Demographics Survey Quiz
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Questions and Answers

What is the purpose of adding Time to the Date dimension in the warehouse?

  • To analyze which promotions drive the most sales
  • To support tracking promotions and their effects on sales
  • To capture transaction information to the minute (correct)
  • To determine the size of the Date_Dim for 10 years of data

    • What is the main reason for creating a Promotion dimension in the warehouse?

  • To analyze the effectiveness of promotions on sales (correct)
  • To capture transaction information in the OLTP Sales Transaction table
  • To determine the size of the Date_Dim for 10 years of data
  • To support tracking Time of Day in the warehouse

    • What is an example of a causal dimension in the warehouse?

  • Date
  • Transaction ID
  • Promotion (correct)
  • Time of Day

    • What is a challenge when analyzing the effectiveness of promotions?

    <p>Guaranteeing that the promotion drove the sales</p> Signup and view all the answers

    What is the grain of the revised schema in the warehouse?

    <p>Store, Date, SKU, Transaction ID, Time, Promotion</p> Signup and view all the answers

    What is an attribute of the Promotion dimension?

    <p>Promotion Code</p> Signup and view all the answers

    What is a potential issue with promotions in the warehouse?

    <p>Cannibalization of sales</p> Signup and view all the answers

    Why is it important to create a 'No Promotion' type in the Promotion dimension?

    <p>To account for non-promotion sales</p> Signup and view all the answers

    What is the primary goal of the theme 'To grow sales across all market segments and product lines'?

    <p>To increase sales in a specific region</p> Signup and view all the answers

    What is the business process being modeled in the Cardinal Merch case study?

    <p>POS retail sales</p> Signup and view all the answers

    What does the 'grain' of the business process convey?

    <p>The level of detail associated with fact table measurements</p> Signup and view all the answers

    What is the reason for choosing the most granular or atomic information captured by the business process?

    <p>To improve data analysis</p> Signup and view all the answers

    What is the primary key in the DateDim table?

    <p>Date</p> Signup and view all the answers

    What is the purpose of declaring the grain of the business process?

    <p>To specify the level of detail associated with fact table measurements</p> Signup and view all the answers

    What is a critical success factor?

    <p>A group of data elements that are central to achieving a goal</p> Signup and view all the answers

    What is the foreign key in the SalesFact table that links to the ProductDim table?

    <p>SKU</p> Signup and view all the answers

    What is the purpose of the query in the context?

    <p>To answer a specific business question</p> Signup and view all the answers

    What is the primary key in the StoreDim table?

    <p>StoreNumber</p> Signup and view all the answers

    What type of data is stored in the SalesFact table?

    <p>Fact data</p> Signup and view all the answers

    What is the final step in the dimensional modeling process?

    <p>Identify the facts</p> Signup and view all the answers

    What is the relationship between the SalesFact table and the DateDim table?

    <p>One-to-many</p> Signup and view all the answers

    What is the purpose of the ProductDim table?

    <p>To store product information</p> Signup and view all the answers

    What is the approximate number of rows in the Product Dimension when accounting for different merchandising schemes across stores and historical products?

    <p>150K</p> Signup and view all the answers

    What is the natural key in the Product Dimension?

    <p>SKU Number</p> Signup and view all the answers

    What is the hierarchy of the Product Dimension?

    <p>SKU=&gt;Brand=&gt;Category=&gt;Department</p> Signup and view all the answers

    What is an example of a geographic hierarchy in the Store Dimension?

    <p>Store=&gt;District=&gt;Region=&gt;State</p> Signup and view all the answers

    What is the formula for Gross Margin?

    <p>Gross Margin = Gross Profit/Sales Dollar Amount</p> Signup and view all the answers

    What should we choose to store as a fact, Gross Profit or Gross Margin?

    <p>Gross Profit</p> Signup and view all the answers

    What is an example of an attribute in the Product Dimension?

    <p>Product Description</p> Signup and view all the answers

    What is the purpose of the Store Dimension?

    <p>To represent the primary geographic dimension</p> Signup and view all the answers

    What is the purpose of a junk dimension?

    <p>To restrict the total potential size of a dimension</p> Signup and view all the answers

    How many rows would a junk dimension have if it had 3 genders, 100 ages, 3 marital statuses, 3 return statuses, and 3 child under 15 statuses?

    <p>8100</p> Signup and view all the answers

    What is a consideration when creating a junk dimension?

    <p>The total potential size of the dimension</p> Signup and view all the answers

    Why might you want to remove some unrealistic combinations from a junk dimension?

    <p>To make the dimension more realistic</p> Signup and view all the answers

    What is an example of an unrealistic combination that might be removed from a junk dimension?

    <p>Customers under 10, married with children</p> Signup and view all the answers

    How many rows are typically appropriate for a junk dimension?

    <p>Up to 20,000 rows</p> Signup and view all the answers

    What is the benefit of using a junk dimension with a smaller number of rows?

    <p>It reduces the total potential size of the dimension</p> Signup and view all the answers

    What is a characteristic of a junk dimension?

    <p>It has a large number of rows</p> Signup and view all the answers

    Study Notes

    DIM_DEMOGRAPHICS

    • Pre-loaded with every combination of responses
    • Columns: DemoKey, Gender, Age, AgeGroup, MaritalStatus, ReturnStatus, Child15Status
    • Contains 8,100 rows (calculated by multiplying the number of potential values for each attribute)

    Junk Dimensions

    • Calculated by taking the total number of potential values for each attribute
    • Should be restricted to a total potential size of up to 20,000 rows
    • May want to remove unrealistic combinations, but this adds complexity to the load process

    Data Model

    • The Query: selects sum of QuantitySold and sum of NetPrice from SalesFact, filtered by DivisionName, CategoryName, and CharDate
    • Critical Success Factors: a central goal, e.g. to grow sales across all market segments and product lines
    • Business Questions: specific questions tied to data, e.g. how many men's statement shirts were sold in the Philippines during NCAA semifinals 2016 and what was the total net sales?

    Dimensional Modeling Process

    • Consists of four main steps: select the business process to model, declare the grain of the business process, choose the dimensions that apply to each fact table row, and identify the facts
    • Dimensional modeling is both science and art

    Cardinal Merch Case Study

    • Step 1: select the business process to model, e.g. POS retail sales
    • Step 2: declare the grain of the business process, specifying the level of detail associated with fact table measurements
    • Choose the most granular or atomic information captured by the business process

    Date Dimension

    • Example attributes: Date, CharDate, etc.
    • Grain conveys the level of detail associated with fact table measurements

    Product Dimension

    • Example attributes: SKU Number, UPC, Product Description, Brand Description, etc.
    • Product dimension will contain about 150K rows when accounting for different merchandising schemes across stores and historical products
    • Product hierarchy: SKU=>Brand=>Category=>Department

    Store Dimension

    • Example attributes: Store Number, Store Name, Store Street Address, etc.
    • Represents primary geographic dimension
    • Store hierarchies include: Store=>State, Store=>District=>Region, etc.

    Additivity

    • If CMI wants to look at gross margin, it's calculated by gross profit/sales dollar amount
    • Should choose to store gross profit or gross margin as a fact

    Simple Warehouse Data Model

    • Consists of DateDim, ProductDim, SalesFact, and StoreDim tables
    • Each table has primary keys and foreign keys to establish relationships

    Time of Day

    • If we add Time to the Date dimension, the size of the Date_Dim for 10 years of data to the minute would be significant
    • Alternatively, we can add it as a new dimension, changing the grain to Store, Date, SKU, Transaction ID, Time

    Promotion Dimension

    • Example attributes: Promotion Code, Promotion Name, Price Reduction Type, etc.
    • We can create a new dimension to support tracking promotions, with a promotion type 'No Promotion' to account for non-promotion sales
    • Revised schema includes the Promotion dimension, making the grain Store, Date, SKU, Transaction ID, Time, Promotion

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    Test your knowledge of demographics with this quiz, covering gender, age, marital status, and more!

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