DATA ANALYTICS FOR BUSINESS- Statistics Assignment

Internal Code: TV657

DATA ANALYTICS FOR BUSINESS- Statistics Assignment

This team assignment is designed to provide you with an opportunity to gain hands-on skills with Business Analytics software, specifically SAS Enterprise Miner, SAS Enterprise Guide and tableau. It consists of two parts. In brief, your team will: 1. Identify an organisation/problem, prepare a project plan and implement a model solution. 2. Present your solution to the class during practical sessions.   PART 1 : DATA DRIVEN DECISION MAKING WITH SAS ENTERPRISE MINER Overview 1. One of the main activities of managers in any sector is to make decisions. For example, a manager might ask: Which classes of customers should I target for new product promotions? What kinds of customers should I be careful to evaluate in credit card applications? Which products can I sell to customers as a package? 2. Your task for this assignment is to identify and fully describe the specific requirements for a decision task of your own design. Specifically, your team will produce a report that will: • Identify the decision situation with problem description and requirements. (HINT: Describe the background to the decision to be made, identify the variable which you are trying to predict, and any constraints.) • Consider what type(s) of data will be needed as input into your decision making model. (HINT: Where will it come from? What format will the data be in, e.g., financial data drawn from company sales transactions, composition or other scientific data from testing a product, opinion data from a survey?) • Discuss the model used to analyse the data and reach a decision. (HINT: Will you use classification or clustering or other model? Is the decision a strategic, tactical or operational one?) • Visualize the data using Tableau (HINT: draw on design principles from class readings, and visualization techniques learned in class, consider enhancing the data where necessary (e.g geocoding or bringing in complementary data sources) • Analyze the data using SAS Enterprise Miner. (HINT: use lab time and the assistance of tutors; you can pre-process the data in MS Excel if you wish.) • Make a decision based on the analysis, and justify your decision. (HINT: Justification might include presenting various scenarios, and presenting and explaining graphical output from SAS). For this task, your team will select an online source from the SAS datasets on Blackboard which are pretested to have discoverable patterns.   PART 2: PRESENT YOUR SOLUTION - PPT Presentation