Monday, September 13, 2010

Blog Entry 1.2

1. Employees
  • Data: Employees
  • Information: Employee Number
    • Name
    • Gender
    • Earnings
    • Phone Number
  • Knowledge
    • Employee Number-match to employee
  • Wisdom
    • Work Background
    • Employee Records 

2. Number of Customers within the Parks


  • Data: tickets sold that day
  • Information: Ticket Number
  • Knowledge:
    • what tickets were sold at which park
  • Wisdom:
    • Records on ticket sales

3. Number of Riders that rode a new attraction that day
  • Data: Riders
  • Information: ticket counter
  • Knowledge: How many riders rode the new attraction that day and if the ride is a good attraction and should be kept or if it is a bad ride and needs to be replaced. 
  • Wisdom: Records on the ride.

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