1. Business data modeling Car Rental example Alar Krist Alar
Business data modeling Car Rental example Alar Krist

2. Simplified description of business

3. Simplified description of a car rental business
The essence of the car rental business: customers rent cars
We have many offices in many countries
We have many cars
we group cars by car types (small, medium, big)
We assign rental price to each car type
Customer can make bookings for car types (not for concrete cars)
Customer visits an office and rents a free car or customer makes a rental agreement for a car
Customer returns the car to an office
Clerk creates an invoice to customer
Customer pays the invoice by card or by cash

4. A main real life pattern how concepts are related
Party
Event
Thing
Events relates parties and things

5. Main types of business entities – parties, events, things
The essence of the car rental business: customers rent cars
A main method – mark main business concepts by different colors
We have many offices in many countries
We have many cars
we group cars by car types (small, medium, big)
We assign rental price to each car type
Customer can make bookings for car types
Customer visits an office and rents a free car or customer makes a rental agreement for a car
Customer returns the car to an office
Clerk creates an invoice to customer
Customer pays the invoice by card or by cash
Question: do we need store and manage information on all marked concepts?

6. Main candidates of business entities – parties, events, things
Office
Country
Car
Car type
Customer
Booking
Rental agreement
Return
Invoice
Questions: is a rental agreement an event or a logical thing? is an invoice a logical thing or an event?

7. Main information needs – we need register and manage next data
Car:
VIN, registry number, producer, model, color
Customer:
Name, personal registration number, mobile phone numbers, addresses,
Passport number or ID card number, driver license number
Booking:
Car type, planned rental office, rental start date and time, planned return office, return date and time
Rental agreement:
Car, starting mileage, rental office, rental start date and time, planned return office, return date and time
Return:
Return office, return date and time, return mileage
Invoice:
Invoice date, invoice number,
invoice amount (number of rented days * daily price of the rented car type), VAT

8. Examples of business data definitions

9. Definitions of main business concepts
Office
Country
Car
Car type
Customer
Booking
Rental agreement
Return
Invoice
A quick exercise – define the main concepts!

10. Business concepts for BIM: how concepts are related

11. Descriptions of structural business rules – how concepts are related
Car and Car type
R1: One car type groups many cars; each car has exactly one car type
Customer and Booking
R2: One customer makes many bookings; one booking is made exactly by one customer
Customer and Rental agreement
R3: One customer concludes (zero or) many rental agreements; one rental agreement is concluded by exactly one customer.
Rental agreement and Office
R4: Each rental agreement has exactly one actual rental office; one office may be an actual rental office for many rental agreements;
R5: Each rental agreement has exactly one planned return office; one office may be a planned return office for many rental agreements;
A quick exercise – define missing structural business rules!

12. BIM fragments and business rules: how concepts are related

13. Examples of business data Models

14. Real life patterns how entities are related
Party
Event
Thing
We apply the pattern for Car rental
Booking
Car type
Customer
Rental
Car
Return

15. Draft Business Information model
Booking
Car type
Customer
Booked car type
Rental office and time
Return office and time
Name
Code
Rental price
Customer
Rental
Car
Costomer
Rented car
Rental office and time
Return office and time
Start mileage
Name
Personal ID number
Phone numbers
Mail addresses
Driver license
ID card or passport
VIN
Registry number
Producer
Model
Color
Status
Return
Customer
Returned car
Return office and time
End mileage

16. Draft Business Information model
Car type
Country
Booking
Name
Code
Currency
VAT %
Office
Rental
Car
Name
Country
City
Address
Phone numbers
Mail addresses
Opening times
Return

17. Entity level BIM – business decision: on what concepts we need information

18. Attribute level BIM– business decision: what detail information is needed

19. BIM context – business knowledge: how concepts are related

20. BIM context – business knowledge: how concepts are related

21. Examples of IT data models

22. Loogiline andmemudel variant 1 – IT arhitekti otsus

23. Loogiline andmemudel variant 2 - IT arhitekti otsus

24. Autorendi firma andmemudeli fragment – audit veerud

25. Autorendi firma andmemudeli fragment – Log tabel

26. Examples of IT data models – what exactly is behind IT data models

27. Loogiline andmemudel variant 2 – tabelite naide
Klient_ID
Lep nr
Vs Aeg
Auto_ID 1
123
07okt 33 2
124
10okt 44
125
25okt 55
126
30okt
127
07nov
128
12nov
Auto_ID
Mark 33 VW 44
Audi 55
Ford
Klient_ID
Nimi 1
Alar 2
Mari

28. Organisatiooni Loogiline andmemudel – tabelite naide
Type ID
Start date
Org unit ID
Related Org unit ID
Type ID
Name
Org unit ID
name
Master org unit ID

29. Examples of IT data store architecture – what data is stored in what data base

30. Äriandmed erinevates andmebaasides 1
Rent
Auto
Org
CRM
Rent->Arve

31. Autorendi firma peamised andmekogumid ja andmevood 1
ESB
Arve
Arve
Org –
Org. struktuur,
Kontor,
Töötaja
CRM –
Kient,
kontakt,
Probleem
Rent -
Broneering,
Rendileping,
Tagastus
Auto -
Auto,
rike,
Remont
RP –
Arve,
Konto, Kanne,
Ost, müük
Laekumine
Bron, Rent, Tagastus
Klient
Kontor, Töötaja
Ost, müük, kanne,
Klient
Auto
Auto
Töötaja
Kontor HR
rakendus
CRM
rakendus
Rendi
rakendus
Auto
rakendus RP
rakendus

32. Äriandmed erinevates andmebaasides 2
Rent
Rent<-Auto
Org->Rent
Rent<-CRM
Rent->Arve

33. Autorendi firma peamised andmekogumid ja andmevood 2
ESB
ESB
ESB
ESB
Arve
Arve
Kontor
Klient
Auto
Org –
Org. struktuur,
Kontor,
Töötaja
CRM –
Kient,
kontakt,
Probleem
Rent -
Bron, Rent
Tagastus,
Kontor, Auto
Auto -
Auto,
rike,
Remont
RP –
Arve,
Konto, Kanne,
Ost, müük
Laekumine
Ost, müük, kanne,
Bron,
Rent, Tagastus
Kontor, Töötaja
Klient
Auto HR
rakendus
CRM
rakendus
Rendi
rakendus
Auto
rakendus RP
rakendus

34. Autorendi firma peamised andmekogumid ja DW andmevood
Org
CRM
Rent
Auto RP
ETL - Extract, Transform, Load
Org –
Org. struktuur,
Kontor,
Töötaja
CRM –
Kient,
kontakt,
Probleem
Rent -
Broneering,
Rendileping,
Tagastus
Auto -
Auto,
rike,
Remont
RP –
Arve,
Konto, Kanne,
Ost, müük
Laekumine

35. Autorendi firma DW andmemudel – 1 – loading columns

36. Autorendi firma DW andmemudel – 1 – history