1 SEEStat Quick Guide SEEStat Quick Guide Contents 1.Daily Summaries (using within-day data)Daily...
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Transcript of 1 SEEStat Quick Guide SEEStat Quick Guide Contents 1.Daily Summaries (using within-day data)Daily...
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SEEStat Quick Guide SEEStat Quick Guide
Contents
Contents
1. Daily Summaries (using within-day data)
* Time Periods
* Durations
* Instants
2. Time Series Summaries (trajectories over days, or months)
3. Daily Reports (flow charts)
4. General Useful Tools
24 June, 2008
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SEEStat Quick Guide SEEStat Quick Guide
1. Daily Summaries (using within-day data)
Statistical Analysis → Database Summaries → Select Study → USBank → OK General → Descriptive Statistics
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SEEStat Quick Guide SEEStat Quick Guide
1. Daily Summaries (using within-day data)
* Time Periods – Select Tables Variables → Options → Select Categories → X Properties
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Drawing Arrivals Counts of Summit Service ,on 25,29 and 30 May, 2001 (HW3, Q6)
Select Variable → Arrivals to queue Select Option → Counts Select Category → Summit Select X Properties → Resolution 60:00 Range 6:00-23:00
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SEEStat Quick Guide SEEStat Quick Guide
1. Daily Summaries (using within-day data)
* Time Periods – Select Dates Months → Days
Drawing Arrivals Counts of Summit Service, on 25,29 and 30 May, 2001 (HW3, Q6)
Select Month → May Days type → Individual days Select Days → 25, 29 and 30
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SEEStat Quick Guide SEEStat Quick Guide
1. Daily Summaries (using within-day data)
* Time Periods – Output
Drawing Arrivals Counts for Summit Service, on 25, 29 and 30 May 2001
Arrivals to queue, SummitUSBank
0.0
50.0
100.0
150.0
200.0
250.0
300.0
350.0
400.0
450.0
500.0
550.0
600.0
650.0
700.0
750.0
6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00
Time (Resolution 60 min.)
Num
ber
of c
ases
25.05.2001 29.05.2001 30.05.2001
SEEStat output HW3, Q6 drawing
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1. Daily Summaries (using within-day data)
* Durations – Select Tables Variables → Options → Select Categories → X Properties
Drawing Customer service time distributionfor Retail calls on weekdays, May 2001
Select Variable → Customer service time Select Option → Relative frequencies Select Category → Retail Select Subcategory → Total terminations Select X Properties → Resolution 00:01 Low limit – Minimal value Upper limit – 95%
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1. Daily Summaries (using within-day data)
* Durations – Select Dates Months → Days
Drawing Customer service time distributionfor Retail calls on weekdays, May 2001
Select Months → May Days type → Aggregated days Select Days → Week days
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1. Daily Summaries (using within-day data)
* Durations – Output
Drawing Customer service time distribution for Retail calls on weekdays May 2001
Customer service time, RetailUSBank, May 2001, Week days
0.000
0.100
0.200
0.300
0.400
0.500
0.600
0.700
0.800
0.900
00:00 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00
Time(mm:ss) (Resolution 1 sec.)
Rel
ativ
e fr
equ
enci
es %
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1. Daily Summaries (using within-day data)
* Instants – Select Tables Variables → Options → Select Categories → X Properties
Drawing Number in queue Summit Service ,on 25 May 2001 (HW3, Q4)
Select Variable → Calls in Queue Select Option → Counts Select Category → Summit Select X Properties → Resolution 01:00 Range 6:00-23:00
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1. Daily Summaries (using within-day data)
* Instants – Select Dates Months → Days
Drawing Number in queue Summit Service ,on 25 May 2001 (HW3, Q4)
Select Months → May Days type → Individual days Select Days → 25
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SEEStat Quick Guide SEEStat Quick Guide
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1. Daily Summaries (using within-day data)
* Instants – Output
Drawing Number in queue for Summit Service, on 25 May 2001 (hw3, Q4)
SEEStat output HW3, Q4 drawing
Customers in queue(average), SummitUSBank, 25.05.2001
0.00
5.00
10.00
15.00
20.00
25.00
30.00
06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00
Time (Resolution 1 min.)
Num
ber o
f cas
es
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2. Time Series Summaries (trajectories over days, or months)
Statistical Analysis → Database Summaries → Select Study → USBank → OK Time Series → Daily Totals
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2. Time Series Summaries (trajectories over days, or months)
– Select TablesVariables → Options → Select Categories
Drawing Abandons rate for Premier Service,in second half 2001
Select Variable → Abandons rate Select Option → Rate Select Category → Premier
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2. Time Series Summaries (trajectories over days, or months)
– Select Dates Months → Days
Drawing Abandons rate for Premier Service,in second half 2001
Select Months → from June 2001 to December 2001 Select Time series type → Aggregated days by months Select Days → Weekdays
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2. Time Series Summaries (trajectories over days, or months)
– Output
Zooming on December 2001 : Abandons rate, PremierUSBank, December2001 Weekend
HolidayShutdow nAbnormal
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
5.00
5.50
6.00
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
Days
Ra
te
, %
Abandons rate, PremierUSBank, Week days
0.0000.0500.1000.1500.2000.2500.3000.3500.4000.4500.5000.5500.600
Jun-01 Jul-01 Aug-01 Sep-01 Oct-01 Nov-01 Dec-01
Month
Ra
te, %
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3. Daily ReportsStatistical Analysis → Daily Report → Select Study → USBank → OK
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3. Daily Reports – Aggregated days
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3. Daily Reports – Individual days
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4. General Useful Tools