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Business Process Modeling

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Presentation on theme: "Business Process Modeling"— Presentation transcript:

1 Business Process Modeling
What is a process model? A formal way of representing how a business system operates. Illustrates the activities that are performed and how data moves through the process. A process model can be used to document current system or to illustrate new system Use Cases and Data Flow Diagrams (DFD) are among many techniques to support Business Process Modeling

2 Business Administration 362 2001-3 Session 3 Notes
Week 7 Agenda What’s new in technology? A couple of ‘Interesting’ Questions Lecture Material Data Modeling Entity-Relationship Diagrams Normalizing Data Summary – where we are NOTE: No tutorials next week (midterm) Drew Parker September 2001

3 The Systems Development Life Cycle (SDLC)
Business Administration Session 3 Notes The Systems Development Life Cycle (SDLC) Project Identification & Selection Project Initiation & Planning Process Model Data Structure Logic Modeling Analysis Logical Design Physical Design Implementation Maintenance Drew Parker September 2001 3

4 Business Administration 362 2001-3 Session 3 Notes
Data Modeling Context DFDs and Logic Modeling show how, where and when data is used Data Modeling shows data definition, structure & relationships Importance crucial information for the design phase data is often more complex than processes data has reasonably permanent characteristics Drew Parker September 2001 5

5 Business Administration 362 2001-3 Session 3 Notes
Data Models A data model shows the people, places, and things of interest to an organization and the relationships among them. The logical data model is an abstraction. Once again, it shows the organization of data without indicating how it is stored, created, or manipulated. Drew Parker September 2001

6 Business Administration 362 2001-3 Session 3 Notes
Data Models A physical data model shows how the data will actually be stored in the database. Normalization is the process analysts use to check for data redundancy. Drew Parker September 2001

7 Conceptual Data Modeling
Business Administration Session 3 Notes Conceptual Data Modeling What is it? Captures the structure of organizational data Is independent of a DBMS or implementation When is it used? Conceptual Data Modeling is during analysis Other data modeling is done throughout SDLC What form does it take? Entity Relationship Diagrams (ERDs) Drew Parker September 2001 6

8 Basic ERD Symbols (IDEF1X)
Entity-Name Identifier Attribute-name Relationship-name

9 A Note There are several different notations for ERD’s.
none are the de facto standard we will look at commonalities

10 Business Administration 362 2001-3 Session 3 Notes
Entities A person, place, object, event or concept that you want to maintain data about e.g., Customer, Product, Sale, Course, etc. entities are named with a noun represented by a rectangle Place Entity Name Here Drew Parker September 2001 10

11 Figuring Out What Entities to Use
Top Down Modeling Asking Questions Determining Business Rules “What things do we care about, in that we need to store them in our data base to perform business operations?” persons places objects events concepts

12 Figuring Out What Entities to Use
Bottom-Up Modeling looking at forms and reports required in the system identifying entities from DFD’s

13 Business Administration 362 2001-3 Session 3 Notes
Entity Types and Instances (aka: distinctions modelers make to keep you confused) Entity Type (or class) refers to a collection of entities that share common properties e.g. The entity “student” may have two entity types, graduate and undergraduate student Entity Instance refers to a single unique object within an entity type e.g., Employee is an entity, customer service representative (CSR) is an entity type, and the CSR named ‘Carl’ is an entity instance. Drew Parker September 2001 11

14 Business Administration 362 2001-3 Session 3 Notes
Attributes A named characteristic of an entity that is of interest to the organization or application e.g., Customer #, Customer Address, etc. Attributes are listed under the entity name attributes are named with nouns Customer C_lastname C_firstname C_telephone Drew Parker September 2001 12

15 Attributes that are Keys
Business Administration Session 3 Notes Attributes that are Keys A key is an attribute that uniquely identifies every instance of an entity type. Candidate keys are one or more attributes that uniquely identify every entity instance Primary key - the candidate key that is chosen as the unique identifier for every instance of the entity type. choose stable, non null, and simple attributes primary keys are marked with an asterisk in the diagram Drew Parker September 2001 13

16 Candidate Keys and Identifiers
Title and Copy could uniquely identify a single physical DVD. It would probably be better to choose a Movie_Serial_Number for each specific DVD so we could keep the key to one attribute (could include mnemonics like the first word and a number: Ted2-01)

17 Business Administration 362 2001-3 Session 3 Notes
Relationships The link that combines entity types. More formally, a relationship is an association between instances of one or more entity types labeled with verb phases - one or two may be represented as a diamond or not shown at all on the diagram to avoid clutter Drew Parker September 2001 14

18 Relationships Relationships typically represent a transaction of the organization Rent Members DVDs 1

19 Relationship Types: Cardinality
Business Administration Session 3 Notes One to One One to Many Many to Many Assigned Employee Parking Space 1 1 Owns Student Textbooks 1 N Takes Student Classes N N Drew Parker September 2001 15

20 Relationship Types: Modality
Business Administration Session 3 Notes Optional: Rent Members DVDs 1 Drew Parker September 2001 15

21 Business Administration 362 2001-3 Session 3 Notes
More on ERD Concepts Degrees of Relationships Cardinality Many to many relationships Drew Parker September 2001 19

22 Relationships - Cardinalities
Business Administration Session 3 Notes The number of instances of entity A that can be associated with instances of entity B For example: Owns Student Textbooks 1 N Cardinalities Takes Student Classes N N Drew Parker September 2001 22

23 Cardinality - Mandatory
Business Administration Session 3 Notes One Many This line indicates mandatory (at least one must exist) The crow’s foot indicates many Example: Patient has Patient History Patient Patient History has Drew Parker September 2001 24

24 Cardinality- Optional
Business Administration Session 3 Notes One Many The “0” indicates the entity may have zero instances. This means the relation is optional Example: Movie is available on DVD Movie DVD Stored as Drew Parker September 2001 25

25 Many-to-Many Relationships
Business Administration Session 3 Notes Many-to-Many Relationships Generally implies that there are attributes associated with the relationship i.e., attributes that do not belong with one of the entities alone but with the combination Many to Many relationships are very difficult to deal with in databases A typical approach is to create a 3rd entity when we are faced with a many to many relation the primary key for the new entity will be the keys of the entities that it connects Drew Parker September 2001 27

26 Business Administration 362 2001-3 Session 3 Notes
Many-to-Many Example Business Administration Session 3 Notes Flight books Customer Can be transformed into: Seat Books Is on Flight Customer This transformation makes the relationship easier to handle. In general, we seek to eliminate many to many relationships whenever possible. Drew Parker September 2001 28

27 Business Administration 362 2001-3 Session 3 Notes
Many-to-Many Issues What information does this M-to-M assume is not important to keep track of? Drew Parker September 2001

28 Objectives of Data Modeling
Business Administration Session 3 Notes Objectives of Data Modeling To minimize redundancy of a data base To completely represent the required data in an information system Drew Parker September 2001

29 Normalizing Data Bases
Business Administration Session 3 Notes Normalizing Data Bases A set of rules to determine appropriate behavior for a data base. First, fill in the blanks for EVERY record Second, remove redundant items (partial dependency) Third, eliminate complex relations where two or more relational meanings exist (transitive dependency) Drew Parker September 2001

30 Business Administration 362 2001-3 Session 3 Notes
A Spreadsheet Drew Parker September 2001

31 Business Administration 362 2001-3 Session 3 Notes
First Normal Form Drew Parker September 2001

32 Business Administration 362 2001-3 Session 3 Notes
Second Normal Form Orders: Ordered Items: Item Descriptions: Drew Parker September 2001

33 Business Administration 362 2001-3 Session 3 Notes
Third Normal Form Customers: Orders: City, Province: Ordered Items: Item Descriptions: Drew Parker September 2001

34 Business Administration 362 2001-3 Session 3 Notes
Summary We have covered the Systems Analysis part of the course… Seek to understand a system, and to start to build a model of that system Focus on the Systems Development Life Cycle Process, Data, or Object Oriented Works with traditional and rapid application development Drew Parker September 2001

35 Business Administration 362 2001-3 Session 3 Notes
Summary We ask questions: Feasibility Economic Technical Organizational We plan major steps of the project Understand current system Envision possible improvements automation process improvement process reengineering Drew Parker September 2001

36 Summary We gather data questionnaires interviews observation JAD We start to model what we understand to be the processes under study Build Use Cases draw DFD’s

37 Summary We start to distill the required logic of the process
Logical data flows Key processes Logic within the processes themselves And the data we need to keep within the system ERD and logical data modeling


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