Business Intelligence ASM 2, Study Guides, Projects, Research of Business Informatics

Business Intelligence ASM 2 2023

Typology: Study Guides, Projects, Research

2022/2023

Uploaded on 05/24/2023

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ASSIGNMENT 2 FRONT SHEET
Qualification
BTEC Level 5 HND Diploma in Computing
Unit number and title
Unit 14: Business Intelligence
Submission date
8/3/2022
Date Received 1st submission
Re-submission Date
Date Received 2nd submission
Student Name
Nguyen Vu Duc
Student ID
GDH190747
Class
GCH1001
Assessor name
Doan Trung Tung
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
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ASSIGNMENT 2 FRONT SHEET Qualification BTEC Level 5 HND Diploma in Computing Unit number and title Unit 14: Business Intelligence Submission date 8/3/2022 Date Received 1st submission Re-submission Date Date Received 2nd submission Student Name Nguyen Vu Duc Student ID GDH Class GCH1001 Assessor name Doan Trung Tung 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 P 3 P 4 P5 P6 M3 M4 D3 D

Summative Feedback:Resubmission Feedback: Grade: Assessor Signature: Date: IV Signature:

What is BI?

Business Intelligence (BI) is a technology-driven process that involves the collection, analysis, and presentation of data to support business decision- making. BI helps organizations to transform raw data into meaningful and useful information that can be used to identify opportunities, solve problems, and make informed decisions. It allows organizations to gain insights into their operations, market trends, customer behavior, and other key areas of their business, enabling them to make better decisions and drive growth and profitability. Overall, BI is a critical tool for modern businesses looking to stay competitive in an increasingly data-driven world.

Diễn thuyết trước đám đông 101 REAL LIFE EXAMPLE OF UBER Scope: The scope of this case study is the rental cab market, particularly the success story of Uber. The case study highlights how Uber leverages real-time data to make business decisions. Problem : The problem faced by rental cab companies is to set a fair price for their services. The price should be competitive enough to attract customers, but it should also be profitable for the company. Additionally, the companies need to ensure that they have enough drivers available to meet the demand. Solution : Uber's solution to this problem is to leverage real-time data on traffic and demand for cabs to set fair prices. By analyzing this data, Uber can identify peak hours when the demand for cabs is high, and set higher fares during those times. This encourages more drivers to be available during peak hours, ensuring that the demand is met. Additionally, the higher fares during peak hours generate more revenue for the company. Result : Uber's business intelligence strategy has been successful in making the company a market leader in the rental cab industry. By leveraging real-time data, Uber can make informed decisions about pricing and driver availability, which in turn leads to higher profits. The ability to analyze data and make informed decisions has helped Uber set a benchmark for other companies in the industry to follow.

BI TOOLS Tableau is a powerful data visualization tool that allows users to create interactive dashboards, charts, and graphs. It offers a drag-and-drop interface and can connect to a wide range of data sources TABLEAU

BI TECHNIQUES Data mining is the process of discovering patterns and insights from large datasets. This technique involves using statistical and machine learning algorithms to identify correlations, associations, and anomalies in data. Data mining

BI TECHNIQUES Data cleaning is the process of identifying and correcting or removing errors, inconsistencies, and inaccuracies in datasets. It is an essential step in the data analysis process because raw data is often incomplete, inconsistent, and contains errors that can lead to incorrect conclusions if not corrected Data cleaning

BI TOOLS Google Colab is a cloud-based platform that allows users to run Python code in a Jupyter Notebook-style environment. It is a powerful and flexible tool for BI analysis, providing users with the ability to analyze and visualize data, build predictive models, and collaborate with team members in real-time Google colab

Raw game recommendation dataset

Cleaning dataset

Raw steam DLC and game dataset

Cleaning steam DLC and game dataset

3. Dashboard Chart 1:

Chart 2: