answer of 10 questions with the data

profileQAQ474060161
Tableau_Study-Quiz-31.pdf

Tableau Exercise (Quiz-3)

Dr. Asish Satpathy

NOTE: This handout will guide you to answer all quiz-10 questions. The ERPSim game is played by teams over several rounds (up to 8 rounds of 30 virtual days each). They sell up to six products at a time from a possible 12 products that the market consumes. The products are all muesli cereal2 in various flavors and box sizes. The teams must forecast demand, run MRP, procure, produce, price and market their products for sale.

Figure 1 shows the entire cash to cash cycle in the game. The transactions in bold are decision points that teams must make and execute. They are considered strategic in nature. The transactions that are gray are considered operational in nature. They are automated by the simulator. Additionally, teams can run analytical reports at various points in the game to monitor and strategize.

Data from an actual game have been extracted from SAP ERP and stored in an Access database. Then queries have been written to report important findings. The results have been exported to Excel. You will use Tableau to acquire ERPSim data and visualize to discover any interesting trends.

Deliverable: Answer all the questions in Quiz-3 by following all the steps outlined in this handout.

2 http://en.wikipedia.org/wiki/Muesli

1. Launch Tableau on your desktop [You must get a valid license to access Tableau].

2. Open Sales data.xlsx as shown below.

4. Click on different Dimensions and Measures to see the possible visualization format on the right.

a. What is a measure? A measure is a field on which calculations can be made. These are fields of

business interest for analytics. e.g. revenue, profit, quantity sold. The calculations can sum, min, max,

average, count etc. Measures are also called key figures or facts.

3. Go to worksheet.

b. What is a dimension? A dimension is reference information about a measure. It provides context for

the measures. E.g. customer, time, product. Revenue by customer is an example of how you would

report a measure by a dimension.

5. Explore various panels and tools.

6. We are now ready to manipulate and visualize this data

a. Several charting options are available for visualization on the right side of the screen –

bars, lines, pies, geographic, scatter/bubble, maps, radar, tag cloud etc.

b. Using the appropriate charting technique, answer the following questions. Hints are

provided for each question

EXERCISES

1. Revenue by Team

Question: What is the highest revenue? (Include the team name in your answer)

Answer: Team ____ had the highest revenue. The revenue was ___________ Euro

Hint: Use a column chart. From Measures, drag Revenue into Rows, from Dimensions, drag Team into Column. Click on the icon (right under “Window” tab to change Sort of revenue to descending.

Asish Satpathy

2. Revenue by Product

Question: What product had the highest revenue? (Include the revenue amount in your answer) Add a new worsksheet (at the bottom). Use a column chart. Move Revenue to Rows and Product to Column. Sort the data using the icon as before.

Answer: _____________ Muesli had the highest revenue. The revenue was ___________.

3. Revenue by Team and Round

Question: Display the trend of revenue over rounds for each team. Which team has the largest

difference (highest point – lowest point) in revenue across multiple rounds.

Add a new worsksheet (at the bottom). Use a Continuous Line chart. Move Revenue to Rows and

Round to Columns. Move Team to “color” tab on the left. Click the “Round” tab from the top and

select “Dimension” from the pulldown. Click on “Show me” at the right corner to show the legend.

Hover your mouse curser on the line graphs to see different team and the corresponding values.

Answer: Team ___ (from round ___ to round ___, the difference is: ____________ Euro)

4. Revenue by Team and Product

Question: Observe the market share of each team by product (show only the graph). Name the

teams that don’t have any revenue in five or more product categories?

Add a new worsksheet (at the bottom). Move Revenue to Rows and Product to Columns. Move

Team to “color” tab on the left. Click on “Show me” at the right corner to show the legend.

Hover your mouse curser on the line graphs to see different team and the corresponding values.

Select the Team Level to find out the revenues for each team in different product category.

Answer:

Teams that have no revenue in five or more product categories are: _______________

5. Revenue by Distribution Channel and Product

Question: Are there any products that don’t sell in specific distribution channels? If so, then list the products along with their respective distribution channel.

Add a new worsksheet (at the bottom). Move Product to Rows and Distribution Channel to

Columns. On Distribution Channel pull down select “Dimension”. Move Revenue to “Size” tab on

the left. Click on “Show me” at the right corner to show the legend.

Answer: Distribution Channel 10: Distribution Channel 12: Distribution Channel 14:

6. Price by Product and Team

Question: What were the highest prices paid for a Muesli product for each team? Which team

paid the most towards all the Muesli product bought? (Include the product name and price in

your answers)

Add a new worsksheet (at the bottom). Move Price to Rows and Team to Columns. On Price pull

down select “Continuous”. On Team pull down select “Dimension”. Move Product to “Color” tab

on the left. Click on “Show me” at the right corner to show the legend. On Product pull down

select “Dimension”. Click the icon (at the top of the ribbon – “Short team descending by price”.

Answer:

Example -> NN: Product Name: $Price NN:

OO:

KK:

SS:

RR:

TT:

QQ:

PP:

LL:

MM:

_________ paid the most for all the Muesli products bought by a team - $_______

7. Quantity by Team and Product

Question: Which team sold the most quantity of muesli? For that team, what was the most sold

product? (Include the quantities in your answers)

Add a new worsksheet (at the bottom). Move Team to Rows and Quantity to Columns. Select

Treemaps pattern to view the graph.

Answer:

Team ___ sold the most quantity of muesli. A total of _____________

For the team ___, _____________ Muesli was the most sold product – a total of ______________

8. Revenue and Price by Product

Question: What product has highest price and highest revenue? (Include the price and revenue amount in your answer)

Add a new worsksheet (at the bottom). Move Product to Rows and Price to Columns. Move

Revenue to Colors. Select Packed bubble pattern to view the graph.

Answer: _________________ Muesli, Price: _______, Revenue: _____________

9. Highest Revenue on a day

Question: Overall, What team made the highest revenue in a single round? (Include the exact Day, Round, and Revenue amount in your answer)

Add a new worsksheet (at the bottom). Move Revenue to Columns and (Day) and (Team) to

Columns. Move Round to Colors. From “Round” pull down, select “dimension”. Select “treemaps”

graphing option. Hover your mouse curser on the biggest (area wide) tile, that will provide the

answer.

Answer: Team __ has the highest revenue ($_____________) on Day ___ Round ___.

10. Highest revenue for a product on a single day

Question: What product on what day and round brought the highest revenue? (Include the team name and revenue amount in your answer)

Add a new worsksheet (at the bottom). Move Revenue to Columns and (Day), (Team) and

(Round) to Columns. Move Product to Colors. From “Round” pull down, select “dimension”.

Select “Tree Map” option. Once again, move Product to Colors. Hover your mouse curser on the

biggest (area wide) tile, that will provide the answer.

Answer: Day: ____

Product: ____________

Team: ____

Revenue: _______________

  • 1. Revenue by Team
  • 2. Revenue by Product
  • 3. Revenue by Team and Round
  • 4. Revenue by Team and Product
  • 6. Price by Product and Team
  • 7. Quantity by Team and Product
  • 8. Revenue and Price by Product
  • 9. Highest Revenue on a day
  • 10. Highest revenue for a product on a single day