforms: 19 software suppliers categorized

Advanced Analytics Platforms are used for advanced data modeling and statistical analysisAdditional information on segment:

• Advanced Analytics platforms describe software employed by data scientists to perform advanced data

importations, data modeling, and model deployment

• These platforms can also perform advanced statistical analyses (e.g., significance testing, regression analyses,

multifactor analyses/modeling, etc.)

• These platforms can include attributes of machine-learning or artificial intelligence, and can even allow for use

cases where the end-user is able to manipulate and test different algorithmic predictive models for deployment

Advanced

Analytics

Platforms are used

by data scientists to

support the robust

handling of

datasets, these

processes include

the importing,

modeling, and

deployment of data.

Modeling

capabilities can

include forecasting,

clustering, affinity

analysis, and

simulation.

Platforms with

machine learning

and artificial

intelligence

capabilities also fall

under this segment.

5

Advanced Analytics Platforms Suppliers by Capabilities(NOTE: A supplier might provide products / solutions that are applicable to multiple segments across multiple capabilities)

10

5

23

10

1413

11

8810

1

Streaming

Analytics

Predictive

Analytics


Analytics

Embedded

BI

Mapping

Functionality

BothHadoop

Support

Data

Discovery

SaaS Data

Warehousing



does it matter?


market segmented?




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Advanced Analytics Platforms: 19 software suppliers categorized5


does it matter?


market segmented?









[email protected]


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Sample supplier snapshot (numbers illustrative) – Key attributes captured across 350 suppliers

To assist public sector buyers in their market research, we have built an online database of business intelligence suppliers, available to government users free of charge

Public Spend

Forum has

developed the

Business

Intelligence Online

Supplier Database

to help public sector

technology teams

and leaders quickly

search for and

compare key

capabilities and

differentiators,

products and

services, and public

sector market

penetration trends

across hundreds of

providers.

Additionally, we are

working with

suppliers to

populate more

information on

capabilities that can

be used as part of

market research.

Suppliers - please contact us at [email protected] to get a copy of your profile


does it matter?


market segmented?



mailto:[email protected]


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does it matter?


market segmented?



We have provided a general approach for identifying relevant business intelligence solutions and suppliers for a given need

Identify data related pain points

faced by your organization’s

program/business stakeholders

Conduct a rapid diagnostic of BI

tools currently being used in your

organization and their shortcomings

Shortlist issues that could

potentially be addressed by

introducing BI technology

Connect with peer organizations that

have experience with BI

implementation and understand how

they have applied available solutions

Gather key lessons learned, including

supplier negotiation approaches and

implementation roadblocks

Construct strategies for rapid

prototyping and piloting multiple

solutions

Evaluate how business

intelligence technology can

address these pain points,

through market research and a

review of related literature

Identify specific BI market

segment(s) and solutions with

the potential to solve the

problem(s), and anticipated

benefit drivers (e.g., improved

transparency into business

processes, tracking strategic

metrics)

Develop a simple statement of objectives

that includes specific pain points,,

soliciting input from a diverse array of

suppliers within the relevant market

segment(s)

Adopt the Japanese lean philosophy

(Genchi Genbutsu) and see the solutions

first hand to learn more and generate

ideas for how BI might be of value

Develop a prototyping approach that

allows you to “test” multiple solutions

before moving towards singular solution

IdentifySolution

DefineProblem

ResearchMarket

BenchmarkPeers

In the coming

weeks, Public

Spend Forum will

be releasing

multiple tools to help

facilitate business

intelligence

technology selection

including RFQ,

Evaluation and

Performance Tools.

Given the overall

complexity of the BI

technology market,

and the fact that

many government

systems are

uniquely designed

to integrate with and

address

government

processes (and

have not been

integrated with

commercial

systems), public

sector leaders often

face the “build vs.

buy” conundrum

when it comes to

technology

solutions.

However, before

building a custom

system,

governments should

objectively evaluate

how commercial BI

technology

solutions can

support their goals.


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• Public Spend Forum is working with partners and government agencies, including IT and data

science leaders, to develop guidance and tools that can be used to rapidly acquire and deploy

business intelligence technology

• The overall governing philosophy is to:

• Leverage lessons learned by others

• Focus on the problem and the end-state instead of “requirements” – you don’t need detailed

requirements

• Prioritize critical needs and build that into your evaluation criteria – not everything is equally

important

• Integrate innovative approaches that allow for rapid implementation of business intelligence in

limited time

• Ensure an approach that emphasizes prototypes and pilots before full deployment of

solutions…avoid “monolithic” one size fits all approaches

In the coming weeks, Public Spend Forum will be issuing detailed guidance and tools to government agencies on how to rapidly acquire and deploy business intelligence solutions


does it matter?


market segmented?



Any government agency or supplier that would like to provide any input is

encouraged to contact us at [email protected].


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THIS DOCUMENT IS THE PROPERTY OF PUBLIC SPEND FORUM, LLC.

AND MAY NOT BE DISTRIBUTED OR POSTED WITHOUT THE EXPRESS WRITTEN PERMISSION OF PUBLIC SPEND FORUM.

The following acts are strictly prohibited:

Reproduction for Sale

Posting on a Web Site Without Permission

Transmittal via the Internet Outside the authorized Company

Copyright © 2017, Public Spend Forum, LLC. Washington, DC

This document is protected by United States copyright laws and international treaties. Unless otherwise noted, the entire contents of this publication are copyright by Public Spend Forum, LLC., and may not be reproduced, stored in another retrieval system, posted on a Web site, or transmitted in any form or by any means without prior written consent of the publisher.

The document may be distributed as long as this document is appropriately cited. Unauthorized reproduction or distribution of this publication, or any portion of it, may result in penalties.

The trademarks and registered trademarks of the corporations mentioned in this publication are the property of their respective holders. All information contained in this report is current as of publication date.

Public Spend Forum, LLC♦ 1776 I Street, NW 10th Floor ♦ Washington, DC 20006

Website www.publicspendforum.net♦ Phone (202) 591-3361 ♦ Email [email protected]


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