Matrix Organization Types of data Org structuretypes of

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Matrix Organization – Types of data Org. structure/types of data Reservations and tickets Controller

Matrix Organization – Types of data Org. structure/types of data Reservations and tickets Controller C Office for reservation and ticket purchase C Paper ticket and sms C User profile Structure of trains Timetable of trains U U % of occupation of seats in trains in the last 10 years Marketing office U Pricing and discount campaigns office U Train composition office U C Taxi reservation U Fidelity card office Standard and special trains division U Statistical office U C C means creates & updates the type of data U means uses ther type of data 1

Information Systems 2018 -19 Prof. C. Batini Exercise 3 – Second exercise with reward

Information Systems 2018 -19 Prof. C. Batini Exercise 3 – Second exercise with reward correspondes to 0. 5 points 2

Starting from requirements (types of data, org. Structures, processes) referred to the railway study

Starting from requirements (types of data, org. Structures, processes) referred to the railway study case, produce Types of data refer to • Seat reservation and ticket purchase • Paper tickets and sms • User profile • Structure of trains in terms of coaches and seats • Time table of train travels • % of occupation of seats in trains in the last 10 years • Taxi reservation at arrival in a station Organizational structures refer to • Controllers • Office involved in reservation and ticket purchase • Marketing office • Pricing and discount campaigns office • Train composition office • Fidelity card office • Standard and special trains division • Statistical office 1. Entity Relationship Schema For those of you that studied ER before 2. Organizational structures in rows – types of data in columns (C & U) Processes • Ticket control - Control - Fine (multa) • Seat reservation and ticket purhase • Reservation and purchase • Change of reservation • Marketing • Long term marketing • Short term marketing • Pricing • Fidelity card management • Train composition • Standard trains • Special trains • Timetable design and production • Statististics 3