|\ |\ |\ |\ |\ |\
with answers |\
What are the different levels of analytics? - CORRECT ANSWERS
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\
✔✔-Optimization
|\ -What's the best decision? |\ |\ |\
-Predictive Modeling |\
|\ -What will or could happen?
|\ |\ |\ |\
-Forecasting
|\ -What if these trends continue?
|\ |\ |\ |\
-Statistical Analysis |\
|\ -Why is this happening?
|\ |\ |\
Examples:
|\ -Identifying profitable and loyal customers |\ |\ |\ |\
|\ -Determining the optimal price for a product or service |\ |\ |\ |\ |\ |\ |\ |\
-Finding the lowest possible level of inventory without reducing
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\
availability to the customer |\ |\ |\
|\ - Finding the best people to hire, retain and promote
|\ |\ |\ |\ |\ |\ |\ |\ |\
What is a spreadsheet? - CORRECT ANSWERS ✔✔-Cells, columns,
|\ |\ |\ |\ |\ |\ |\ |\ |\
rows and addresses
|\ |\
What is a model? - CORRECT ANSWERS ✔✔- A model is a
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\
purposeful representation of the key elements of an object or
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\
system and the relationships among those elements
|\ |\ |\ |\ |\ |\
,|\ - Abstract representation of something real
|\ |\ |\ |\ |\
- Enough detail so that key elements and relationships are
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\
accurately represented |\
|\ - Omit unnecessary details
|\ |\ |\
What are the different types of Models? - CORRECT ANSWERS
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\
✔✔-Mental models |\
-Visual Models |\
-Physical Models |\
-Mathematical Models |\
|\ -Weather Forecast |\
|\ -Balance Sheet |\
|\ -Income Statement |\
|\ -Spreadsheet Model |\
What are the different steps in the modeling process?
|\ |\ |\ |\ |\ |\ |\ |\
7 Step Modeling Process: - CORRECT ANSWERS ✔✔Step 1:
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\
Problem Definition |\
|\ -Identify the correct problem |\ |\ |\
|\ -Defining the correct problem is not always easy
|\ |\ |\ |\ |\ |\ |\
Step 2: Data Collection
|\ |\ |\
|\ -Practical data is always not in good shape for the analysts
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\
|\ -Collecting data requires most time |\ |\ |\ |\
Step 3: Model development
|\ |\ |\
|\ -Where your quantitative skills are brought into play
|\ |\ |\ |\ |\ |\ |\
, |\ -Make sure the model accurately represent the real problem
|\ |\ |\ |\ |\ |\ |\ |\
|\ -Balance between being too simple or too complex |\ |\ |\ |\ |\ |\ |\
Step 4: Model verification
|\ |\ |\
|\ -Use clients current data as input
|\ |\ |\ |\ |\
|\ - Are the outputs in line with the current situation?
|\ |\ |\ |\ |\ |\ |\ |\ |\
|\ -Use some reasonable data
|\ |\ |\
|\ - Are the outputs reasonable?
|\ |\ |\ |\
Step 5: Optimization and decision making
|\ |\ |\ |\ |\
|\ -Optimization of an objective: Maximize profit, or minimize cost |\ |\ |\ |\ |\ |\ |\ |\
Step 6: Model communication to management
|\ |\ |\ |\ |\
-A large gap exists between the management science analysts
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\
and managers of organizations
|\ |\ |\
-Involve the people in the organizations in the project from the
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\
beginning
|\ -Try to make the model intuitive and user-friendly
|\ |\ |\ |\ |\ |\ |\
Step 7: Model implementation
|\ |\ |\
- Clients have to be convinced that your model can help them
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\
add value and are implementable
|\ |\ |\ |\
- The people who are going to implement the model need to be
|\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\
trained to: |\
|\ - Input the appropriate data
|\ |\ |\ |\
|\ - Run what- if analysis
|\ |\ |\ |\
|\ - Interpret the model's ouput's correctly
|\ |\ |\ |\ |\
What are the ABC's of spreadsheet models? - CORRECT ANSWERS
|\ |\ |\ |\ |\ |\ |\ |\ |\
✔✔- All of your work must
|\ |\ |\ |\ |\ |\