BIS 445 DeVry All Week I Labs

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Note! Submit your assignment to the Dropbox located on the silver tab at the top of this page. (See the Syllabus section "Due Dates for Assignments & Exams" for due dates.) Remember This! Connect to the iLab here. iLAB OVERVIEW Scenario and Summary You will start with a comma delimited file that looks like this: When you are finished moving the data into the data warehouse, you will have split the customer, order, and product information into their own tables and, as a result, create a star schema that looks like this: As you can see, the FactOrders table has become a fact table containing statistics we might want to analyze as managers of a company. The fact table contains the primary keys of the other tables as foreign keys. Also in the fact table (FactOrders), we have stored the result of Price*Quantity in a newly created column called Sales_Total. Sales_Total is a fact we would like to analyze using an OLAP tool, such as a pivot table, in the future. The primary key of the FactOrders table is a Surrogate_Key which has been generated by the database management system. In the star schema, the products and customers table have become dimension tables. Furthermore, the star schema removes the duplicated customer and product names that existed in the original comma delimited file and puts them in normalized customer and product tables. Last of all, the star schema violates the third normal form, which says that no calculated fields should exist in the design (schema). In this case, the Sales_Total column is a calculated field. This violation isn't a problem because in a Decision Support System, software that accesses a data warehouse, it is acceptable to violate normal forms if it speeds up SQL queries by minimizing table joins and storing calculations in the database. Your task is to create a star schema that is capable of holding the information in the comma delimited file, and then load the star schema with the data from the text file. You will load the comma delimited data file into a temporary table in the SQL database. After you design the star schema, you will use SQL statements to populate the star schema with the necessary data from the temporary table. Finally, you will analyze the data by order year in order to find out which customers have the highest to lowest sales. Deliverables Submit the YourName_Lab2_Questions.docx to the Week 2 iLab Dropbox. BIS 445 DeVry Week 3 iLab Using Enterprise Data to Create Pivot Tables Note! Submit your assignment to the Dropbox located on the silver tab at the top of this page. (See the Syllabus section "Due Dates for Assignments & Exams" for due dates.) Remember This! Connect to the iLab here. iLAB OVERVIEW Scenario and Summary You are working as a data analyst for a large manufacturing firm. You have been asked to develop a series of pivot table queries, which will present aggregated views of corporate data that can be used for decision support and trend analysis by decision-makers. Using SQL, you can create aggregated views of your data. Pivot tables are especially useful if you are analyzing large volumes of data. For example, if you wanted to determine the average value of sales for each sales person in your database, you could use a pivot table to aggregate thousands or millions of sales records. This is much faster than attempting to scroll through all of the available records.
You will log into our Citrix Server, access SQL Server, and the BIS445_AdventureWorks database, and then develop five pivot tables. Deliverables Submit the YourName_Lab3_Questions.docx to the Week 3 iLab Dropbox. Section Deliverable Points Part A Create a query to determine cost data for manufacturing a product. 10 Part B Develop a query to analyze average, minimum, and maximum costs for each product. 10 Part C Determine average sales amount for each salesperson. 10 Part D Determine average cost based upon a number of days to manufacture a product. 15 Part E Analyze the number of purchase orders placed by each vendor. 15 iLAB STEPS Preparation Back to Top Download the Week3_Lab3_Questions.docx from DocSharing. You will answer the questions and provide screen prints as required for each part of the lab. BIS 445 DeVry Week 4 iLab Create a data warehouse using a star schema and then analyze data warehouse information. Note! Submit your assignment to the Dropbox located on the silver tab at the top of this page. (See the Syllabus section "Due Dates for Assignments & Exams" for due dates.) Remember This! Connect to the iLab here. iLAB OVERVIEW Scenario and Summary The management of the Coffee Merchant needs to find the sales pattern by data mining the sales data. The purpose of the data mining exercise is to find any of the sales patterns. In particular, the senior management team is interested in the quarterly sales reports by different sales region. From the experience, the team thinks that each region would have different product needs at a different quarter. As a sales analyst, you need to apply the data mining techniques using SQL Server Reporting Services. Your assignment is to create a parameter, matrix report, and explain the report to find sales a pattern at a different region on a different fiscal year quarter. Deliverables Submit the YourName_Lab4_Questions.docx to the Week 4 iLab Dropbox. Steps Deliverable Points Step 1 Translate the business requirements into operational data mining specifications. 10 Step 2d to Step Find the right tables and columns from data warehouse (Coffee Merchant database). 10 2h Step 4 Create a parametric, metric report. 10
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Page 5 and 6: Submit the YourName_Lab5_Questions.

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