Business Intelligence to Improve the Quality of
Local Government Services
Case-study in a Local Government Town Hall
Rui Teixeira
1
, Fernando Afonso
3
, Bruno Oliveira
3
, Filipe Portela
2
and
Manuel Filipe Santos
2
1
Departament of Information Systems, University of Minho, Campus Azurém, Guimarães, Portugal
2
Algoritmi Research Centre, University of Minho, Campus Azurém, Guimarães, Portugal
3
Division of Information Systems, Guimarães Town Hall, Guimarães, Portugal
Keywords: Business Intelligence, e-Government, Data Warehouse, Local Government, Simplex, Requirement
Engineering.
Abstract: The use of business intelligence (BI) systems by organizations is increasingly considered as an asset, which
goal is to provide access to information in a timely manner in order to support the decision-making process.
However, in specific cases such as local government organizations, there are very specific challenges. Some
of them like privacy rights and applicable law compliance must be carefully observed, making the necessary
adaptations of these BI solutions. The developed solution brings some important contributions and
represents some advances in the eGovernment context applied to local governments where the information
is normally used/stored are not normalized and pre-defined. Being this a big barrier to development of this
type of solutions, the developed architecture is prepared to improve the data quality and avoid this type of
mistakes. This paper presents an architecture of a BI platform on a local government organization, geared
towards the improvement of citizen offered services quality and efficiency maximization, thus contributing
for cost reduction to the taxpayer.
1 INTRODUCTION
Young Modern Governments and developed
countries, need an agile and flexible Public
Administration (PA) capable of facilitating the lives
of citizens by establishing a swift decision-making
process to address citizens questions in a timely
manner. This process should increase public
confidence in interaction with the PA.
As such, it is increasingly important to develop
an innovative government capable of adapting to the
information society challenges, and provides quality
services according to new paradigms of organization
and networking, supported by recent advances in
information and communication technologies.
Pursuing this guideline, a new project in the area
of Business Intelligence (BI) is being developed in a
local government organization – the Guimarães
Town Hall. Guimarães is a municipality in northern
Portugal and this Town Hall implemented a series of
administrative reforms, upgrading, optimizing and
gaining efficiency in the services provided to the
citizens. In this context, after a first study performed
in the Town Hall it was observed that the use of BI
can result in a profitable choice for the local
government organization. In this particular case BI
is used as a tool to lead the Town Hall to efficiency
and innovation. By introducing BI, this local
government organization, expects an improvement
in decision-making process (Vercellis, 2009) and
therefore provide a better service to the citizens.
However an important question arises: will it be
possible to apply BI in a local government
organization, being this an area of activity with such
peculiar characteristics and used towards citizens
benefit?
This work will try to answer this question by
using a real case study and exploring the possibility
of developing a BI architecture for a Local
Government, which allows to support and improve
the Town Hall quality processes. It is expected that
this architecture can optimize their citizen’s related
services interactions and improve the data quality.
The designed solution is prepared to:
153
Teixeira R., Afonso F., Oliveira B., Portela F. and Filipe Santos M..
Business Intelligence to Improve the Quality of Local Government Services - Case-study in a Local Government Town Hall.
DOI: 10.5220/0005051601530160
In Proceedings of the International Conference on Knowledge Management and Information Sharing (KMIS-2014), pages 153-160
ISBN: 978-989-758-050-5
Copyright
c
2014 SCITEPRESS (Science and Technology Publications, Lda.)
automate keys performance indicators (KPI)
gathering related tasks that are currently
performed manually;
ensure the existence of near real-time
information considered relevant to the
decision-making process;
provide new decision-making process support
information currently inexistent.
The main goal of this paper is to present the data
warehouse dimensional model, the BI architecture
and the SWOT analysis of the solution which it is
suitable for most local government organizations,
aiming for an improvement of citizens oriented
services, using a near real-time data approach.
A brief background and related work is presented
on section 2 and in section 3, contextualization of
the problem and main concepts are presented.
Section 4 briefly describes the BI architecture and
data warehouse model. Section 5 presents the
expected results from the implementation of the
proposed BI architecture and a SWOT analysis of
the solution. Section 6 addresses an introspective
discussion of this work and finally, section 7 and 8
concludes the paper and presents future work and
areas of research derived from these findings.
2 BACKGROUNG
2.1 Business Intelligence
Business Intelligence (BI), is being increasingly
used by organizations (Chaudhuri, et al., 2011), in
the private sector, allowing executive managers to
improve the decision-making processes
In a simplistic view of BI, it combines the
operational data of the organization, which is stored
in repositories created for that purpose and through
the use of analysis, data processing and exploitation
tools, to deliver useful information to managers for
the decision-making process, (Negash, 2004),
(Sharda, 2008) e (Turban et al., 2010). The
importance of BI lies in the combination of the
information delivery process, with the ability that
people have to identify the real needs of the
organization, since without it, the tools by
themselves have no value.
2.2 Business Intelligence for Local
Government
The use of BI by organizations reveals itself as an
added value in the decision-making process,
allowing organizations to obtain a differentiation in
provided services (Ranjan, 2009). This methodology
has been applied in local government, with positive
results, in areas with different characteristics of the
ones implemented in this project (Smith, 2008) and
(Souza and Pereira, 2009).
There are relatively few case studies in literature
regarding practical applications of a BI technology
in government at its several levels, despite the
benefits of BI results within the private sector.
Coman (Coman, 2009) presents a framework for
a BI implementation for E-Government initiatives.
From his paper it is possible to deduce some issues
from BI implementations in government related
scenarios. There is also some technical work by
Microstrategy (Microstrategy, 2007) discussing the
advantages of BI solutions, when adopted by the
government. Also, within the context of this work -
BI in the local-government - Adelakun, (Adelakun,
2012), presented a holistic view of a BI solution
implementation within town-halls in Sweden.
Adelakun study, contributes to a better
understanding of the benefits for local government
when adopting a BI solution. He stated that benefits
can be achieved in short terms, but the value only
appears in the mid-term to long-term.
After analyzed the related work it is important to
mention that it is possible identify the advantages
and related problems originated by a BI
implementation in government. Also worthy of
mention, is the lack of practical achievement of the
proposed BI architectures in some cases, or the lack
of details in others. At the same, time the number of
solutions specific to local government are also too
reduced. Although there are most solution to this
area, the approach presented in this paper appears to
be the first which propose a BI architecture that can
be applied to a local government organization,
improving its Quality Assurance System, meeting its
singular business objectives and their restrictions.
2.3 Data Warehousing
Databases used to store a large number of different
data sources, current and historical, directed to the
subject, a dimensional or standardized, allowing
selective analysis of data in order to assist
managers in organizational decision making
(Inmon, 2005), (Kimball, et al. 2006), (Santos and
Ramos, 2006), (Rainardi, 2007), (Turban, Sharda
and Delen, 2010).
The development of the data warehouse was
started with the “Top-Down” implementation
approach (Inmon, 2005).
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3 CONTEXTUALIZATION
The county of Guimarães is located in the district of
Braga in Portugal. It is a highly industrialized
country. The city of Guimarães is known for its
history and its Historical Centre, classified as
Human Heritage by UNESCO.
The society is constantly changing, so one of the
concerns of the Town Hall is to provide the best
services to its citizens. In this way, the Town Hall
has implemented a quality assurance system whose
main goals are to provide the best service at the
lowest cost to the taxpayer citizen.
With the purpose of providing the best services
at the lowest cost to the taxpayer citizen, the Town
Hall joined a central government program, known as
"Simplex Autárquico". Simplex Autárquico is a
program that includes measures of administrative
and legislative simplification, in order to simplify
the interaction of citizens and companies with the
local government. This derived initiative from the
wider central government program namely
“Simplex”. The introduction of this program was an
important trigger to the development of this BI
solution.
3.1 “Simplex” and “Simplex
Autárquico”
The “Simplex” arises from the need of the central
government to respond to pressures for change to
make public services more effective and efficient.
This program has as main objective improving the
lives of citizens and companies who interact with
the public sector
(OECD, 2008).
This program is based on five main objectives
(Marques, 2010):
1. To make them simpler services;
2. To bring the services closer to citizens;
3. Services tailored to the citizen,;
4. Services assessment in order to identify the
most needed services;
5. Do more with less resource, the need for
interoperability of services within the PA.
However, the report of the Organization for
Economic Cooperation and Development (OECD)
(OECD, 2008), states that in order to maximize the
visibility of the Simplex in Central Government, this
shall be applied in local and regional government. In
this sense came the "Simplex Autárquico", targeting
the same objectives as the Simplex, spanning
administrative reform at the local level (GESMA,
2008).
For the "Simplex Autárquico", standards are
grouped into three measurement groups: Inter-
sectorial measures (IS); Intercity measures (IM);
City measures (GMR).
The Guimarães Town Hall, which is an integral
part of public administration, in order to optimize
services for the benefit of its citizens, joined the
program “Simplex Autárquico”, having
implemented some measures, such as: Creation of
a common database of knowledge, enabling rapid
access to information; Providing online services;
Implementing single points of contact. From this
point onwards, for sake of simplicity the local
government “Simplex” implementation - “Simplex
Autárquico” - will be referred to as SIMPLEX.
3.2 ”SIMPLEX” and e-Government
According to OECD (OECD, 2008), “Simplex” and
e-government (Bélanger and Carter 2012) initiatives
share common goals. Both want to make life easier
for citizens and companies in their interaction with
the local government through the use of information
technologies in order to increase the efficiency and
effectiveness of government services.
3.3 Organization Complexity
This structure consists of seven departments and
twenty-four divisions, each one with specific tasks.
Being a large organization, there is the need to
restring the focus on the specific division covered on
the project development. The quality assurance
process is implemented in almost all the Town Hall
departments and divisions. The main focus of the
project is on the “Divisão de Modernização
Administrativa e Qualidade” (DAMQ) – stands for
division of administrative modernization and quality
assurance – under dependency of the “Departamento
de Administração Geral” (DAG) – stands for general
administration department. The main goals of the
DAMQ are (Portugal, 2013):
Promote, improve and ensuring the
maintenance of a Quality Assurance System
(QAS) in accordance with European
standards;
ensure the efficiency and effectiveness of
services provided by the Town Hall;
prepare decision-making on relevant aspects;
keep the administration informed about the
relevance and efficiency of the QAS;
promote the assessment of user satisfaction;
gather and normalize the information that
should be available to the citizens;
manage the single point of contact (physical or
virtual) for the citizens;
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In short, the DAMQ main focus and their activities
revolve around the citizen.
4 BUSINESS INTELLIGENCE
ARCHITECTURE FOR LOCAL
GOVERNMENT
This architecture focuses on all activities related to
the Town Hall - citizen interaction and all the
services involved in this interaction, supporting the
single point of contact and all the back office
activities. Thus, this platform improves the
monitoring of citizens requests and information,
necessary to support the decision-making process.
Enabling a more efficient control over the quality
assurance system (QAS) implemented in the Town
Hall. With the implementation of this BI
architecture, an increase of the performance of the
Town Hall services is to be expected in the near
future. Since the information will be subject to
knowledge discovery that was not available before.
4.1 Data Acquisition
As a result of the SIMPLEX program, the Town
Hall implemented the so-called "Balcão Único”
which is no more than a Single Point of Contact
(SPC), a place that integrates various services of the
Town Hall in a single place. SPC and the
information obtainable in their workflow are the
main data source of the BI platform. In this SPC, the
citizen can get all the required information about any
service, or perform any type of request.
In the implementation of the SPC, it was
necessary for the Town Hall to adopt a software
solution that enables an integrated management of
services offered to citizens.
This application allows the flow of information
across all the departments and their respective
divisions, making the management of all citizens’
requests swifter. When a citizen goes to the SPC to
make a request (claims, participations, requests for
certificates, among others) the request is created on
the application by the public servant.
Accordingly to the type of classification assigned
to the request, it will follow a predetermined
information workflow.
These workflows are previously created/
configured in the application itself. Within each
workflow there are multiple nodes that identify the
points where the requests must pass. Within each
department/division there are specific workflows.
Each new request from the citizen is inserted in a
given workflow, and dispatched to the proper
responsible department (as configured on the
workflow) for resolution.
The workflows created in the process
management computer application, tend to recreate
the real, tangible, flow of information.
As a downside, the computer application does
not address all the needs of the organization,
reflecting some shortcomings common in all the
Town Halls, such as:
general overview of all requests;
identify execution times of requests
workflows;
make average execution time of requests;
make statistical analyses;
identifies slower requests and bottlenecks.
A review in-place, of associated tasks executed
within the scope of the requests workflow, has
showed that certain tasks are still performed
manually, recurring to computer spreadsheets.
Production of statistical indicators relevant for the
decision-making process are not based on
information obtained in real-time, but produced
manually on large time frames that hinders the
ability to use those indicators in a timely fashion to
correct deviations to the workflow.
This type-working provide a high number of
wrong values and the insertion of many not pre-
defined values. This situation is common in this
context and it was one of the main barriers to the
development of the proposed architecture. With this
BI architecture the information acquisition for the
Extraction, Transformation and Loading (ETL)
process, will be done in real-time through views of
the operational database. This task will overcome
the need of manual registration of indicators.
4.2 Requirements Engineering
To identify the requirements for this BI architecture,
the Requirements Engineering (RE) activity was
used, since it is crucial to the success of project
development of information systems (Sommerville,
2006). Requirements engineering is defined, not
only as an initial activity of a project which is
conducted the survey of requirements from users for
the product to be developed, but also includes
management of the negotiating process, with the
objective that the requirements obtained, satisfy
organizational objectives, ensuring business
alignment (Berry and Lawrence, 1998) and
(Sommerville and Kotonya, 1998).
The RE was accomplished according to
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Sommerville process (Sommerville, 2006). By using
this process, knowledge from the stakeholders was
acquired, in order to develop a more broad
architecture capable of serving a wide range of
Town Halls. This RE process resulted in a set of
requirements that the platform should provide. They
obey certain characteristics to ensure their quality,
according to BABOK (IIBA, 2009).
4.3 Architecture
Figure 1: Proposed Architecture for Business Intelligence
platform for the local government.
In order to develop a broad architecture that satisfy
not only the needs of this local government, but
allow its adjustment to other local governments, the
developed architecture incorporates the different
concepts presented by Chaudhuri, Dayal and
Narasayya (2011), where it is possible to simply
identify the layers that makes the BI architecture
under implementation in the Town Hall. This
architecture is presented above, in Figure 3.
4.3.1 Architecture Features
Being this a broad architecture it is expected to
contain set of non-functional requirements. This is
important because it defines the effectiveness of the
BI solution on accomplishing the task it is supposed
to do. Non-functional requirements represent
additional features that define the overall qualities to
be implemented in the development of the BI
solution. During the architecture development the
following overall requirements were taken into
account: information availability; information
security; information reliability; interoperability;
portability; adaptability; real-time.
4.3.2 Architecture Break-down
The layered architecture approach makes it easier to
identify and interpret the phases for implementation,
required for the development of Business
Intelligence (BI) platform technologies. This
architecture consists of five layers which present
different characteristics from each other, such as:
“Data Sources” –For the development of this
architecture, views from the operational
databases and worksheets produced in control
points is used.
“Data Movement Streaming Engines –In
this process, commonly known as Extract,
Transform and Load (ETL), the Microsoft
technology tool is used.
“Data Warehouse Servers” –This repository
is supported by Microsoft technology.
“Mied-tier” –For this layer of the
architecture, the Microsoft technology tools is
used.
“Front-end Applications” –The front-end
applications are being developed taking in
account some feature: usability, user-friendly,
Human-Computer Interaction (HCI) and best
coding practices.
4.3.3 Data Warehouse Model
To fulfil the final set of requirements, a
multidimensional model of the data warehouse was
created (Figure 4). This model is composed of the
fact table FACT_REQUEST, and eight dimension
tables. The model allows the induction of several
indicators (e.g. number of requests, average time,
classifier type) grouped by type of request and type
of movement, workflow, region, time, citizen,
department and user.
One of the main concerns, during DW
development, was to follow a design where the local
government organization informational needs would
be fulfilled by increasing for example the data
quality. To accomplish this there are several
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Figure 2: Data warehouse model for Business Intelligence
platform for the local government.
approaches such as: goal-oriented, data-oriented and
user-oriented. These can be used separately or
combined (Inmon, 2005), (Niedrite, Solodovnikova,
et al, 2007).
The selected approach was goal-oriented, which
in conjunction with Requirements Engineering (RE)
techniques, allowed to elucidate the organizational
goals that became the local government organization
KPI’s which allowed us to ascertain the DW
performance (Niedrite, Solodovnikova, et al, 2007).
5 RESULTS
5.1 Business Indicators
At the moment is being concluded the last phase:
implementation and monitoring. With this Business
Intelligence (BI) implementation, through the use of
a more broad architecture, it is possible to meet the
following business requirements, considered
transversal to all local government institutions:
statistical indicators; average response times;
prediction of the average response time;
measurement of the citizens level of satisfaction;
management of key business indicators.
It presents a set of Key Performance Indicators
(KPI) which allow the organization to obtain the
following information:
total requests received;
quantities by type of requests;
average time resolution of requests;
detection of temporal deviations on requests;
prediction of time for requests resolution;
identify patterns on type of requests entry;
identify potential bottlenecks on workflows;
identify communication channel most used;
busiest periods of time at the physical SPC.
All these analysed KPIs have temporal analysis
options along several dimensions, such as year,
month, day, semester, among others. At the moment
these KPIs is under development and was pre-
validated by the town hall.
5.2 Strengths, Weaknesses,
Opportunities and Threats
The analysis of strengths, weaknesses, opportunities
and threats (SWOT) is used to ascertain the
company's strategic position (Hill and Westbrook,
1997). It is one of the most known management
tools for the strategic analysis of the internal and
external factors favorable or unfavorable for the
organization (Piercy and Giles 1989), that provides
information relevant for the decision-making process
(Kajanus et al. 2004), also allowing for a good
starting point to check for strategic business
alignment of the organization.
With this analysis as can be observed below it
was possible to identify the internal strengths and
weaknesses, as well as the external threats and
opportunities, resulting from the implementation of
this BI solution at the Town Hall.
Strengths
Increases efficiency of services
Increases quality of services
Improve performance off attendance
Reduces costs of information analysis
Increases quality in decision-making
Faster access to data
Data availability readiness
Reporting (ad-hoc reporting)
Integration of different systems
Monitoring and compliance to standards and
rules
User defined parameters for analysis
Intuitive platform with easy access
Weaknesses
Access to information (legal constraints)
Sensitivity data nature (legal constraints)
BI project complexity
Fragmented data source existing
Change of organizational culture
Data security
User resistance to the change
IT department’s knowledge
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Opportunities
Increasing urbanization of the people;
Population increasingly technological.
Needs of organization cost reduction
Improve the quality of decision making
Improve efficiency in service delivery
Improve citizen’s satisfaction
Threats
Suspicion of citizens relating to information
processing.
Policy issues (legal constraints)
Security issues
Technological complexity
Technological skill and expertise
Autonomy of the organization (monetary)
Information and data quality
6 DISCUSSION
The initial results of this project point towards the
existence of benefits resulting from the
implementation of a BI solution within the local
government, more specifically and as addressed in
this, the Town Hall. Despite the use of BI tools
within the government being somewhat recent, and
some barriers to the implementation were identified
on the SWOT analysis (such as Policy issues, quality
of the data our technologically issues), results from
these early BI deployments clearly demonstrate that
the benefits clearly outweigh the drawbacks.
IT is not uncommon on local government (like
the own studied) that several organizational units are
organized in a very strict and bureaucratic fashion.
This often results in organizational and
informational silos, making the information sharing
between horizontal units, hard or even impossible to
accomplish. Usually information must go up into the
hierarchy and back down to it final destination.
Even for this to happen, there must be clearly
identified business process that establish this
informational path. One of the benefits of the
proposed BI solution is that some, if not most, of the
KPI indicators, would be available horizontally
across the entire local government organization,
never of course, without observing proper access
and/or clearance levels, in the case of sensitive KPIs.
As stated before, a great deal of effort has been
put to this architecture, in order to avoid confining it
to one local government organization (the one where
it is being implemented), so that it can be re-used in
similar scenarios where most, if not all, of the KPIs
are of interest to keep under supervision. Taking the
KPIs in account as the main driver for the BI
architecture design, the proposed solution aims at
the local, rather than the central, Government since,
most of the KPI’s are explored taking into account
the organizational structure already exposed above,
where the informational flow, itself, must be
controlled and monitored, as the requests travel
horizontally through the several organizational units
that intervene on the citizen request. Usually in
central government, requests from citizens usually
travel vertically from superior authorization, and
back down to the originating office.
Some preliminary results from the
implementation, point towards a simplified and more
expedite access to the required information. Also,
some KPI indicators that, were hard to get and
involved a significant investment in manual labour,
can now be accessed in a timely fashion. Some of
them were actually impossible to get, and are now
possible to observe in near real time.
7 CONCLUSIONS
The use of Business Intelligence (BI) in a local
government organization, as is the case of a Town
Hall, has clear benefits to the organization. In this
paper an architecture for a BI solution was
presented, designed to be as broad as possible so it
can be reused throughout local government
organizations. The own BI solution is being
terminated and was developed using a real case. This
BI solution is capable of providing useful support to
the decision-making processes, since information is
taken as one of the most valuable assets to any
organization. When used properly, it can help
decision makers in their task by providing them with
insight for making the right choices leading to a
positive impact on a target group of citizens. In
short, this BI solution can provide concrete
information regarding the trends and needs of the
citizen, allowing for local government organization
services optimization and proper knowledge gap
discovery if that is the case. The main contribution
of this paper is a BI architecture that can be reused
throughout local government organizations, in order
to improve service quality and benefits to the
citizens.
8 FUTURE WORK
The project is under development and expected
future work concluding the implementation of the BI
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solution, based on the presented architecture,
includes but is not limited to: Validation of its
applicability in the local government institution
under study - the Town Hall; analyze what benefits
this system introduces in the local government
organization and in the life of citizens; identification
of a set of indicators considered relevant for future
implementations in other local government
organizations.
ACKNOWLEDGEMENTS
This work has been supported by FCT – Fundação
para a Ciência e Tecnologia in the scope of the
project: Pest-OE/EEI/UI0319/2014.
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