Unit 5
Data
Modelling
Investigating data modelling and
how it can be used in the
decision-making process
Part A
,Contents:
What is a data model? 5
The Stages in the Decision-Making 6
Process 7
Why is understanding the scenario important? 8
Identifying the information and sources 9
Factors affecting the quality of information 10
Analysing the information 11
Identifying alternatives 4 12
Consequences of alternatives 13
Making a decision 14
Justifying the decision 15
Communicating the decisions to others 16
Spreadsheet Features used to support 17
data modelling 18
Entering and editing data 19
Formatting Data 20
Formulas 23
Functions
Validation and Verification
,Contents:
Analysing and Interpreting Data 24
Presenting Data 25
Using Data Modelling to Consider 26
Alternatives 27
Identifying the Inputs Required 28
The Range of Outputs Produced 29
Benefits and Limitations of Alternate Solutions 30
Impacts and Consequences of each Solution 4 31
Identifying the Solution that Produces the Best 32
Decision 33
Evaluating Models 34
Factors to consider when evaluating the model 35
How well the model reflects the Scenario 36
Decisions that can be made using the Model 37
Whether the Model can be Improved 38
Other Factors 39
Documenting and Justifying Decisions 40
Requirements for Documenting and Justifying the
Model
Summarising the Situation
,Contents:
v Identifying Information Sources 41
v Indicating Factors Considered 42
Methods used to Research Decisions 43
Justifying Choices 44
Sources 45
4
,Introduction
What is a data model?
A data model is used by a company to represent data.
Data models mimic real life situations where
business decisions need to be made.
The 3 key types of data modelling are:
Conceptual
Logical
Physical
, The Stages in
the Decision-
Making Process
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