The document outlines an analysis of a Vodafone bill by a business analyst, detailing call durations, SMS, and data usage patterns over a specified billing cycle. It includes insights into user behavior, suggesting a professional use of the phone and proposing recommendations for plan alternatives. Demographic predictions indicate the user is likely a mid or high-level executive aged 30 or older using a smartphone, based on usage metrics and call statistics.

1. SOMDEEP SEN; Business Analyst: Trimax Analytics
(e) somdeepenggmba@gmail.com; (p): 09748229123
LinkedIn: http://linkd.in/1ifqs3x

2. •
XYZ Consultants have been the task to analyze a sample bill of Vodafone
•
The analysis should contain the following details:
Call:
– Total no. of calls made; Called numbers & destinations
– Duration of calls (Total & Avg.); Time of call (Peak, Off-Peak);Cost of calls; Breakup: Day & Date
wise
SMS:
– Total number of SMS sent; Breakup: Day & Date wise
Data Usage:
– Total amount of usage(in KB), Breakup: Day & Date wise

3. •
Determine the type of Usage (Roaming, Local or International Roaming)
•
Review the plan to determine overall fitness of the plan for this person
•
Recommend an alternative plan based on the comparison with 3 other plans
•
Predict certain demographic details(age, occupation) & type of phone being used
Note: One may justify the present plan as the best one too

4. Type
Local Call
STD
Roaming Calls
SMS
Data
Rate
Mobile(In-Network & Off-Network), Landline: 0.3/Min.
Free Qty: 400 minutes
In-Network & Off-Network Mobile: Rs. 0.5/Min
Local Landline: Rs. 0.5/Min
Incoming: Rs. 1.0 / minute; Local: Rs. 1.5/ minute
STD: Rs. 0.5/ minute
Local SMS: Rs. 1.0/ minute; National SMS: Rs. 1.5/ minute
Roaming SMS (National & Local): Rs. 1.5/ minute
GPRS Data & GPRS Roaming (0.1 / 10 KB)

5. Understanding the Data
Data Cleaning
Analysis
Comparison with other
plans
Providing
recommendation
Prediction

6. Particulars
Details
•Date(DD/MM/YY) , Time, Duration (Min : Sec)
Call
•Called Number (Vodafone or Non-Vodafone)
•Type of call (Local or STD) & Charges
•Date(DD/MM/YY) , Time
SMS
•Destination Number (Vodafone or Non-Vodafone)
•Type of SMS (Local or STD)
Data Usage
•Date(DD/MM/YY) , Time
•Type of Usage (VF Mob Connect/ VF Live)
Note
• The information mentioned above is provided for the billing cycle: 10.12.13 to 09.01.14
• The information scattered over multiple excel sheets

7. Problems Encountered
•
Date & Time for the particulars were given together one cell
•
Information regarding Conference Call wasn’t specified
•
Format of some of the mobile numbers were not in symmetry
•
Data usage was scattered in over 10 sheets
Tool Used for cleaning, organizing & analyzing the data: Ms-Excel
•
Advanced Filtering
•
Pivot Table
•
V-Lookup

8. •
25
8-Jan
1
7-Jan
2
6-Jan
5
5-Jan
3
4-Jan
14
3-Jan
2-Jan
1-Jan
9
31-Dec
20
30-Dec
29-Dec
28-Dec
27-Dec
2
26-Dec
14
25-Dec
15
24-Dec
23-Dec
15
22-Dec
21-Dec
20-Dec
19-Dec
18-Dec
17-Dec
3
16-Dec
4
15-Dec
14-Dec
13-Dec
5
12-Dec
10
11-Dec
10-Dec
Duration (Mins)
25
24
23
20
16
18
14
8
6
5
3
1
0
Date
This excludes conference call (40 minutes), as the details of con-call was not provided

9. •
Total duration: 235 mins; This includes night speak of 11 mins.
•
Average duration: 10 mins/day; 23 days have been considered
•
No calls were made on 14th Dec, 16th – 19th Dec, 27th – 28th Dec
•
Only night calls were made on 25th & 26th Dec
•
Drop in average duration weekends suggests that primary purpose of use professional
•
Calculated duration(235 minutes) doesn’t match with the billed duration (335 mins)
•
Therefore, either some call details might be missing or it might be a case of over billing
•
However, both billed & calculated duration is less than 400 mins
•
As per the bill 5 minutes STD call was made; but the data didn’t seem to have the details
•
All calls made seemed to be Local

10. 140
123
Number of calls
120
100
80
31
60
8
40
4
2
20
0
1 minute calls
2 minute calls
3 minute calls
4 minute calls
5 minute calls
Call Duration
•
Almost 96% of the calls just lasted <= 3 minutes
•
Short duration of calls reemphasizes that the calls might have been professional in nature

11. 120
Duration (Mins)
100
99
80
60
53
40
28
20
26
17
12
0
7:30 AM-10:30 AM 10:30 AM-1:30 PM 1:30 PM-4:30 PM
4:30 PM-7:30 PM
7:30 PM-10:30 PM
After 10:30 PM
Time range
•
‘10:30 AM-7:30 PM’ can be tagged as the peak time as it contributes 180 mins out of 235
•
‘10:30 AM-1:30 PM’ may also be the office time for the person leading to the steep rise
•
Interestingly no calls are made between 12:04 PM to 1:04 as it might be the recess time
•
Steady drop in call duration suggests that the person might be on the way back home from office
•
The before 10:30 AM & after 8 PM can be tagged as off-peak time

12. In Minutes
78
105
52
Non-Voda_Loc_Mob
Others
Voda_Loc_Mob
•
Local Vodafone number clearly occupies the majority of the duration breakup
•
The analysis also showed that majority of the numbers were called multiple times in a day
•
This suggests that the calls might have been made to the colleagues
•
Others included: Local Landline & Toll-free numbers
•
Landline numbers also suggested that calls might have been made to different branches of the organization

13. In Minutes
4
3
6
Airtel
Reliance
Docomo
65
MTS
This analysis is useful keeping in mind that Vodafone has to pay a termination fee
to end the call made to a Non-Vodafone number

14. Date
1
8-Jan
7-Jan
6-Jan
5-Jan
4-Jan
3-Jan
2-Jan
1-Jan
31-Dec
25
30-Dec
3
29-Dec
28-Dec
11
27-Dec
1
26-Dec
25-Dec
5
24-Dec
8
23-Dec
6
22-Dec
35
21-Dec
15
20-Dec
19-Dec
18-Dec
17-Dec
16-Dec
15-Dec
14-Dec
10
13-Dec
12-Dec
11-Dec
20
10-Dec
Number
45
44
41
40
33
28
30
20
14
8
10
6
1 1
0

15. •
Total no. of SMS sent: 234; Avg. no of SMS sent/day: 14; Days considered: 17
•
All the SMS sent was local
•
No SMSs were sent on 14th Dec– 19th Dec & 1st – 6th Jan.
•
Interestingly no calls were made on 14th Dec, 16th – 19th Dec & only 3 calls were made on the 15th
•
This may infer that the person might have been on leave during 14th- 19th December
•
However, despite low call duration from 4th to 6th Dec the person seemed active
•
Also just like calls Calculated number (236) doesn’t match with the billed one 294)
•
The person had an SMS pack of 100 free SMS FOR Rs. 50

16. Average Duration of Calls
Average Number of SMS
13
9.5
10.5
18
Weekend
Weekday
Weekdays
Weekend
•
Average duration & number is closely matched for calls; whereas for SMS weekend has won the race
•
Such stats may infer that due to workload the person may have to work on weekends too
•
Assumption: The person uses the phone for professional purpose only

17. 900000
800000
700000
600000
500000
400000
300000
200000
100000
0

18. •
Total usage: 2.08 GB, Avg. data download/day 0.08 GB
•
There were no internet usage on 14th Dec, 16th -19th Dec
•
Interestingly during these time periods SMS sent & calls made was also very low
•
This indicates that the person might have been on a leave
•
Maximum usage: 0.79 GB on22ⁿᵈ Dec followed by 27th,23rd 21stand 20th Dec
•
There was a modest use of VF Live leading to a negligible consumption of 70 KB

19. 12:00 AM
12:34 AM
1:05 AM
1:35 AM
2:07 AM
2:42 AM
3:16 AM
3:51 AM
4:24 AM
4:57 AM
5:33 AM
6:06 AM
6:40 AM
7:05 AM
7:30 AM
7:55 AM
8:21 AM
8:53 AM
9:28 AM
9:58 AM
10:26 AM
10:59 AM
11:27 AM
11:43 AM
12:02 PM
12:19 PM
12:48 PM
1:18 PM
1:46 PM
2:13 PM
2:43 PM
3:09 PM
3:40 PM
4:08 PM
4:39 PM
5:04 PM
5:32 PM
5:56 PM
6:19 PM
6:41 PM
7:07 PM
7:28 PM
7:51 PM
8:20 PM
8:44 PM
9:04 PM
9:22 PM
9:41 PM
10:08 PM
10:37 PM
11:06 PM
11:36 PM
40000
35000
30000
25000
20000
15000
10000
5000
0

20. •
Three significant time slots are observed
– 6:30 AM - 8:00 AM, 11:00 AM – 12:30 PM and 8:30 PM – 10:00 PM
These three time slots probably signify:
 The starting of the day with checking mails and leads for planning the day ahead
 Assigning work and communicating for work purpose
 Provide feedback, reviews and instruction for the next day

21. 09-01-2014
08-01-2014
07-01-2014
06-01-2014
05-01-2014
04-01-2014
03-01-2014
02-01-2014
01-01-2014
31-12-2013
30-12-2013
29-12-2013
28-12-2013
27-12-2013
26-12-2013
25-12-2013
24-12-2013
23-12-2013
22-12-2013
21-12-2013
20-12-2013
15-12-2013
13-12-2013
12-12-2013
11-12-2013
10-12-2013
09-12-2013
900000
800000
700000
600000
500000
400000
FALSE
300000
TRUE
200000
100000
0

22. •
Data usage wasn’t very high on weekends except for 21st and 22ⁿᵈ Dec
•
It pulled the total usage during weekends higher than the total usage during weekdays
•
We can conclude, that this person was working on a certain weekend due to increase in work-load

28. 1. Occupation: High or Mid Level Executive
Justification:
•
Relatively short length, but high frequency of calls
•
Steep rise in call durations in 10:30 to 7:30
•
Spike in 4:30-7:30 indicates that the calls might be used to take reports or feedback at the end of day
•
Closely matched stats for avg. no. of calls & SMS on weekdays & weekends suggest high work-Load
•
The person may belong to the domain of marketing & sales
2. Age: Greater than Equal to 30
Justification:
•
Usually high level executives belong to the age bracket of 30+
3. Type of phone : Blackberry or Smartphone
Justification:
•
The customer had access to internet starting from 6:30 AM to 11:30 PM