Business Intelligence 2019
Table of Contents
Part 1 ...................................................................................................................................................... 2
Introduction ............................................................................................................................................ 2
Presentation on Business Process and Supporting Process using specific Examples ............................ 2
Presentation on Difference between Semi structured and Unstructured Data ....................................... 4
Evaluation of Application Software....................................................................................................... 5
Summary of Presentation ....................................................................................................................... 8
Conclusion ............................................................................................................................................. 9
Part 2 .................................................................................................................................................... 10
Introduction .......................................................................................................................................... 10
Key Features of Business Intelligence Functionality: ......................................................................... 12
Microsoft Excel ................................................................................................................................ 12
Part 3 .................................................................................................................................................... 18
Introduction .......................................................................................................................................... 23
Methods: .............................................................................................................................................. 24
Concept of Business Intelligence ......................................................................................................... 24
Designing a business intelligence application. .................................................................................... 26
Critical review of the design. ............................................................................................................... 38
Contribution of business intelligence to effective decision-making. ................................................... 38
Exploring the legal issues involved in the secure exploitation of business intelligence tools. ............ 39
Examples of organizations that have used business intelligence tools to enhance or improve their
operations. ............................................................................................................................................ 41
Evaluating how organizations could use business intelligence to extend their target audience. ......... 42
Conclusion and Recommendation: ...................................................................................................... 43
References ............................................................................................................................................ 44
Overall Conclusion of Part 3................................................................................................................ 45
Works Cited ......................................................................................................................................... 46
Manish Dhakal (HND / Third Semester)
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Business Intelligence 2019
Part 1
Produce a presentation which
 Examines business process and supporting processes using specific examples
 Shows the differentiate between unstructured and semi-structured data
 Evaluates the advantages and disadvantages of using application software for business process
Introduction
In this Task, I am going to prepare the presentation, which examines business process and supporting
process using specific examples, then I will differentiate between unstructured and semi-structured
data and at last, I will evaluate the advantages and disadvantages of using application software for
the business process.
Presentation on Business Process and Supporting Process using specific Examples
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Presentation on Difference between Semi structured and Unstructured Data
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Evaluation of Application Software
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Summary of Presentation
In this Presentation, I have discussed the business processes which is collection of linked tasks which
find their end in the delivery of a service or product to a client and it is also set of activities and tasks
that once completed will accomplish an organizational goal and I have also introduced supporting
process of my IT Company which is Dhakal IT Solutions that is all the processes such as Human
Resources Management, Financial Management Process, Vendor Management Process, operational
process, security and risk management process whose main purpose is to ensure better functioning of
core processes and running company smoothly and I have specify some examples of business
processes and supporting processes for my IT Company. Similarly, I have also presented the difference
between the unstructured and semi-structured data. First, I have introduced the unstructured and semistructured data and then I have presented some examples of unstructured and semi-structured with
some real examples like in unstructured data be like audio files and video files and semi-structured be
like log files, and IOT log files.
Moreover, I have evaluated advantages and disadvantages of using the application software for
business processes. I have choose Microsoft Excel as application software. First I have introduced
Microsoft excel, with some introduction I have discussed its advantages like it is easy and effective,
powerful data analysis tools, it has easy to create the visual presentation and statistics of data and I
have discussed some challenges and limitations like uneasy in sharing its functionalities and other
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problems with database and its decision making. In addition, I have discussed its application, which is
apply in preparing budgets, calendar, agendas, and in making other inventories.
Conclusion
From the above Part 1, I have prepared the presentation which examines business process and
supporting process of real examples such as Dhakal IT Solutions and other specific examples and then
I have differentiate between unstructured and semi-structured data with depth introduction and I have
discussed over examples. I have evaluated the advantages and disadvantages of using application
software, which is Microsoft Excel and discussed over the introduction, real world examples and it
applications for the business processes.
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Part 2
Write an article, which
 compares the different types of support available for decision making for decision making at
varying levels within an organization.
 Justifies the key features of business intelligence functionality with reference to specific
examples.
 Compares and contrasts different information systems and technologies that can be used to
support organizations at operational, tactical and strategic levels.
Introduction
In this Task, I am going to write an article by comparing the different types of support available for
the decision-making at varying levels within an organization and I will justify the key features of
business intelligence functionality with references to specific examples like dashboard, pivot table,
storage etc, and eventually, I will compare and contrasts different information systems and
technologies that can be used to support organizations at operational, tactical and strategic levels.
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Abstract
In today’s dynamic world business, firms have to take a number of decisions every now and then.
Every organization needs to make decisions at one point as part of managerial process. Decision are
made in the best interest of the organization. Whether it be the strategic, tactical or operational
decision, the process of making decisions is complex. While small organization involves all level of
managers, complex organization are largely depend upon professionals who are trained of making all
kinds of decisions. Similarly, taking about the features of business intelligence, there are many tools
of business intelligence, which are dashboard to understand real time data, pivot table for counting,
sorting, and averaging the data stored in the table and storage to store the business data for future use
and retrieving the data whenever necessary. In addition, information system in an organization is to
collect, process, and store, distribute the information whenever necessary. Any organization have the
information system process to supports operational, management, and for effective decision-making.
Effective information system helps and supports each and every varying levels of the organization
which are in operational level, strategic level and in tactical level which helps and supports to increase
in every sectors like in marketing and sales of the organization, production of the organization, power
ups and strengthen the accounting and finance of the organization and helps human resource of the
organization for effective regulation of each and every task in systematic and scientific way.
Keywords: Decision making, key features of the business intelligence tools, information system in
the organization.
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achievements over time. In other words,
Name: Manish Dhakal
strategic level needs the grand strategy and
Date: 2019, May 23
plans to achieve the goals in estimated time.
Comparing types of decision making at
Key Features of Business Intelligence
different levels:
Functionality:
Comparing on the topic of the decision-making
Different organization will invest in different
at different levels, which are in operational
Business Intelligence Solutions for effective
level, tactical level and in strategic level,
understanding of the big data, for performing
generally in operational level, this level, is the
the data analysis of raw data and mixed data.
level, which is directly responsible for the low-
Generally, the following are the Business
level employees and the staff. By choosing
Intelligence tools, which are used for data
their own goals on a daily, weekly or monthly
analysis and recognizing of the mixed data.
basis, first-line management accomplishes the
objectives of middle management. Inventory,
scheduling, preparing account, budgeting are
the examples of the decision and plans, which
are performed in operational level. On talking
about in tactical level, once upper management
decides the overall direction of the company,
it’s up to middle management to choose smaller
tactical
objectives
that,
put
together,
accomplish strategic goals. Various tactics are
geared towards some functions such as in
production and involve in efficiency and in
quality
improvements.
Similarly,
in
strategic
(Chron,
2019).
and
upper
in
Microsoft Excel: Microsoft excel is the
software program produced by the Microsoft
that allows the data to organize, format and
calculate the data with auto generated formulas
using a spreadsheet system. It features is ability
for calculations of numeric data, creating
graphical tools, creating the tables and creating
the macros. Excel has a basic features which is
the collection of cells arranged into rows and
columns to manipulate and organize data. It can
also display data as charts, line graphs and
histograms. (Technopedia, 2019)
management levels there are the boards of
directors who creates the mission and write a
mission statement for the internal and external
audiences. They are also responsible for
translating scope of a mission and vision into
the concrete
Figure 1: Excel Line Graph
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There are the various features which are in
intelligence
functionalities
are
Total
West
East
West
East
AspenCarlotaFlatTopQuadSunsetYanaki
West
extended and enhance form of the data
East
Dashboard: Dashboard in Excel is the
South
discussed below
25000
20000
15000
10000
5000
0
South
business
Total
South
Microsoft Excel for performing different
visualization. It provides the clear analysis of
Figure 4: Dashboard
data, which helps in effective decision-making.
It helps to plan and achieve business targets
Pivot Tables: Excel Pivot Table is the very
across the organization. (WallStreetMojo,
powerful tools to calculate, summarize, and
2019). Dashboard reports helps to strategic
analyze the data that helps to see comparisons,
level person to overview of the business.
patterns, and trends in our data. In other words,
Executives
personalized
pivot table is the engine built into excel which
dashboards that deliver easy-to-understand
is the single and best tool for business
KPIs and summary information on a regular,
intelligence for analyzing the data without
scheduled basis.
formulas. (Microsoft, 2019)
need
access
to
East
Aspen
Carlota
FlatTop
Quad
Sunset
Figure 5: Pivot Table
Figure 2: Dashboard
Online
Yanaki
Analytical
Processing
(OLAP):
OLAP runs for data preparation, processing,
Sunset
Quad
West
and delivering outcomes for the reporting. At
FlatTop
South
the core of BI solutions, OLAP helps to analyze
Carlota
East
the multidimensional data in real time or
Aspen
analytical processing. For example, user user
0
100000
200000
300000
Figure 3: Dashboard
Manish Dhakal (HND / Third Semester)
aggregates the company’s sales data by
location, while another one uses the same data
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source and mashes it with real-time online
and reporting. They are mostly needed for the
purchases. Two users with different purposes
reliable, consolidated, unique and integrated
use the same dataset interactively. The BI
reporting and analysis of data. In other hand,
software allows three OLAP operations, which
data mart is likely as subset of an organizational
are, consolidate and roll up the desperate
data store, data marts are specially designed to
sources, drill down to details, slice and dice.
focus on specific business functions for specific
community and organization.
Comparing
and
contrasting
different
information system to organization at
various levels
An information system is the set of components
that work together to manage data processing
and storage. For sharing information and other
ideas information system is essential and it is
Figure 6: OLAP by country level, sales and browser
Storage: Storage for the saving various data so
that a business intelligence system can provide
the meaningful results to the user. Storage is the
important. It supports in different key aspects
of organization such in communication, record
keeping, decision-making, data analysis and
more. (Anon., 2019)
key component of businesses to rely on it to
preserve information ranging from personal
information to the big business critical
information. Underscoring the importance of
storage is a steady climb in the generation of
new data, which is attributable to big data and
the profusion of internet of things (IoT)
devices. Modern storage systems require
enhanced capabilities to allow enterprises to
apply
machine
learning-enabled
artificial
Figure 7: Information System
intelligence (AI) to capture this data, analyze it
From different, level in organization such as in
and wring maximum value from it. (Rouse,
strategic level, tactical level and in operational
2019). In business intelligence, data warehouse
level, we can compare and contrasts different
and the data mart is designed for the analysis
information system and technologies that can
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be used to support in organization. First of all,
in strategic level, there what if analysis,
dashboard.
What if analysis
In excel, what if analysis allows to try out the
different scenarios and values for formulas. For
Figure 10: Final Scenario for book selling in 90%
example, assuming the bookstore, which 100
Hence, in strategic level complex data analysis
book in storage, we sell a certain percentage in
tool is used to get information.
higher price in Rs 500 and certain percentage in
Dashboard: Generally, in strategic level to
Rs200.
obtain information from various raw data,
dashboard is used. It provides the clear analysis
of data, which helps in effective decisionmaking. It helps to plan and achieve business
targets
across
the
organization.
(WallStreetMojo, 2019). Dashboard reports
helps to strategic level person to overview of
Figure 8: Initial scenario
the business. Executives need access to
If we sell 60% for the highest price, cell D10
personalized dashboards that deliver easy-to-
calculates a total profit of 60 * $50 + 40 * $20
understand KPIs and summary information on
= $3800. But if we sell 70% for the highest
a regular scheduled basis.
price or in higher percentage, we can use what
if analysis for different scenarios
Figure 9: what if analysis in data tab
Figure 11: Shipping Status Dashboard
In tactical level, they are responsible and
concerned with organization and direction
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function of management. Main tasks of this
without
formulas.
(Microsoft,
2019)
level is Interpretation of programs and policies,
departmental operation, guide, directs and
motivate their workers to achieve the goals, coordinate and cooperate with other departments,
collecting reports and statics from the lower
level and send it to top level management.
Figure 12: Pivot table for Region with Sum of Sales
There are mainly two tasks, which are operated
In other hand, tactical level staff perform the Ad
in this level for the information, which are
Hoc Analysis to answer a single, specific
Management Information and reporting system
business questions. Ad Hoc lets the user to
and other is Decision Support system. In the
determine which data sources to pull from and
MIS system, senior managers that helps to
how data will be presented. Ad-hoc analysis can
determine
summarize
run the gamut from a simple one-off data table all
information periodic. Provide middle level
the way to intricately detailed sales reports
management with reports that summarize and
using dashboards, interactive maps, and other
categorize information derived from company
advanced visualization features. (SISENSE,
database. In other in decision supports system
2019).
the
performance
mid-level and high level managers create those
complicated decisions about the which all the
related restrictions is known. A type of decision
support system that is geared mainly toward
high-level higher managers is the executive
information system (EIS) or executive support
At last in lower level, which is operational
system(ESS) (MBA, 2019)
Generally, in tactical level pivot tables are also
mostly used for calculating, summarizing, and
analyzing
the
data
that
Figure 13: Ad hoc Analysis
helps
to
see
comparisons, patterns, and trends in our data.
In other words, pivot table is the engine built
into excel which is the single and best tool for
business intelligence for analyzing the data
level.
levels
includes
supervisors,
foreman, account officer, sales officer etc.
They are directed and controlled by the middle
level management, they can share their
information only to tactical level and their
functions are organizing activities of the group,
motivating from the tactical level, plan for the
day and the week etc. Information is gained
from
Manish Dhakal (HND / Third Semester)
This
detained
report,
which
contains
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information about routine activities. People at
operational level carry out detailed tasks
defined by middle management. (MBA, 2019).
In this level, there are two types of information
system which are Transactions processing
system and attendance system. TPS includes
organizational
transactions
like
sales
transactions or stock items. This helps to the
managers at daily effective level of keep
tracking of the daily transactions and to put
orders, create consignment. This is also called
as data processing system. Usually it creates the
daily transactions or future transaction. In other
hand there is attendance system to collects the
data of when the employees start and stop their
working days, and where their work takes
place. This is done through the system that
collects the data manually or automatically
through the use of different kinds of attendance
equipment’s.
Manual
Attendance
system
includes the managing the log of employees
hours and attendance. Automatic attendance
system includes the various tracking systems
that are biometrics, magnetics strips cards,
barcode tags, electronic tags, and touch screens
for accurate collection of the data, employees
accountability and minimizing the time theft.
(Islam, 2019)
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Part 3
Introduction:
In this Part 3, I am going to prepare a report by introducing business intelligence, illustration of
concept with reference to specific examples and listing out tools and techniques associated with the
business intelligence and design of a business intelligence tools, programs and apps for the
organization which will develop in software called AppSheet that can performs specific task to
support problem solving or decision making for our organization or ensuring the design is user
friendly and has a functional ability, or concluding paragraphs to provide critical review of the
design. Moreover, discussing on the contribution of business intelligence tools such as data
visualization, dashboards, graphs, pivot table to make effective decision on our organization and
exploring the legal issues, which are privacy, term of service agreement etc. involved in the secure
exploitation of business intelligence tools. In addition, conducting a small survey to identify specific
examples of organizations that have used business intelligence tools to enhance or improve their
operations and last evaluating how organizations could use business intelligence to extend their
target audience and customers.
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Business Intelligence
and its Tools and
Techniques
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Table of Contents
Introduction………………………………………………………………………………
Concept of Business Intelligence…………………………………………………….......
Methodology………………………………………………………………………………
Designing a business intelligence application………………………………………….....
Critical review of the design………………………………………………………………
Contribution of business intelligence to effective decision-making……………………..
Exploring the legal issues involved in the secure exploitation of business intelligence tools
Evaluating how organizations could use business intelligence to extend their target audience
Conclusion and Recommendations…………………………………………………………
References…………………………………………………………………………………....
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Statement of Problems: The main reason for performing this report is to determine and establish the
concept of business intelligence, its specific examples and finding out its tools and techniques
associated with it. Moreover, designing the business intelligence tools, apps and program that can
perform specific tasks to support problem solving and easy for decision making for an organization
and ensuring how design is user friendly and has a functionality ability. In other hand, to discuss how
business intelligence tools can contribute to effective decision making and to explore the legal issues
involved in secured exploitation of business intelligence tools. Lastly, to identify the specific examples
organizations that have used business intelligence tools to enhance or improve their operations and
evaluating how the organization could use business intelligence to extend their target audiences.
Background Information: Richard Miller Devens in 1865, cyclopedia of commercial and business
Anecdotes contains first known usage of term business intelligence. Furnese ultimately used this
advanced knowledge to duplicitous ends and became renowned as a corrupt financer. The idea of
gathering information on business conditions, however was a seed that would grow. It was with 1958
publication of a landmark article on the subject by IBM computer scientist Hans Peter Luhn, that the
potential of BI was recognized. An article “A Business Intelligence System” described an automatic
system developed to disseminate information to the various sections of any scientific, industrial and
government organization. Luhn’s work did more than introduce and expand the possibilities of a
concept of Business Intelligence. His research established methods that were built upon to create some
of the IBMs touchstone analytical system. and later he is popularly recognized as the “Father if
Business Intelligence”
In 1980s, with the advent of computer in the business world, company finally had an alternative to
storing the data on the paper. IBMs invention of the hard disk revolutionized in data storage. Floppy
discs, laser discs, and other storage technologies meant more and more data was being created. In the
1988, international aimed to streamlined the data processes. The Multiway Data Analysis consortium,
held in Rome, was landmark in BI Analysis.
In 1989 Gartner Analyst Howard Dresner, again brought the phrase which is “Business Intelligence”
into common vernacular. Competition for more vendors in the field led to advanced including data
warehouses. This new tool improved the flow of data as it moved from the operational system to
decision support. In later years, this phase of the development became known as the Business
Intelligence 1.0.
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In the 1990s and 2000s, business intelligence became the commonly known phrase and dozens of new
vendors hit the market. Too many project were owned by the IT department, meaning that most users
were not still capable of executing the BI tasks on their own. Only technical experts were able to utilize
the advanced data analysis software.
The dawn of the 21 century marked as a distinct turning point, as technologies developed to address
issues of both complexity and the speed. The BI 2.0 included a host of different technologies such as
real time processing, which incorporated information from events as they happened into data
warehouses, allowing companies to make decisions based on the most recent information available. It
also provided a way for users to review methods and software, and more broadly disseminate a basic
understanding of the different uses of business intelligence. The more that people communicated, the
more that they understood.
BI was no longer an added utility, it was becoming a requirement for business looking to stay
competitive and to understand the trends in the Market and for future predictions. Hence, from the
concept of Richard Miller Devens to Modern BI like Cloud BI and Mobile BI, it has changing its
structure from time to time. (Heinze, 2014)
Introduction
According to the Michael F. Gorman, professor of operation management and decision science at the
University at Dayton in Ohio “Business intelligence is also called descriptive analytics, in that it
describes a past or current state. It doesn’t tell you what to do; it tells you what was and what
is.” Actually, Business Intelligence refers to the procedural and technical infrastructure that collects,
stores, and analyzes the data which was produced by the company. BI also encompasses data mining,
process analysis, performance benchmarking. For supporting the BI, there are many BI tools which
access and analyzes data sets and present analytical findings in the reports, summaries, dashboard,
graphs, charts and maps to provide user with detailed intelligence about the state of business. BI tools
offers a way for people to examine the data to understand trends and to derive insights.
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Methods: The methods, which are going to use in this report, are Business Intelligence tools, which
are from the vendors like Microsoft. Microsoft products like Microsoft Excel for the data analysis for
changing improper data to proper data and making exciting dashboard, pivot table from here. In this
report, business intelligence apps will be developed using open source tools called AppSheet.
AppSheet is the no code platform which can make interesting application by using its interesting
functionalities and behavior. We can also deploy application from here. Hence, by creating and
deploying the application from the AppSheet and using BI tools which is Microsoft Excel, we can
make exciting apps and better data analysis.
Concept of Business Intelligence
First of all, Business Intelligence concept was introduced in 1865 by Richard Miller Devens,
cyclopedia of commercial and business Anecdotes contains first known usage of term business
intelligence. Furnese ultimately used this advanced knowledge to duplicitous ends and became
renowned as a corrupt financer. The idea of gathering information on business conditions, however
was a seed that would grow. It was with 1958 publication of a landmark article on the subject by IBM
computer scientist Hans Peter Luhn, that the potential of BI was recognized. An article “A Business
Intelligence System” described an automatic system developed to disseminate information to the
various sections of any scientific, industrial and government organization. Luhn’s work did more than
introduce and expand the possibilities of a concept of Business Intelligence. In the 1990s and 2000s,
business intelligence became the commonly known phrase and dozens of new vendors hit the market.
Too many project were owned by the IT department, meaning that most users were not still capable of
executing the BI tasks on their own. Only technical experts were able to utilize the advanced data
analysis software. Then after business intelligence patterns, shape and size changes time to time and
came into the modern era.
Actually, Business intelligence is the leverages software and services to transform data into actionable
intelligence that informs and organization strategic, tactical decisions, and business decisions. The
need for BI was derived from the concept that managers with inaccurate or incomplete information
will tend, on average, to make worse decisions than if they had better information. BI attempts to
solve these problems by analyzing the current data and which is presented to dashboard for quick
metrics designed to support better decisions.
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For example, if Ram is in charge of productions schedule for the several beverage factories and sales
are showing strong month over month growth in a particular region. Ram can approve extra shifts in
real time to ensure his factories can meet demand. Similarly, Ram can quickly idle down that same
production if a cooler than normal summer starts impacting sales. This is the simple example of “how
BI can increase the profit and reduced the cost when using properly.”
Another example, a company that wants to better manage its supply chain needs BI capabilities to
determine where delays are happening and where variabilities exist within the shipping process,
According to the Hagans, that company could also use its BI capabilities to discover which products
are most commonly delayed or which modes of transportation are most often involved in delays. The
potential use cases for BI extend beyond the typical business performance metrics of improved sales
and reduced costs. (Pratt, 2017)
Listing techniques associated with Business Intelligence

Dashboards

Visualizations

Reporting

Predictive Analysis

Data Mining

ETL(Extract Transform, Load)

OLAP (Online Analytical Processing)

Drill Down
Listing tools which are available and associated with Business Intelligence

Modlr

Yellowfin BI

Clear Analytics

SAP Business Intelligence

Sisense

Micro Strategy
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Business Intelligence 2019

Board

IBM Cognos Analytics

Oracle Business Intelligence etc.
Designing a business intelligence application.
First, for designing the business intelligence application an open source tool AppSheet is used.
AppSheet is the intelligent, declarative, no code app platform that allows user to create mobile, tablet,
and web applications using data sources of our own or from Google sheets, Google Drive, Dropbox,
Office365 and database platforms. The main features of this software or the platform are data
capturing, data collaboration, data display, and declarative programming model.
The following are the steps of designing the business intelligence mobile application which was named
as Dhakal IT Solutions in AppSheet.
Step 1: Searching in the browser for www.appsheet.com and clicking add new mobile application.
Figure 14: AppSheet Main Page
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Step 2: Creating New App and clicking next step and choosing our data.
Figure 15: Create a new app
Step 3: Selecting the data which was made from Google Spreadsheet and clicking start with your own
data.
Figure 16: choosing the data
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Step 4: Selecting data from the google spreadsheets. There are the three entities which I am going to
implement in the Dhakal IT Solutions which are Employee which have attributes employee name and
ID, employee post, contact, email, address and photo of the employee, and another entities is Project
which have attributes project id, project name, start and end date, completed, incomplete and upcoming
projects. And for the status of the project which have separate table that has attributes like Status ID,
in production, under review or completed or incomplete.
Figure 17: Google Spreadsheets
Step 5: Dashboard page of Dhakal IT Solutions Mobile Application.
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Step 6: Clicking User interface button and clicking Brand to add icon and app launching image for
the application.
Figure 18: Adding Icon and launch image to the application
Step 7: Completed adding icon and launching image to the application and clicking save.
Figure 19: Adding icon and launching image of application.
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Step 8: Clicking info button and choosing the properties to configure the app properties such as short
description for the application and one sentence description for the application.
Figure 20: Configuring App Properties
Step 9: Adding the Table Project and Status by clicking data in navigation panel and clicking Tables.
Figure 21: Adding tables
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Step 10: Absolute mobile view of Dhakal IT Solutions Application and page of Employee.
Figure 22: Mobile View of Application
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Step 11: Project Page of the Application.
Figure 23: Project Page of the application
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Step 12: Project Status Page
Figure 24: Project Status Page
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Step 13: Navigation Panel for the Application, which contains menu like status, assistant for support,
about page, feedback, and sharing and app gallery page.
Figure 25: Navigation Panel
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Step 14: Description Page of the Application.
Figure 26: Description Page of Application
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Step 15: Location of our Employee
Figure 27: Location of our Employee
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The above steps and the figures are the configuring process of the Application which is Dhakal IT
Solutions and design of business intelligence application which can support problem solving or
decision making for our organization. Dhakal IT Solutions is the software development company and
all kinds of IT services. We have developed application for our company by using AppSheet and we
think, we are in right vendor to develop our exciting application. As we know, in the newly created
application, there are main four entities and more others entities which are employee entities for storing
data of employees like employee id, employee name, employee address etc, this data of employee
helps us to know the employee location and whenever we need the detail of our employees then we
can easily extract the data from the application, which helps solving the problems of employee which
they are facing and another entities is project for storing the data or information of project, the main
reason for including the project entities is to gain information of project like identification of project,
project start and end date and it also shows whether the employee are completing their task in time or
not, it helps to make decision over the employee whether they are following their company rules or
not and if they are not finishing their project in time, then it helps to take strong decision to them. At
Last, other important entities of this application is project status. Project status helps to know about
status of the project like project are completing in time or not and it gives full information of project
by providing each detail of the project.
Moreover, this application is user friendly and has functionality ability. As it is fully based on our
organization and in the context of user friendly, this application have features in which user or
customer can know their project which was completed or not and they can also see whether the
employee our organization will finished the project on time. This application has no difficulties in
understanding and I think this application is user friendly and in the context of functionalities there are
various functionalities which are being used in this application such as import or bulk update like to
create the new employee or the project it needs a proper validation for all the fields and with
performance guaranteed other exciting functionalities like advanced search with millions of record and
different categories of elements, it seems difficult to find the right element without a good tools, but
in this application it is very easy to search by its project name or employee name all related results are
shown. Hence, I think this application helps to support problem solving or decision making for our
organization or it is also user friendly and has good functionalities of bulk and updating
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Critical review of the design.
I think this application is best-suited application for our organization because this application has
many features, behaviors, functionalities and user friendly, which can support in our business decision
and helps to solve problems of the employee, project and many business transactions. This application
has greater flexibility features as if we can make interesting dashboards by obtaining the data from the
simple Google Spreadsheets or from the Google Drive. This application includes three entities, which
are Employee which have attributes employee name and ID, employee post, contact, email, address
and photo of the employee etc. This data of employee helps us to know the employee location and
whenever we need the detail of our employees then we can easily extract the data from the application
and another entities is Project which have attributes project id, project name, start and end date,
completed, incomplete and upcoming projects. In the context of project, we can gain information of
project like identification of project, project start and end date and it also shows whether the employee
are completing their project in time or not, or it helps to make decision over the employee and for the
status of the project which has separate table that has attributes like Status ID, in production, under
review or completed or incomplete are itself in easy understanding and user friendly. In context of
functionalities and behavior, it has higher advanced search box, which typically process it, and results
are shown without any delay and there is good functionalities of importing and bulk updating like to
create the new employee or the project it needs a proper validation for all the fields. Hence, I think this
application user-friendly application and good functionalities with supporting the problem solving or
decision making for our organization.
Contribution of business intelligence to effective decision-making.
We already know that, business intelligence is any tools or technology that can run information into
meaningful or business organization. It is ability to extract actionable insight from the internal and
external data available to the organization, for the supporting of decision-making and in performance.
With the proper utilization of the business intelligence tools managers, business-owners will get to the
access to the right information at right time. (Entrance, 2013) Business intelligence tools can help in
decision making with different element are discussed below

Interactivity: There should be high level of interactivity between the dashboard and the report.
For example, if a person is analyzing the sales report, some interaction should be involved.
This will help a person to figure out the product wise sales, time period of sales, and more
information will be obtained. The more information, the more volume of vital information will
be obtained and it makes decision making easier and better.
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
Data Visualization: Data Visualization is more important, as it facilitates better
understandings of data. For Example, month-on-month wise sales of any product is visualized
in line graph rather than in words or in verbal. Similarly, component wise contribution could
be represent in pie chart. Hence, the more data is easily understandable or visible, it makes
decision better and easier.

Connection to Databases: Database and data warehouse is also the important part of the
business intelligence tool. By storing and connecting every data to database and in web
services, a company can retrieve each data whenever they want. Hence, it makes easier to
obtain any data and it helps to take decision over any module which is stored on the databases.

Predictive Analytics: With the support and assistance of historical and high-end algorithms
predictions can be made. For example, likelihood for customer coming back in repeat business,
expected revenue, expected region wise sales, machine failure etc. This helps an organization
to be proactive in future decisions.

Application Integration: A business intelligence tool should be integrated with application or
software regardless of whether it is developed in Java, C, Ruby, PHP, or any platform.

Mobile Business Intelligence: With a more and more work is performed in the smart phones
and in mobiles, they need to have right information in the smartphones and in the mobile. So,
all the reports, dashboard and graphs are compatible and visualized in the mobile. Hence,
mobile business intelligence can help to make effective decisions.
Exploring the legal issues involved in the secure exploitation of business intelligence tools.
Business intelligence tools helps to convert large and complex data sets into the actionable data in
order to make better decision. The real value of the BI tools is much more than information
dissemination and it is strongly linked with the business goals and business performance. A growing
range of business intelligence tools helps to understand and manage business performance. Based on
this trend, BI capabilities will become more pervasive in operational and workplace applications, as
organizations seek to use BI to lead, support decisions, explore, measure, manage and optimize their
businesses, and thereby drive business transformation. The challenge is that most users and vendors
don't see Business Intelligence as a broad strategic initiative, but instead focus on short-term tactical
issues. Each department has its own particular need for BI, but doesn't put the whole picture together
as a clear and overall vision. (Schlegel, 2008).
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There are more some legal issue which involved in secure exploitation of business intelligence tools
which are as follows

Most in the Business Intelligence Tools Deployment end user is more concentrated. The goal is to
provide the right information to the right person. The problem is, most BI deployments require the
user to stop operating in their traditional work space and move to another environment to view
information. Most users are just too busy "putting out fires" to stop and browse through the reports
in a data warehouse.

Privacy: There are many business tools which are being introduced in the modern days, which
have absolute visualization with designing like graphs, dashboard and it pivot table for changing
improper data to actionable and in proper data. The main concerned legal issues begin with the
consumer privacy. Laws and regulation has also focused in the security and privacy of personal
information. In addition, most websites, online services and mobile apps have a privacy policy
agreement and terms of service agreement and called terms of use, user agreement, etc. Those users
accept by clicking or continuing to use. Clicking wrap type agreements are generally more
enforceable than browse wrap type agreements. Having a privacy policy is a good business practice
but it may also be required by law or by third party services that collect information through a
website. Hence, both privacy policies and terms of service should be reviewed carefully.
(McKnight, 2007)

Control over Data: Ownerships of data is more important because data owner controls the data
where to be used and where to be shared. For example, Twitter's data licensing business is its fastest
growing revenue. Twitter sells over 500 million daily tweets to various companies that try to turn
the tweets into actionable information. Hence, in many business intelligence apps and browser has
lenient rule to control over data by its owner. (THELWELL, 2019)

Intellectual Property Protection: In some business intelligence software’s which appears to
remain patentable after the Alice court decision, but patent holders and applicants will face certain
challenges if they rely on the computer execution of nothing more than algorithms routines. Some
inventive steps will be needed to make Business intelligence tools patentable.

Terms of Service Agreement: A Term of Service Agreement is the legal agreement that
establishes the obligations and restrictions for using a website, mobile app or online services. The
Term of Service Agreement includes provisions that reduce the risk of claims from users and
others. There may be liability exposure if the data analytics software provides erroneous or no
actionable information. Such liability is limited in the TOS primarily by limited warranty,
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disclaimers of warranties and limitation of liability provisions in the same way as for other
contracts. (Greguras, 2017)
Examples of organizations that have used business intelligence tools to enhance or improve their
operations.
There are many organization who have used business intelligence tools to enhance and improve their
operation which are as follows
1. Organization: HelloFresh
Problems: Digital Marketing reporting ineffective, manual, and inefficient.
Improvements: To meal kit company HelloFresh Company used business intelligence tools
and solutions and saved marketing analysis team 10-20 working hours per day by automating
the reporting processes. It also empowered three buyer personas to guide their efforts. Being
able to understand and track data in real time, they can react to customer behavior and optimize
the marketing campaigns. (Tableau, 2019)
2. Organization: Coca-Cola Bottling Company (CCBC), largest bottling company.
Problems: Manual Reporting Process restricted access to real time sales and operation data.
Improvements: Coca-Cola is the largest bottling company in which business team handles
reporting for all sales and delivery operations at the company. With the Business Intelligence
Platform, the team automated the manual reporting processes, saving over a 260 hours a years.
BI platforms also supports their enterprise system integrations and put customer relationship
management data back into the hands of sales team via mobile dashboards that provide timely,
actionable information’s and distinct competitive advantages.
3. Organization: Chipotle
Problems: Disparate data sources obstruct teams for seeing a unified view of restaurants.
Improvements: Chipotle Mexican Grill is an American restaurant chain with more than 2400
locations worldwide. Chipotle retired from the traditional Business Solutions for a modern, self
and automated Business Intelligence Platform, and it allowed creating a centralized view of the
operations so they track restaurant operational effectiveness at a national scale. Nowadays, data
are easily accessed to the staff and the speed of report delivery for the projects has tripled from
the quarterly to monthly and saved thousands of hours.
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Evaluating how organizations could use business intelligence to extend their target audience.
There are the many business intelligence tools and technology, which can be used by organization to
extend their target audience, which are given below.
1. Identifying and focusing on higher-profit or dependable customers: In any organization,
there are some best customer who places the biggest order. With business intelligence software,
we have to rank our customer based on the frequency, and value of purchase to determine
exactly who the customer are. In addition, once we build accurate profile that high profile or
dependable customer and we can better focus our marketing efforts to target similar prospects.
Once we have arranged customer from high to low value, we can target our customer
acquisition initiatives by focusing our customer acquisition efforts around the attributes
common to high-level customers. Second, to extend the audience and the customers, we need
to put forward the big initiatives for increasing the number of customers. (SFGNETWORK,
2017)
2. Increasing the accuracy of forecasts: Information forecasting for future by using different
business intelligence tools such as different software and tools like dashboard, graphs can help
in prediction in future for better performance and to improve the rooted weakness in the
organization. If the accuracy of the forecasts is well maintained, then there will be improvement
in any organization and ultimately audience and customer have belief with organization and
help to extend the audience and users.
3. Increasing Productivity: Organizational productivity is also the main overlooked elements in
the businesses. With the business intelligence tools, we can input the quantitative goals such
as sales or target delivery time and tracking it daily progress on a daily basis. From these daily
monitoring of activity, can receive the right feedback from the customers via software. From
the right information, organization can make improve and increase in our productivity and
ultimately with increasing productivity leads increase in attraction towards the organization
and ultimately organization extend their audience.
4. With better visualization of data and dashboard: The main aim of any organization is to
satisfy the customer and to gain some benefits for it. As for better decision and for better
business processes there needs to have a better visualization of data and understandable
dashboard and with the better visualization of data there needs to better execution of the plans
and policies and ultimately customer will be satisfy with organization and there will be the
great image of organization and it helps to extend the actual audiences.
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Conclusion and Recommendation:This report is focused on introduction of the business intelligence,
illustration of concept with reference to specific examples and listed tools and techniques associated
with the business intelligence and design of a business intelligence tools, programs and apps for the
organization which is developed in software called AppSheet that performed specific task to support
problem solving or decision making for our organization or ensuring the design is user friendly and
has a functional ability, or concluding paragraphs to provide critical review of the design. Moreover,
discussed contribution of business intelligence tools such as data visualization, dashboards, graphs,
pivot table to make effective decision on our organization and explored the legal issues, which are
privacy, term of service agreement etc. involved in the secure exploitation of business intelligence
tools. In addition, conducted a small survey to identify specific examples of organizations such as in
HelloFresh, Coca-Cola Bottling Company (CCBC) and Chipotle that have used business intelligence
tools to enhance or improve their operations and last evaluated how organizations could use business
intelligence to extend their target audience and customers. From this report, readers or researcher will
get different knowledge of business intelligence, business intelligence tools and various examples
associated with business intelligence and they can develop their own business intelligence tools like
as made in the scenario and I think readers will gain different knowledge and they can do better than
this for more effective results.
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References
Chron, 2019. Chron.com. [Online]
Available at: https://smallbusiness.chron.com/strategic-project-10440.html
[Accessed 22 May 2019].
Greguras, F., 2017. Water Online. [Online]
Available at: https://www.wateronline.com/doc/legal-issues-in-big-data-0001
[Accessed 26 July 2019].
Heinze, J., 2014. Better Buys. [Online]
Available at: https://www.betterbuys.com/bi/history-of-business-intelligence/
[Accessed 21 July 2019].
Pratt, M. K., 2017. CIO. [Online]
Available at: https://www.cio.com/article/2439504/business-intelligence-definition-andsolutions.html
[Accessed 21 July 2019].
Schlegel, K., 2008. Semantics Scholars. [Online]
Available at: https://pdfs.semanticscholar.org/0824/5f35f7994e9909553d8e7671b6a9bdc33a3e.pdf
[Accessed 26 July 2019].
Sharen, C., 2015. projecteve.com. [Online]
Available at: https://projecteve.com/strategic-or-tactical-whats-the-difference/
Tableau, 2019. Tableau. [Online]
Available at: https://www.tableau.com/learn/articles/business-intelligence-examples
[Accessed 11 August 2019].
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Overall Conclusion of Part 3
From the above Part 3, I have prepared the report by introducing the business intelligence, illustration
of concept with reference to specific examples and listed tools and techniques associated with the
business intelligence and design of a business intelligence tools, programs and apps for the
organization which is developed in software called AppSheet that performed specific task to support
problem solving or decision making for our organization or ensuring the design is user friendly and
has a functional ability, or concluding paragraphs to provide critical review of the design. Moreover,
I have discussed contribution of business intelligence tools such as data visualization, dashboards,
graphs, pivot table to make effective decision on our organization and explored the legal issues, which
are privacy, term of service agreement etc. involved in the secure exploitation of business intelligence
tools. In addition, conducted a small survey to identify specific examples of organizations such as in
HelloFresh, Coca-Cola Bottling Company (CCBC) and Chipotle that have used business intelligence
tools to enhance or improve their operations and last evaluated how organizations could use business
intelligence to extend their target audience and customers.
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Works Cited
Anon., 2019. chris-kimble. [Online]
Available at: http://www.chris-kimble.com/Courses/World_Med_MBA/Types-of-InformationSystem.html
[Accessed 24 May 2019].
Chron, 2019. Chron.com. [Online]
Available at: https://smallbusiness.chron.com/strategic-project-10440.html
[Accessed 22 May 2019].
Cook, S., 2016. Turbo Future. [Online]
Available at: https://turbofuture.com/computers/Advantages-of-Microsoft-Excel
[Accessed 11 August 2019].
Dictionary, B., 2019. Business Dictionary. [Online]
Available at: http://www.businessdictionary.com/definition/support-process.html
[Accessed 11 August 2019].
Entrance, 2013. Entrance. [Online]
Available at: https://www.entranceconsulting.com/2013/10/22/business-intelligence-decisionmaking/
[Accessed 11 August 2019].
Greguras, F., 2017. Water Online. [Online]
Available at: https://www.wateronline.com/doc/legal-issues-in-big-data-0001
[Accessed 26 July 2019].
Heinze, J., 2014. Better Buys. [Online]
Available at: https://www.betterbuys.com/bi/history-of-business-intelligence/
[Accessed 21 July 2019].
Islam, M., 2019. academia. [Online]
Available at:
https://www.academia.edu/24704527/Management_Information_system_Time_and_Attendance_Sys
tem
[Accessed 24 May 2019].
Manish Dhakal (HND / Third Semester)
46
Business Intelligence 2019
Li, Y., 2018. Data Mining. [Online]
Available at: https://www.ccsc.org/southcentral/EJournal/2010/Papers/Yihao%20final%20paper%20CCSC%20for%20submission.pdf
[Accessed 12 May 2019].
MBA, 2019. MBA Knowledge Base. [Online]
Available at: https://www.mbaknol.com/information-systems-management/different-types-ofinformation-systems-used-in-different-levels-of-management/
[Accessed 24 May 2019].
McKnight, W., 2007. Search Business Analytics. [Online]
Available at: legal issues involved in the secure exploitation of business intelligence tools.
[Accessed 11 August 2019].
Microsoft, 2019. Microsoft. [Online]
Available at: https://support.office.com/en-ie/article/create-a-pivottable-to-analyze-worksheet-dataa9a84538-bfe9-40a9-a8e9-f99134456576
[Accessed 23 May 2019].
Pratt, M. K., 2017. CIO. [Online]
Available at: https://www.cio.com/article/2439504/business-intelligence-definition-andsolutions.html
[Accessed 21 July 2019].
Rouse, 2019. TechTarget. [Online]
Available at: https://searchstorage.techtarget.com/definition/storage
[Accessed 23 May 2019].
Schlegel, K., 2008. Semantics Scholars. [Online]
Available at: https://pdfs.semanticscholar.org/0824/5f35f7994e9909553d8e7671b6a9bdc33a3e.pdf
[Accessed 26 July 2019].
SFGNETWORK, 2017. SFGNETWORK. [Online]
Available at: https://www.sfgnetwork.com/blog/business-intelligence/how-to-identify-the-targetaudience-for-your-subscription-company/
[Accessed 11 August 2019].
Manish Dhakal (HND / Third Semester)
47
Business Intelligence 2019
Sharen, C., 2015. projecteve.com. [Online]
Available at: https://projecteve.com/strategic-or-tactical-whats-the-difference/
SISENSE, 2019. Sisense. [Online]
Available at: https://www.sisense.com/glossary/ad-hoc-analysis/
[Accessed 24 May 2019].
Tableau, 2019. Tableau. [Online]
Available at: https://www.tableau.com/learn/articles/business-intelligence-examples
[Accessed 11 August 2019].
Technopedia, 2019. Technopedia. [Online]
Available at: https://www.techopedia.com/definition/5430/microsoft-excel
[Accessed 11 August 2019].
THELWELL, R., 2019. Matillion. [Online]
Available at: https://www.matillion.com/insights/5-biggest-business-intelligence-challenges/
[Accessed 11 August 2019].
University, C., 2018. Maximizing the visibility and impact of your published research. [Online]
Available at: https://www.concordia.ca/library/guides/accountancy/impact.html
[Accessed 23 Jan 2019].
WallStreetMojo, 2019. WallStreetMojo. [Online]
Available at: https://www.wallstreetmojo.com/dashboard-in-excel/
[Accessed 23 May May].
workbreakdownstructure.com, 2019. workbreakdownstructure.com. [Online]
Available at: https://www.workbreakdownstructure.com/
[Accessed 12 jan 2019].
Manish Dhakal (HND / Third Semester)
48
Business Intelligence 2019
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