The FedFone Co. or FFC is a growing business in Ballarat area. The company has simple business process. It has 3 shops at different places in Ballarat area and 5 sales executives. They sales mobile phones and accessories to those shops.
As the business is a growing business, so it needs to understand the opportunities of improvement of their business process, build stronger customer relationship. For that purpose, it has hired some consultancy for analysis of their previous business records. The analysis will help them to understand better sales possibilities in future and help them to take better business strategies.
- The summary of total income as subtotaled by the shops, sales executive and phone models is given in the following pivot table,
Row Labels |
Sum of Total Income ($A) |
High Street |
|
Paul |
|
Apel v17 phone |
73213 |
HTS model 1 |
17560 |
HTS model 2 |
6929 |
HTS model 3 |
18576 |
Motorolar newstyle phone |
6831 |
Motorolar razzr phone |
6150 |
Nokkia phone 1111 |
2369 |
Nokkia phone 2222 |
3215 |
Sansumg 250 phone |
5476 |
Sansumg 300 phone |
15516 |
Paul Total |
155835 |
Ringo |
|
Apel v17 phone |
8298 |
HTS model 1 |
12240 |
HTS model 2 |
10353 |
HTS model 3 |
21533 |
Sansumg 250 phone |
3621 |
Ringo Total |
56045 |
High Street Total |
211880 |
Mall |
|
George |
|
Apel v17 phone |
17450 |
HTS model 1 |
3634 |
HTS model 2 |
4576 |
HTS model 3 |
16468 |
Motorolar newstyle phone |
8618 |
Motorolar razzr phone |
7524 |
Nokkia phone 1111 |
2812 |
Nokkia phone 2222 |
5190 |
Sansumg 250 phone |
5232 |
Sansumg 300 phone |
8624 |
George Total |
80128 |
Stuart |
|
Apel v17 phone |
8095 |
Sansumg 250 phone |
8275 |
Sansumg 300 phone |
78971 |
Stuart Total |
95341 |
Mall Total |
175469 |
Suburb |
|
John |
|
HTS model 1 |
12359 |
HTS model 2 |
11393 |
HTS model 3 |
19255 |
Motorolar newstyle phone |
3883 |
Motorolar razzr phone |
1570 |
Nokkia phone 1111 |
3268 |
Nokkia phone 2222 |
2291 |
Sansumg 250 phone |
3528 |
Sansumg 300 phone |
6139 |
John Total |
63686 |
Suburb Total |
63686 |
Grand Total |
451035 |
1. The summary of total expense as subtotaled by the shops and sales executive is given in the following pivot table,
Row Labels |
Sum of Total Expense ($A) |
High Street |
|
Paul |
118100 |
Ringo |
40453 |
High Street Total |
158553 |
Mall |
|
George |
60510 |
Stuart |
53528 |
Mall Total |
114038 |
Suburb |
|
John |
38982 |
Suburb Total |
38982 |
Grand Total |
311573 |
1. The summary of total profit as subtotaled by the shops, sales executives and phone models is given in the following pivot table,
Row Labels |
Sum of Total Profit ($A) |
High Street |
|
Paul |
|
Apel v17 phone |
6428 |
HTS model 1 |
7545 |
HTS model 2 |
1497 |
HTS model 3 |
8974 |
Motorolar newstyle phone |
1524 |
Motorolar razzr phone |
777 |
Nokkia phone 1111 |
860 |
Nokkia phone 2222 |
964 |
Sansumg 250 phone |
1092 |
Sansumg 300 phone |
8074 |
Paul Total |
37735 |
Ringo |
|
Apel v17 phone |
438 |
HTS model 1 |
4400 |
HTS model 2 |
918 |
HTS model 3 |
9394 |
Sansumg 250 phone |
442 |
Ringo Total |
15592 |
High Street Total |
53327 |
Mall |
|
George |
|
Apel v17 phone |
1075 |
HTS model 1 |
1380 |
HTS model 2 |
506 |
HTS model 3 |
7314 |
Motorolar newstyle phone |
1023 |
Motorolar razzr phone |
957 |
Nokkia phone 1111 |
931 |
Nokkia phone 2222 |
1320 |
Sansumg 250 phone |
744 |
Sansumg 300 phone |
4368 |
George Total |
19618 |
Stuart |
|
Apel v17 phone |
1230 |
Sansumg 250 phone |
1285 |
Sansumg 300 phone |
39298 |
Stuart Total |
41813 |
Mall Total |
61431 |
Suburb |
|
John |
|
HTS model 1 |
5872 |
HTS model 2 |
2931 |
HTS model 3 |
8989 |
Motorolar newstyle phone |
617 |
Motorolar razzr phone |
322 |
Nokkia phone 1111 |
1268 |
Nokkia phone 2222 |
685 |
Sansumg 250 phone |
816 |
Sansumg 300 phone |
3204 |
John Total |
24704 |
Suburb Total |
24704 |
Grand Total |
139462 |
1. The summary of repair income and expense as subtotaled by phone models, sales executives and shops is given below.
Row Labels |
Sum of Expense for Phone Repair ($A) [Partially reimbursed Postal charges] |
Sum of Income from Phone Repair ($A) |
Apel v17 phone |
|
|
George |
|
|
Mall |
0 |
0 |
George Total |
0 |
0 |
Paul |
|
|
High Street |
238 |
85 |
Paul Total |
238 |
85 |
Ringo |
|
|
High Street |
28 |
10 |
Ringo Total |
28 |
10 |
Stuart |
|
|
Mall |
70 |
25 |
Stuart Total |
70 |
25 |
Apel v17 phone Total |
336 |
120 |
HTS model 1 |
|
|
George |
|
|
Mall |
0 |
0 |
George Total |
0 |
0 |
John |
|
|
Suburb |
140 |
180 |
John Total |
140 |
180 |
Paul |
|
|
High Street |
28 |
36 |
Paul Total |
28 |
36 |
Ringo |
|
|
High Street |
0 |
0 |
Ringo Total |
0 |
0 |
HTS model 1 Total |
168 |
216 |
HTS model 2 |
|
|
George |
|
|
Mall |
0 |
0 |
George Total |
0 |
0 |
John |
|
|
Suburb |
0 |
0 |
John Total |
0 |
0 |
Paul |
|
|
High Street |
0 |
0 |
Paul Total |
0 |
0 |
Ringo |
|
|
High Street |
0 |
0 |
Ringo Total |
0 |
0 |
HTS model 2 Total |
0 |
0 |
HTS model 3 |
|
|
George |
|
|
Mall |
0 |
0 |
George Total |
0 |
0 |
John |
|
|
Suburb |
0 |
0 |
John Total |
0 |
0 |
Paul |
|
|
High Street |
0 |
0 |
Paul Total |
0 |
0 |
Ringo |
|
|
High Street |
0 |
0 |
Ringo Total |
0 |
0 |
HTS model 3 Total |
0 |
0 |
Motorolar newstyle phone |
|
|
George |
|
|
Mall |
0 |
0 |
George Total |
0 |
0 |
John |
|
|
Suburb |
0 |
0 |
John Total |
0 |
0 |
Paul |
|
|
High Street |
0 |
0 |
Paul Total |
0 |
0 |
Motorolar newstyle phone Total |
0 |
0 |
Motorolar razzr phone |
|
|
George |
|
|
Mall |
0 |
0 |
George Total |
0 |
0 |
John |
|
|
Suburb |
0 |
0 |
John Total |
0 |
0 |
Paul |
|
|
High Street |
0 |
0 |
Paul Total |
0 |
0 |
Motorolar razzr phone Total |
0 |
0 |
Nokkia phone 1111 |
|
|
George |
|
|
Mall |
0 |
0 |
George Total |
0 |
0 |
John |
|
|
Suburb |
140 |
150 |
John Total |
140 |
150 |
Paul |
|
|
High Street |
0 |
0 |
Paul Total |
0 |
0 |
Nokkia phone 1111 Total |
140 |
150 |
Nokkia phone 2222 |
|
|
George |
|
|
Mall |
0 |
0 |
George Total |
0 |
0 |
John |
|
|
Suburb |
0 |
0 |
John Total |
0 |
0 |
Paul |
|
|
High Street |
0 |
0 |
Paul Total |
0 |
0 |
Nokkia phone 2222 Total |
0 |
0 |
Sansumg 250 phone |
|
|
George |
|
|
Mall |
0 |
0 |
George Total |
0 |
0 |
John |
|
|
Suburb |
84 |
48 |
John Total |
84 |
48 |
Paul |
|
|
High Street |
70 |
40 |
Paul Total |
70 |
40 |
Ringo |
|
|
High Street |
0 |
0 |
Ringo Total |
0 |
0 |
Stuart |
|
|
Mall |
112 |
64 |
Stuart Total |
112 |
64 |
Sansumg 250 phone Total |
266 |
152 |
Sansumg 300 phone |
|
|
George |
|
|
Mall |
0 |
0 |
George Total |
0 |
0 |
John |
|
|
Suburb |
56 |
32 |
John Total |
56 |
32 |
Paul |
|
|
High Street |
70 |
40 |
Paul Total |
70 |
40 |
Stuart |
|
|
Mall |
0 |
0 |
Stuart Total |
0 |
0 |
Sansumg 300 phone Total |
126 |
72 |
Grand Total |
1036 |
710 |
PhonePlan |
Sum of Total Income ($A) |
Optrus plan 1 |
135857 |
Optrus plan 2 |
109734 |
Raldi plan |
57108 |
Telstrar plan 1 |
92444 |
Telstrar plan 2 |
9235 |
Teltsrar plan 2 |
40936 |
Vodrfon plan 1 |
4550 |
Vodrfon plan 2 |
2207 |
Grand Total |
452071 |
And Thus, the (a) most income providing plan is Optrus plan 1 and the (b) least income providing plan is, Vodrfon plan 2.
1. The table and chart for the repair details of the phone models sold by FFC are,
PhoneModel |
Count of RepairDetails |
Sum of Duration of Phone Repair (Days) |
Apel v17 phone |
24 |
720 |
HTS model 1 |
12 |
73 |
HTS model 2 |
|
0 |
HTS model 3 |
|
0 |
Motorolar newstyle phone |
|
0 |
Motorolar razzr phone |
|
0 |
Nokkia phone 1111 |
10 |
132 |
Nokkia phone 2222 |
|
0 |
Sansumg 250 phone |
19 |
222 |
Sansumg 300 phone |
9 |
86 |
Grand Total |
74 |
1233 |
And, For (a) and (b) the worst phone having the most total number of repairs and the longest duration for the repairs is, Apel v17 phone.
1. The table and chart for the income summary of the sales representatives are,
StaffName |
Sum of Total Income ($A) |
George |
80128 |
John |
64106 |
Paul |
156241 |
Ringo |
56073 |
Stuart |
95523 |
Grand Total |
452071 |
And,
Thus, by total sales (income) the best sales representative is Paul and the worst sales representative is Ringo.
- The chart for comparing the total profit in both scenarios is,
Thus, the profit is more in case of hour based training service charge than the flat charge.
- Following table shows a summary of income from different sales activities of FFC in different shops.
|
Shop |
|
|
|
Values |
High Street |
Mall |
Suburb |
Grand Total |
Sum of Income from Phone Model ($A) |
194140 |
161610 |
47525 |
403275 |
Sum of Income from Phone Plan ($A) |
3475 |
3892 |
1584 |
8951 |
Sum of Income from Phone Cover ($A) |
2838 |
1810 |
2997 |
7645 |
Sum of Income from Spare Battery ($A) |
3650 |
4500 |
3590 |
11740 |
Sum of Income from Charge Pack ($A) |
2360 |
2080 |
4320 |
8760 |
Sum of Income from Software Update ($A) |
315 |
90 |
215 |
620 |
Sum of Income from Training Service ($A) |
4960 |
1560 |
3000 |
9520 |
Based on this summary, the recommendation for improvement of their sales activities are,
• FFC should focus on different shops. Because all shops are not performing well. Especially is suburb are the income from sales is very low. Same is true for the sales representative. There is a huge gap between the best and worst performing sales representatives.
• FFC can concentrate on selling more phone accessories and insurance. When people are buying new phones, it is likely that they will by accessories like phone cases, insurance etc.
Based on the analysis results so far, the recommendations for better decision making are,
• FFC should provide more detailed sales information for better and in depth analysis.
• Data should be cleaned before using in analysis work. There are several issues with the sales information provided by FFC. Such uncleansed data tends to give erroneous results.
• Other than sales information, FFC should focus on customer demographics also.
Based on the sales information provided by FFC, the recommendation for better and quality record keeping are,
• Use of separate sheets for different entities like product, sales activities, sales representatives etc.
• Limiting the scope of manual data entry and use of more referencing and calculation using formulas etc.
• Use of data validation and for example, there is no data validation in any column. Column A, B and M contains Dates, name of the shops and duration of training hours respectively. There is no data validation used in any of these columns. Thus in column A, instead of date any string can be written. That will inject error in the analysis. In the same way, anything can be written on other two columns. But with proper data validation, column A should be restricted to have date values in proper format, column B should have a list of values with the names of three shops. And column M should be restricted to have any whole number from the range 0 to 24.
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