Microsoft Word - BIS2006 Assessment Brief T3, 2021.docx Assessment Brief: BIS2006 Management Information Systems Trimester 3, 2021 Assessment Overview Assessment Task Type Weighting Length Due ULOs...

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Assessment 2 case study 1 only .Thanks


Microsoft Word - BIS2006 Assessment Brief T3, 2021.docx Assessment Brief: BIS2006 Management Information Systems Trimester 3, 2021 Assessment Overview Assessment Task Type Weighting Length Due ULOs Assessed Assessment 1: Quiz Online quiz of key content areas Individual Invigilated 40% 30 mins (equiv. 1000 words) Week 3, 5, 7, 9 ULO-1 ULO-2 ULO-3 ULO-4 ULO-5 Assessment 2: Case Study-1 Students should identify an unresolved problem situation (only one) in an organisation and propose a solution by doing critical analysis about it. Individual 30% 1800 words Week 6 ULO-1 ULO-2 ULO-3 Assessment 3: Case Study-2 Analyse a given case study regarding use of personal information of users in social media. Group 30% 3000 words Week 12 ULO-3 ULO-4 ULO-5 Assessment 1: Online Quiz Due date: Week 3, 5, 7, 9 Group/individual: Individual Word count / Time provided: 30 minutes Weighting: 40% Unit Learning Outcomes: ULO-1, ULO-2, ULO-3, ULO-4, ULO-5 Assessment Details: These online quizzes will assess your knowledge of key content areas of learning materials from weeks 1 to 9. For successful completion of the quizzes, you are required to study the material provided (lecture slides, tutorials, and reading materials), engage in the unit’s activities, and participate in the discussion forums. These quizzes will be completed online through the APIC Online Learning System (OLS). Marking Information: There will be four quizzes conducted during trimester, each quiz will be marked out of 100 and weighted 10%, together, they will comprise a total of 40% of the total unit mark. Assessment 2: Case Study-1 Due date: Week 6 Group/individual: Individual Word count / Time provided: 1800 words Weighting: 30% Unit Learning Outcomes: ULO-1, ULO-2, ULO-3 Assessment Details: This assignment assesses the student’s application of theoretical learning to practical, real world situations. Mini Case Study FoodVan FoodVan is an online grocery and ready-to-eat meals delivery business that decided to analyse around a million transactions from almost 100,000 customers in their database so it could better understand what its customer wanted for their online grocery shopping. They also would like to implement a Customer Relationship Management (CRM) solution to better understand their customers, hence, improve their customer service. The vision of the company is “to be the go-to online store for food” by offering speed, convenience, choice, and price delivered to customers door within 30 minutes or less. It used analytics to build a data-centric approach to its business. Their efforts bore so many results that the initial Proof of Concept (POC) reports identified that banana, grapes, peach, and pineapple were the most fruits their customers buy in 202x. As a result, they’ve realised that their big data could reveal insights they don’t know before which could even create new sources of revenue for the business (for example, fruit baskets as a product line for the five most popular fruits sold). “We had a lot of data coming from our point-of-sales software. Initally, the challenge was how to a develop a quick way to talk to the company’s POS database. Our goal was to use the huge amount of transaction data in a cost-effective way and find the right metrics to help us drive our business forward," said Al Coles, vice president of R&D and analytics at FoodVan. The company used Tableau to crunch its data. Initially, they used Microsoft Access but eventually used SQL to talk directly to the company’s POS database. After they found an easy way to access the data, their next challenge was to drill down into the information in ways that would positively impact business results. While they have an in-house IT personnel specialising in MS Access and SQL, they needed additional help from external consultants in implementing Tableau, a data visualization software focused on business intelligence. Tableau is a powerful and fastest growing data visualization tool. It helps in simplifying raw data into the very easily understandable format in the form of dashboards and worksheets. Tableau is cost-effective as it only cost them $70 per month for the subscription. FoodVan have two primary revenue streams that needed to be optimised: Online Grocery and Meal- In-A-Wheel Delivery. "These two revenue streams were driven by different base emotions in our customers, so it was important for us to understand that when we began to analyse our data for optimizing our business. Understanding our customer motivations will allow us to create the metrics that we can use moving forward," Coles said. In the case of Online Grocery, revenues came in when customers buy because of three factors, convenience, choice and price. Using big data analytics, FoodVan will be able to formulate metrics that will help them meet up these needs. In contrast, Meal-In-A-Wheel revenues are generated from different customer motivations. "You buy ready-to-eat meals because you don’t have time to prepare, you want instant food in no time, irrespective of the cost. People want choices and quick delivery”, Coles said. Coles acknowledged that it was sometimes easy to get lost in all of the data. "It took us awhile to narrow and refine data and metrics," he said. In the end, Coles said that the three foremost analytics questions FoodVan asked were: • How can we further improve our services? • How do we reduce delivery times? • How can we find hidden needs and fill up with new products and services? Their big data roadmap started from using MS Access, then switching to SQL as an easier way to access the data from the POS database to drilling down into the information through business analytics using Tableau. After rolling out their Big Data and CRM strategy, FoodVan have nearly doubled their annual sales to $878,850 and welcomed an additional 15,000 customers in 202x, a 10% increase in total customer count. You are required to describe the role of information systems in supporting operations and organisational decision making (ULO-1), discuss the features of enterprise systems and their functions to support business processes (ULO-2), and critique the alignment of an organisation's information systems strategy and business strategy (ULO-3). The following areas should be covered in your assignment using the case study context: 1. Provide a brief description of the organisation 2. Provide a description of the current information systems problems (e.g., legacy systems) and describe the role of information systems in supporting operations and organisational decision making 3. Discuss the features of enterprise systems and their functions to support business processes and how its implementation will provide real benefits to organisation (e.g., competitive advantage, improved customer traffic, improved sales and profit, etc) 4. Critique the information system solutions proposed. Are they aligned to the company’s business strategic vision? 5. A report of 1800 words summarising your analysis must be submitted by the due date. Reasonable assumptions are allowed. Penalty for Late submission: a deduction of 5% of the total mark shall be imposed on each of the next subsequent days. Submission requirements 1. Use a typical report structure, with a Cover Page, Table of Contents, Executive Summary, Introduction, Body, Recommendation/Conclusion and References format. 2. The Executive Summary and the References are excluded in the word count. 3. The Cover Page should clearly indicate the names of the person submitting with report and the word count. 4. You can use each question above as Headings in the Body of your report. 5. All References should reflect quality citations from relevant academic journals and adhere to the correct Harvard format (Wikipedia NOT allowed). Marking Information: The Case Study-1 will be marked out of 100 and will be weighted 30% of the total unit mark. Marking Criteria and Rubric Marking Criteria Not satisfactory (0-49%) of the criterion mark) Satisfactory (50-64%) of the criterion mark Good (65-74%) of the criterion mark Very Good (75-84%) of the criterion mark Excellent (85-100%) of the criterion mark Introduction and organisation Brief description of the organisation (10%) Fails to provide an overview of the organisation Provides a general overview of the organisation background Provides a good overview of the organisation background Provides a very good overview of the organisation background Provides an outstanding overview with very clear organisation background Problem Analysis Description of the current information systems problems and the role of information systems in supporting operations and organisational Fails to provide adequate description and analysis of the current problems and the role of information systems in supporting operations and organisational decision making Provides a general description with very limited analysis of the current problems and/or lacks enough details about the role of information systems in supporting operations and organisational decision making Provides a general description with limited critical analysis of the current problems and the role of information systems in supporting operations and organisational decision making Provides a description and some critical analysis of the current problems and the role of information systems in supporting operations and organisational decision making Provides an outstanding description and careful and critical analysis of the current problems and the role of information systems in supporting operations and organisational decision making decision making (25%) Discussion of proposed systems/ solutions Discuss the features of enterprise systems and their functions to support business processes and how its implementati on will provide real benefits to organisation (25%)
Answered 4 days AfterNov 04, 2021

Answer To: Microsoft Word - BIS2006 Assessment Brief T3, 2021.docx Assessment Brief: BIS2006 Management...

Deepti answered on Nov 09 2021
116 Votes
Contents
Organization Brief    1
Information System Issues    1
Enterprise System Features    2
Centralized Data, Security, Compliance    2
Sales Automation    2
Sales Analytics and Forecasting    2
Mobile CRM    3
Enterprise System Functions    3
Data-Driven Decision Making    3
Analytics    3
ML driven insights    3
Enterprise Mobility    3
Aligning the Enterprise System with Business
Strategy    3
References    4
Organization Brief
This report aims at proposing enterprise system solution for a grocry and food delivery company, FoodVan. The company offers grocery shopping and delivery and ready-to-eat food specially prepared for direct consumption. The company used data-driven approach to analyze its data and create new sources of revenue for business. In doing so, it encountered certain challenges that are discussed in the following section. The challenges were developing quicker ways to access the database and then breaking it up for better understanding. The database was accessed with the help of skilled personnel in MS Access and SQL. The data was visualized in understandable form using a visualization tool called Tableau. The two revenue streams of the company are grocery delivery and easy-to-eat food delivery. The revenue of online grocery can be improved by analyzing customer motivation of choice, convenience and price. The revenue of eatable meal delivery can be improved by analyzing customer motivation of quick delivery. However, the VP, Analytics of the company is motivated to find ways to refine data and metrics to find opportunities of improving the revenue without getting lost in the vast data. The report discusses in detail the role of information systems in intelligent decision making on the basis of analytics of big data, features of the enterprise systems and their functions that would support the company’s business operations and how the enterprise system shall be aligned with the business goals in order to achieve the target.
Information System Issues
The company needs to access the POS big data in order to boost its sales and customer service satisfaction. It is equally critical to ensure consistently positive experience for customers and exploring all possible avenues of sales by analyzing the data. The analysis of data shall offer more insight about customers and products. The analysis will determine items consumers bought together often like the fruits. The detailed history of orders will provide varying trends in sales for every product and manage employee performance by pointing out inefficiencies and fixing them. Access and analysis of POS database quickly will help FoodVan to make vital business decisions. Another challenge for the company is to crunch the data into understandable form in order to gain insight. The issues of legacy system in FoodVan involve data silos due to which data analysis is impossible without integration. It would result in inconsistency across enterprise and services. The disintegrated data shall directly impact data accountability, data integrity and business productivity and it may adversely affect the overall business logic.
The insight into the data shall help the business identify seasonal spikes and lows in sales. Using information system and data visualization tools shall offer solution to all such problems. It will solve the staffing problems as well as offer more insight on which products should be promoted. Data-driven decisions would be easily made, involving advertising and marketing campaigns. The data sources shall provide customer-level understanding as well as firm-level optimization. The data will offer increasing ability to predict customer behavior...
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