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ASSIGNMENT 3 FRONT SHEET
Qualification
BTEC Level 5 HND Diploma in Computing
Unit number and title
Unit 14: Business Intelligence
Submission date
19/08/2023
Date Received 1st submission
Re-submission Date
Date Received 2nd submission
Student Name
Nguyen Hai Anh
Student ID
BH00125
Class
IT0502
Assessor name
Nguyen Thai Cuong
Student declaration
I certify that the assignment submission is entirely my own work and I fully understand the consequences of plagiarism. I understand that
making a false declaration is a form of malpractice.
Student’s signature
Grading grid
P5
P6
M4
D4
Anh
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❒ Summative Feedback:
Grade:
IV Signature:
❒ Resubmission Feedback:
Assessor Signature:
Date:
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Table Of Contents
A. INTRODUCTION............................................................................................................................................................................................................ 4
B. CONTENT. ....................................................................................................................................................................................................................... 4
I. How business intelligence tools can contribute to effective decision-making.(P5) ...................................................................................................... 4
1. Business intelligence tools and technology. ............................................................................................................................................................. 4
2. How business intelligence tools can contribute to effective decision-making. ................................................................................................... 10
II. The legal issues involved in the secure exploitation of business intelligence tools.(P6) ........................................................................................... 11
1. Maintain privacy of clients. .................................................................................................................................................................................... 11
2. Privacy. .................................................................................................................................................................................................................... 11
3. Digital Ownership. .................................................................................................................................................................................................. 11
4. Data Gathering. ....................................................................................................................................................................................................... 12
5. Security Liability. .................................................................................................................................................................................................... 12
6. An example about the legal issues involved in the secure exploitation of business intelligence tools .............................................................. 12
C. CONCLUSION............................................................................................................................................................................................................... 14
D. REFERENCES. .............................................................................................................................................................................................................. 14
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A. INTRODUCTION.
In the ever-changing landscape of modern business, the ability to make well-informed choices stands as a crucial pillar for achieving
organizational triumph. Technology's emergence has ushered in a potent companion for this endeavor: Business Intelligence (BI) tools.
These tools, comprising an array of software and applications, have fundamentally transformed the manner in which enterprises amass,
dissect, and construe data to facilitate adept decision-making.
This report delves into the multifaceted realm of business intelligence tools, exploring their significant contributions to enhancing
decision-making processes. We will examine the advantages and disadvantages of these tools, shedding light on their applicability across
diverse business contexts. Additionally, this report will delve into the legal intricacies associated with the secure exploitation of BI tools,
shedding light on the international regulations governing their use, the specific legal framework in Viet Nam, and a set of individual
rules that must be followed.
B. CONTENT.
I. How business intelligence tools can contribute to effective decision-making.(P5)
- Business intelligence is all about data and data analysis. The business intelligence tools help to collect and analyze the
data in order to make better decisions for the future. Companies can identify business trends (both negative and positive),
communicating the findings to parties their relevance and gain actionable insights to make informed decisions. When it comes to
staying ahead of the competition, these tools can also help companies stay afloat by providing data to predict market trends, uncover
new opportunities, and develop disruptive strategies. One of the best examples of these business tools is Tableau and MS power BI
which is a very effective software being used in both management and IT fields.
1. Business intelligence tools and technology.
1.1. Tableau.
- Tableau is a software that supports data analysis and visualization (Data Visualization), widely used in the
Business Intelligence industry. This software aggregates data like Excel but at a higher level, quickly and efficiently presenting the
results in the form of images and graphs.
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- Tableau is an enterprise data management solution, you do not need knowledge of handling data in the form of
graphics, programming knowledge, and general expertise to still get the necessary data from the data source.
- The data analysis process takes place quickly, without interruption and regularly updated as soon as there is a
change to the original data.
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- Tableau supports all types of users, by installing on your PC, you can quickly build a perfect data-driven
analysis environment, beautifully displayed and intuitive.
Figure 1 Tableau
- Tableau benefits:
• Data visualization
o Tableau's data visualization makes complex calculations and large data sets interpreted in a way that's incredibly simple and
easy to understand.
o With technologies and applications that help with complex calculations, data aggregation, and dashboards, Tableau can create
beautiful visualizations and provide more detailed information instead of tables. "Dry" like Excel.
• Create Dashboard
o Users can use drag and drop functionality to quickly create interactive visuals. Tableau's user interface can be customized with
variations in color, design, chart type, and more.
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o At the same time, Tableau can help users create highly applicable images or charts based on the best and most effective data
visualization methods.
• Easy to use
o Tableau offers a variety of visual options to enhance the user experience. In addition, Tableau is very easy to use compared to
other applications such as Python, Business Objects, and Domo. Users without specialized knowledge of programming can
still easily learn and use Tableau in just a short time.
• Tableau can handle large volumes of data easily
o Tableau can handle millions of rows/columns of data easily. Different types of visualizations can be quickly created based on
large amounts of data without affecting dashboard performance.
o From databases - on-premise or cloud-based databases, can be easily connected and analyzed with Tableau. Plus, Tableau has
options that allow users to connect to data sources direct data. This data can then be automatically refreshed to capture new
information and update Tableau in real time.
• Powerful Dashboard – support mobile use
o Tableau dashboards feature customizable reports specific to certain devices like mobile phones or laptops. Tableau
automatically recognizes the device used by the user to view the report and makes adjustments to ensure that the right report is
sent to the correct device.
1.2. MS Power BI.
- Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated
sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet, or a collection of
cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources, visualize and discover
what's important, and share that with anyone or everyone you want.
- For example, you might primarily use the Power BI service to view reports and dashboards. Your numbercrunching, business-report-creating coworker might make extensive use of Power BI Desktop or Power BI Report Builder to create
reports, then publish those reports to the Power BI service, where you view them. Another coworker, in sales, might mainly use the
Power BI phone app to monitor progress on sales quotas, and to drill into new sales lead details.
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Figure 2 Power BI
- MS Power BI benefits:
• The power to transform your business
o The user acquires knowledge on how to format or shape any piece of information in a certain way. The trace editor, one of the
most powerful and efficient features of Power BI Desktop, allows to change many customizations such as changing data types,
transforming by adding new columns, splitting and merging, adding query. This feature helps to bring in-place conversions that
efficiently format and visualize reports.
• Strong interaction
o Interactions between reports can be clearly seen after adding visualizations. To see how the data will be visualized, users just
need to click on a bar on the chart. Similarly, to view the values of the location chart, list and KPI simply select a location in
the map image. If you don't want to provide filter-based options in the chart, you can turn off the filter option in Power BI. As a
result, Power BI offers enhanced clarity and clarity on easy-to-understand layouts, allowing you to work on your reports with
maximum time savings.
• Advanced measures
o Data Analysis Expressions (or DAX) is a formula language used in Power BI. It works very similarly to Excel, but it removes
the complexity of reporting with Excel. So with DAX, you can create your own metrics (e.g. last quarter's revenue...) in Power
BI with much easier and faster access. Power Bi provides an advanced feature (Quick measures) to create complex DAX
expressions like monthly growth, percentage difference, etc.
• Extract hidden information
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o The 'Insight' option in Power BI allows you to examine hidden information on your data. The multiple charts generated in the
report are capable of providing more powerful and effective indicators. To review helpful insights, you can pin the
visualization to your dashboard. You can easily spot the difference in figures when you want to compare two reports like
quarterly revenue. Therefore, it also helps businesses identify trends and save costs.
• Great storage capacity
o Imagine having millions of data sources in the form of multiple worksheets or Excel files. Spreadsheets/flat books with
millions of rows won't open or load easily on a typical computer. Even if the file can be opened on a computer, you will face
problems in generating important reporting information from that data. However, Power BI has the bandwidth to load and
transform charts of millions of rows in a shorter amount of time. Not only that, Power BI is also capable of compressing files
without losing its quality and performance. Example: The total storage of these files is 420MB, it can be reduced to 50MB
after uploading to Power BI.
1.3. Python.
- Python is a powerful, high-level, object-oriented programming language, created by Guido van Rossum. It is
easy to learn and is emerging as one of the best introductory programming languages for first-timers to programming languages.
- Python is completely dynamically typed and uses automatic memory allocation. Python has powerful high-level
data structures and a simple yet effective approach to object-oriented programming. Python's command syntax is a huge plus as its
clarity, ease of understanding, and flexible typing make it quickly an ideal language for scripting and application development in a
wide variety of fields, in most areas all platforms.
Figure 3 Python
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- Python benefits:
•
•
•
•
It is a language with clear forms, clear structure, and concise syntax
Available on all operating system platforms from UNIX, MS – DOS, Mac OS, Windows and Linix and other OS in the Unix family.
Strong compatibility with Unix, hardware, thirt-party software with a huge number of libraries (400 million users)
Python with extremely fast processing speed, python can create programs from very small scripts to extremely large software like Biender
3D.
2. How business intelligence tools can contribute to effective decision-making.
- Business intelligence (BI) software tools have become increasingly essential for enterprises to gain insights, stay
competitive, and maximize their growth. BI refers to the process of extracting and analyzing insights and analytics from raw data to
ensure better business decision-making. Firms of all sizes must be able to effectively dissect, monitor, manage, and visualize their data
to create appropriate business strategies and make informed decisions.
- Some form of business intelligence has always been around, stemming from manual spreadsheets and simple
visualizations. As applications grew more complex, connecting databases and extracting summaries became increasingly challenging.
As a result, business users began demanding that BI tools respond to changing markets and technologies. Eventually, firms started
looking for standalone BI tools that were vendor-agnostic and compatible with the complex and fragmented enterprise landscape.
- Traditionally, BI has always been used for batch applications using SQL. As time progressed, business users
migrated towards streaming and real-time applications. These support real-time query mechanisms and streaming dashboarding
capabilities. Today, the latest category of BI tools supports both streaming applications and natural language processing (NLP).
- The benefits of BI tools include:
•
•
•
•
•
•
•
•
Fast reporting and analysis
Useful business insights
Increase customer and stakeholder satisfaction
Market trends past, present and future
Competitive analysis
Increase operational efficiency
Increase revenue
Smarter, better decisions
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- Sophisticated BI is extremely beneficial for all areas of an enterprise, including the financial services industry.
There are a variety of BI applications (trading, lending, retail, investment, etc) including:
•
•
•
Historical sales data: Identifying trends and offering insights into the actual sales performance of a business.
Client satisfaction rates: Identifying what is and is not working with past and current clients.
Financial performance: Identifying metrics around the financial performance of a business, such as top-line growth, expenses,
and how financial gains/losses are trending over time.
II. The legal issues involved in the secure exploitation of business intelligence tools.(P6)
- Business intelligence (BI) has long been a valuable resource for law firms, largely serving the functions of library and research. BI
has traditionally been used to catch a moment in time and disseminate static information on various subjects such as clients, industries, and
attorneys through bundled publications, dashboard-based information presentations, and data processing. The current position of business
intelligence (BI) ranges from showing industry data to making choices, evaluating historical results, and monitoring goals; but, as law firms' and
businesses' demands become more nuanced, the challenge is changing. When we conduct e-commerce activity, we note that the industry is quickly
evolving, and businesses are scrambling to keep up. When planning to market products or services online, a tourism company owner can keep the
regulatory implications of e-commerce in mind. The following are the legal considerations present with the safe use of business intelligence tools:
1. Maintain privacy of clients.
- Customer privacy is always a top priority. In the 4.0 era, issues related to customer privacy are always concerned, innovated
and maintained. Currently, applications or portals are storing extremely large amounts of customer information, and customers are increasingly
using electronic services.
2. Privacy.
- In the 4.0 era, customer information is stored a lot when customers use electronic services. It is largely due to the usage habits
of customers when always leaving email, phone number, and personal information just to register and view a website or use a certain application.
There are cases where customers click on unsecured links and then their accounts are lost or used for malicious purposes or more frightening than
being blackmailed. Customers always demand that their privacy be monitored. As the tech community has pointed out, privacy concerns can easily
escalate downhill, gradually eroding one's privacy. People need to learn more about privacy policies.
3. Digital Ownership.
- Digital media has allowed information to flow more freely than ever before. This comes with a legal and ethical response
against this exchange of opinions. Sure, you can use the Internet, but you can't own anything on it. Music? Copied. Your search history? Owned by
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Google. Your connection with friends? Owned by Facebook. Your opinion? Owned by Twitter and moderated by Twitter. Even PayPal, which is
supposedly designed to give you a free marketplace in which you can buy, sell, and own anything, has seen it self-reserved the right to kick you off
the platform. Their money, confiscate all your money or censor your transactions... Legal concepts like copyright don't keep up with modern times.
4. Data Gathering.
- Everyone knows that their personal data will be tracked at certain times. This worries all of us and whether customers or
employees of a certain company are aware that their data is being leaked out easily or being viewed by others without knowing it. no one can
know. The question is constantly asked that "customers can see their data hourly, monthly, yearly".
5. Security Liability.
- Information on the Internet has now become a uniquely valuable asset for individuals, organizations and even nations. There
are many individuals and organizations whose net worth is much greater than other tangible assets. Businesses will not be able to survive and
thrive if information or information systems are stolen or destroyed. Companies use BI to collect and analyze data to improve their performance,
so it becomes important to access and maintain secure information. Even so, on the one hand the development of technology makes it easy to
access information freely from various sources, on the other hand, it is necessary to develop a system that can secure that information from being
used by outsider’s illegal use.
6. An example about the legal issues involved in the secure exploitation of business intelligence tools
-In a financial institution, an employee with access to sensitive customer financial data exploited business intelligence (BI)
tools for personal gain. This employee extracted confidential information including account balances, transaction histories, and investment
portfolios of high-net-worth clients. Subsequently, the employee used this data to engage in insider trading, making unauthorized investments
based on non-public information.
Violation of Rules:
6.1. Insider Trading: The employee engaged in illegal insider trading by using privileged financial information obtained from
the BI tools to make personal investments.
6.2. Breach of Confidentiality: By accessing and misusing client financial data, the employee breached the institution's
confidentiality policies and violated the trust of clients.
6.3. Abuse of Authority: The employee misused their access to the BI tools for personal financial gain, abusing their position
within the company.
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Consequences:
6.4 Legal Ramifications: The employee's actions constitute a serious violation of securities laws and regulations. Legal
authorities could pursue criminal charges, leading to penalties, fines, and potential imprisonment.
6.5 Reputation Damage: The financial institution's reputation could be severely tarnished due to its association with the
employee's unethical actions. Clients and investors may lose trust in the institution's ability to protect their sensitive financial data.
6.6 Financial Losses: The institution might face financial losses if clients affected by the insider trading choose to pursue legal
action against the company for not preventing the misuse of their data.
6.7. Regulatory Scrutiny: Regulatory bodies overseeing financial markets and data protection could launch investigations into
the institution's data security practices and oversight measures.
6.8. Loss of Clients: Clients who value the security of their financial information may choose to switch to other institutions,
fearing further breaches or unauthorized use.
6.9. Internal Repercussions: The incident could lead to internal reviews, disciplinary actions, or changes in the institution's
policies and procedures to prevent future breaches.
This example highlights the critical importance of maintaining the integrity and security of data within organizations. It emphasizes that BI tools,
while powerful for decision-making, must be used responsibly and ethically to prevent legal violations, protect customer trust, and preserve the
reputation of the company.
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C. CONCLUSION.
- In the assignment, I revisited BI tools and pointed out why BI tools influence business development decisions. In addition, I also talk about
some of the issues involved in the secure exploitation of business intelligence tools.
D. REFERENCES.
Advantages & disadvantages of tableau (2023) www.javatpoint.com.
Available at: https://www.javatpoint.com/advantages-and-disadvantages-of-tableau (Accessed: 12 August 2023).
Vietnam personal data protection decree in effect from 1 July 2023 (2023) Allen & Gledhill.
Available at: https://www.allenandgledhill.com/vn/perspectives/articles/23649/vnkh-personal-data-protection-decree-in-effect-from-1july2023 (Accessed: 12 August 2023).
Power BI - disadvantages and limitations (2023) GeeksforGeeks.
Available at: https://www.geeksforgeeks.org/power-bi-disadvantages-and-limitations/ (Accessed: 12 August 2023).
Gartner, Inc. (2023) Microstrategy reviews, Ratings & Features 2023: Gartner Peer insights, Gartner.
Available at: https://www.gartner.com/reviews/market/data-preparation-tools/vendor/microstrategy/product/microstrategy (Accessed: 12
August 2023).
Looker reviews 2023 (2023) capterra.
Available at: https://www.capterra.com/p/169053/Looker/reviews/ (Accessed: 12 August 2023).
Data Privacy and security in Business Intelligence and Analytics (2017).
Available at: https://upcommons.upc.edu/bitstream/handle/2117/117033/126672.pdf?sequence=1 (Accessed: 12 August 2023).
m0p1n10n (2023) Top 15 business intelligence tools (BI Tools), Mopinion.
Available at: https://mopinion.com/business-intelligence-bi-tools-overview/ (Accessed: 12 August 2023).
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