1641 assignment 2 (pass)

35 36 1
1641 assignment 2 (pass)

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

Thông tin tài liệu

1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) 1641 assignment 2 (pass) greenwich

Higher Nationals in Computing Unit 06: Business Intelligence ASSIGNMENT Assessor name: NGUYEN XUAN SAM Learner’s name: Đào Vĩnh Khang ID: GCS200222 Class: GCS0905B Subject code: 1641 Assignment due: 1/ / 2023 Assignment submitted: 1/ /2023 Assessment Brief Student Name/ID Number Unit Number and Title 14: Business Intelligence Academic Year 2023 Unit Tutor Assignment Title Assignment 2: Apply BI tools & techniques and their impact Issue Date Submission Date IV Name & Date Submission Format Part I: Project submission This should be a zip / rar folder of your project, including all necessary files to run your project There should be a link to your Tableau work on Tableau Public cloud Part II: The submission is in the form of a group written report This should be written in a concise, formal business style using single spacing and font size 12 You are required to make use of headings, paragraphs and subsections as appropriate, and all work must be supported with research and referenced using the Harvard referencing system Please also provide a bibliography using the Harvard referencing system Part III: Team needs to present their point of view about how business intelligence tools can contribute to effective decision-making as well as the legal issues involved in exploiting user data for business intelligence You may need to research for specific examples of organizations that use BI tools to enhance or improve their business and evaluate how they can use BI tools for extend their target audience and make them more competitive within the market Unit Learning Outcomes LO3 Demonstrate the use of business intelligence tools and technologies Assignment Brief (Continued from previous scenario) Your next task is to demonstrate to the board of directors about the ability of applying business intelligence in the company's current business processes To demonstrate BI, you need to prepare a presentation about BI and related tools & techniques and a demonstration on real company dataset For the presentation, you need: - Explain general concept of what is BI - Introduction to some tools / techniques for BI and their application in general For the demonstration, you need: - A (some) data set(s) extracted from the company's business processes Explain the dataset - Show how you pre-process data for later analysis, explain each step and it purpose - Design dashboards to show your analysis on pre-processed data Explain clearly purpose of dashboards and charts Suggestions should be made after analysis During the demonstration, you need collect feed-back and comments from users to review how well your dashboards design meet user or business requirement and what customization needed for future use Team needs to present their point of view about how business intelligence tools can contribute to effective decision-making as well as the legal issues involved in exploiting user data for business intelligence You may need to research for specific examples of organizations that use BI tools to enhance or improve their business and evaluate how they can use BI tools for extend their target audience and make them more competitive within the market To summary, you need to submit a report in PDF includes parts: your presentation, result of demonstration and review of user feedback, point of view on BI contribution and legal issues Learning Outcomes and Assessment Criteria Pass Merit Distinction LO3 Demonstrate the use of business intelligence tools and technologies P3 Determine, with examples, what business intelligence is and the tools and techniques associated with it M3 Customise the design to ensure that it is user friendly and has a functional interface D3 Provide a critical review of the design in terms of how it meets a specific user or business requirement and identify what customisation has been integrated into the design P4 Design a business intelligence tool, application or interface that can perform a specific task to support problemsolving or decision-making at an advanced level LO4 Discuss the impact of business intelligence tools and technologies for effective decision-making purposes and the legal/regulatory context in which they are used P5 Discuss how business intelligence tools can contribute to effective decision-making P6 Explore the legal issues involved in the secure exploitation of business intelligence tools M4 Conduct research to identify specific examples of organisations that have used business intelligence tools to enhance or improve operations D4 Evaluate how organisations could use business intelligence to extend their target audience and make them more competitive within the market, taking security legislation into consideration ASSIGNMENT FRONT SHEET Qualification BTEC Level HND Diploma in Computing Unit number and title Unit 14: Business Intelligence Submission date June 15th, 2023 Re-submission Date Date Received 1st submission Date Received 2nd submission Student Name Đào Vĩnh Khang Student ID GCS200222 Class GCS0905B Assessor name SAMNX 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 P3 P4 M3 D3 Summative Feedback: Grade: IV Signature: Resubmission Feedback: Assessor Signature: Date: Table of content P3 DETERMINE, WITH EXAMPLES, WHAT BUSINESS INTELLIGENCE IS AND THE TOOLS AND TECHNIQUES ASSOCIATED WITH IT 1.1What is Business Intelligence? 10 1.2How Business Intelligence systems are implemented? .11 1.3Example about Business Intelligence 12 1.3.1 Example 1: 12 1.4 Tools and Techniques 13 P4 DESIGN A BUSINESS INTELLIGENCE TOOL, APPLICATION OR INTERFACE THAT CAN PERFORM A SPECIFIC TASK TO SUPPORT PROBLEM SOLVING OR DECISION-MAKING AT AN ADVANCE LEVEL 18 P5 Discuss how business intelligence tools can contribute to effective decision-making .21 P6 Explore the legal issues involved in the secure exploitation of business intelligence tools 28 10 4.1 Reference 34 Figure 1: BI (Business Intelligence) is a set of processes 11 Figure Example Business Intelligence 12 Figure SAP Business Intelligence 14 Figure MicroStrategy is a business intelligence tool 15 Figure Datapine is an all-in-one BI 16 Figure CHART PIE DESIGN A BUSINESS INTELLIGENCE TOOL 18 Figure Tableau Category, Ship Mode, Profit and Sales .19 Figure Tableau First Class, Same Day, Second Class and Standard Class 20 Figure Tableau 405,461 and also the sale is about 2,840,846 21 Figure 10 Data Analysis 22 Figure 11 Visualization 23 Figure 12 Forecasting 24 Figure 13 Collaboration 25 Figure 14 Continuous .26 Figure 15 Tableau Store Technology .27 Figure 16 Data Privacy .29 Figure 17 Data security 30 Figure 18 Intellectual .31 Figure 19 Compliance 32 Figure 20 Transparency 33 ASSIGNMENT P3 DETERMINE, WITH EXAMPLES, WHAT BUSINESS INTELLIGENCE IS AND THE TOOLS AND TECHNIQUES ASSOCIATED WITH IT 1.1 What is Business Intelligence? BI (Business Intelligence) is a set of processes, architectures, and technologies that convert raw data into meaningful information that drives profitable business actions It is a suite of software and services to transform data into actionable intelligence and knowledge BI has a direct impact on organization's strategic, tactical, and operational business decisions BI supports fact-based decision making using historical data rather than assumptions and gut feeling Figure Tableau 405,461 and also the sale is about 2,840,846 P5 Discuss how business intelligence tools can contribute to effective decision-making Business intelligence tools are designed to analyze and present data in a way that helps organizations make more informed decisions By providing real-time insights into a company's operations, these tools can help managers identify trends, spot problems, and develop strategies to improve performance Here are some ways business intelligence tools can contribute to effective decision-making: Data analysis: Business intelligence tools provide the capability to analyze large volumes of data quickly and efficiently This enables managers to identify patterns and trends that would be difficult or impossible to discern manually By providing real-time data, business intelligence tools can help managers make informed decisions based on up-to-date information Figure 10 Data Analysis Visualization: Business intelligence tools often use visualizations to represent complex data in a more digestible way This can help managers understand the relationships between different data points and identify areas for improvement For example, a sales dashboard may use a heat map to show which regions are generating the most revenue, or a bar chart to show which products are selling the most Figure 11 Visualization Forecasting: Business intelligence tools can help managers make more accurate predictions about future trends By analyzing historical data, these tools can identify patterns and trends that can be used to predict future performance This can be particularly useful in areas like sales forecasting or inventory management, where accurate predictions are crucial to business success Figure 12 Forecasting Collaboration: Business intelligence tools can facilitate collaboration and communication among team members By providing a centralized platform for data analysis and reporting, these tools can help ensure that everyone is working from the same data set and making decisions based on the same information Figure 13 Collaboration Continuous improvement: Business intelligence tools can help managers identify areas for improvement and track progress over time By setting targets and monitoring performance, managers can identify areas where they need to make changes to improve efficiency, reduce costs, or increase revenue Figure 14 Continuous Business intelligence tools like Tableau can greatly contribute to the efficient decision making of companies Using powerful data analytics and visualization capabilities, these tools make it easy for managers and salespeople to access and understand complex business-related information of company Figure 15 Tableau Store Technology The interesting thing about this chart is that it shows the growth of each product's sales over time The chart shows that the Laptop product had the highest sales in 2019, but sales of this product gradually decreased in the following years and was replaced by the PS5 product, with sales increasing gradually from 2019 to 2021 Steamdoc and SmartPhone products also tend to grow significantly over the years, while product E has been declining since 2020 To add to that, this chart shows the big difference in sales between products Laptop and PS5 products have much larger sales than other products, while ipad products have much lower sales To conclude, this Tableau chart gives users a comprehensive view of the sales situation of each product in the company over time This information can help managers and salespeople better understand the performance of their products and make informed business decisions P6 Explore the legal issues involved in the secure exploitation of business intelligence tools The use of business intelligence tools can raise a number of legal issues related to data privacy, security, and intellectual property Here are some of the key legal issues involved in the secure exploitation of business intelligence tools: Data Privacy: Business intelligence tools often require access to large amounts of data in order to provide insights and analysis This can raise concerns about data privacy, particularly when sensitive information is involved Organizations must ensure that they are complying with relevant data privacy laws and regulations, such as the General Data Protection Regulation (GDPR) in the European Union or the California Consumer Privacy Act (CCPA) in the United States Figure 16 Data Privacy Data Security: Business intelligence tools must be designed with robust security measures to protect against data breaches and unauthorized access This may involve implementing encryption, access controls, and other security measures to ensure that data is protected throughout the data lifecycle Organizations must also be prepared to respond quickly in the event of a security incident Figure 17 Data security Intellectual Property: Business intelligence tools may rely on proprietary algorithms or software to provide their analysis and insights This can raise questions about intellectual property rights, particularly when organizations are working with third-party vendors or partners Organizations must ensure that they are complying with relevant intellectual property laws and regulations, and that they have appropriate contracts and agreements in place to protect their intellectual property rights Figure 18 Intellectual Compliance: Business intelligence tools must comply with a range of legal and regulatory requirements, such as anti-money laundering regulations, anti-bribery laws, and export control laws Organizations must ensure that they are complying with these requirements, and that their business intelligence tools are designed to support compliance Figure 19 Compliance Transparency: Business intelligence tools must be transparent and provide clear explanations for their analysis and insights This is particularly important when organizations are using machine learning or artificial intelligence algorithms to make decisions Organizations must ensure that they are transparent about their algorithms and methodologies, and that they are providing clear explanations for how they arrived at their conclusions Figure 20 Transparency In summary, the secure exploitation of business intelligence tools requires careful attention to a range of legal issues related to data privacy, security, intellectual property, compliance, and transparency Organizations must ensure that they are complying with relevant laws and regulations, and that they have appropriate contracts and agreements in place to protect their interests 4.1 Reference Nguyen, A and B O'Brien (2017) "The importance of data visualization in data-driven business." Journal of Business Research 70: 255-262 https://doi.org/10.1016/j.jbusres.2016.08.009 [Accessed 7/3/2023] Golfarelli, M and S Rizzi (2009) "Data warehouse design: Modern principles and methodologies." Encyclopedia of Data Warehousing and Mining: Second Edition: 357-361 https://doi.org/10.4018/978-1-60566-010-3.ch059 [Accessed 7/3/2023] Inmon, W H (2005) "Building the data warehouse." John Wiley & Sons https://www.wiley.com/enus/Building+the+Data+Warehouse%2C+4th+Edition-p-9780764599446 [Accessed 7/3/2023] Hassani, H and J Huang (2020) "Data warehouse and business intelligence: Literature review and research opportunities." Journal of Business Research 106: 287-300 https://doi.org/10.1016/j.jbusres.2019.09.051 [Accessed 7/3/2023] Mehmood, R and M A Khan (2021) "A review of big data analytics and business intelligence: Recent trends and future directions." Journal of Big Data 8(1): 1-25 https://doi.org/10.1186/s40537-020-00385-x [Accessed 7/3/2023] Watson, H J., et al (2019) "A framework for big data and business analytics ecosystem capability: Insights from the UK." Journal of Business Research 98: 365-376 https://doi.org/10.1016/j.jbusres.2019.01.026 [Accessed 7/3/2023]

Ngày đăng: 18/07/2023, 23:58

Từ khóa liên quan

Tài liệu cùng người dùng

Tài liệu liên quan