This is a Gas Station Balanced Scorecard Report, it is one of reports that Balanced Scorecard Designer can generate for Gas Station scorecard. With this software you can also design your own KPIs, Balanced Scorecards and metrics.


Gas Station Scorecard

Report includes: 1 month(s) 49 day(s), from 13.12.2008 to 31.01.2009

  Name Start value End value Dynamic Contains
Root Gas Station Scorecard  59,01 % 38,98 % -20,03 %
Financial Perspective(44,4%, -32,28%Down)
Efficiency Perspective(23,2%, -34,4%Down)
Internal Perspective(37,7%, -3%Down)
Growth Perspective(55,8%, 2,85%Up)

Graph for Gas Station Scorecard

Graph for Gas Station Scorecard

Data for Gas Station Scorecard

DatesValue
13.12.200859,01
20.12.200842,62
27.12.200841,88
03.01.200947,74
10.01.200949,71
17.01.200963,7
24.01.200946,58
31.01.200938,98


Financial Perspective

  Name Start value End value Dynamic Parent Contains
Root Financial Perspective  76,67 % 44,39 % -32,28% Gas Station Scorecard
Indicators
Average Daily Business Volume
Annual Earnings
Positive deviation from the 'country's average price'
% rise in the 'net profit' *
* - Information for this metric is limited in sample report Description This group takes care of the 'financial benefits' drawn from the operations.

Graph for Financial Perspective

Graph for Financial Perspective

Data for Financial Perspective

DatesValueWeight
13.12.200876,673
20.12.200855,743
27.12.200840,053
03.01.200970,553
10.01.200955,693
17.01.200957,633
24.01.200949,143
31.01.200944,393


Average Daily Business Volume

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Average Daily Business Volume  6816 8216 + 1400 $ Maximize Financial Perspective
Description The business done on an average gives a 'small guess' at how well the financial position is.

Graph for Average Daily Business Volume

Graph for Average Daily Business Volume

Data for Average Daily Business Volume

DatesWeightMinMaxValue
13.12.200832000100006816
20.12.200832000100006072
27.12.200832000100007856
03.01.200932000100007392
10.01.200932000100007808
17.01.200932000100009984
24.01.200932000100003208
31.01.200932000100008216


Annual Earnings

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Annual Earnings  295800 111000 -1,848E005 $ Maximize Financial Perspective
Description The value of this financial parameter can be had on yearly basis.

Graph for Annual Earnings

Graph for Annual Earnings

Data for Annual Earnings

DatesWeightMinMaxValue
13.12.2008220000300000295800
20.12.2008220000300000158040
27.12.200822000030000040440
03.01.2009220000300000274800
10.01.2009220000300000209840
17.01.200922000030000050520
24.01.2009220000300000282640
31.01.2009220000300000111000


Positive deviation from the 'country's average price'

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Positive deviation from the 'country's average price'   0,92 9,2 + 8,28 cents per gallon Minimize Financial Perspective
Description This is equal to the difference from what a particular station fixes the rate at and the nation's mean price.

Graph for Positive deviation from the 'country's average price'

Graph for Positive deviation from the 'country's average price'

Data for Positive deviation from the 'country's average price'

DatesWeightMinMaxValue
13.12.200820200,92
20.12.2008202013,84
27.12.2008202018,58
03.01.200920209,26
10.01.2009202014,32
17.01.200920204,42
24.01.2009202018,6
31.01.200920209,2


Efficiency Perspective

  Name Start value End value Dynamic Parent Contains
Root Efficiency Perspective  57,57 % 23,17 % -34,4% Gas Station Scorecard
Indicators
Refusal Index
Fraction of fuel that is 'premium'
% decrease in the number of customers lost due to excessive waiting time
% increase in the number of vehicles refilled, on an average *
* - Information for this metric is limited in sample report Description This group of parameters is for knowing how efficiently the station operates.

Graph for Efficiency Perspective

Graph for Efficiency Perspective

Data for Efficiency Perspective

DatesValueWeight
13.12.200857,573
20.12.200824,183
27.12.200833,253
03.01.20097,693
10.01.200949,923
17.01.200975,613
24.01.200945,853
31.01.200923,173


Refusal Index

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Refusal Index  0,00082 0,00849 + 0,00767 # Minimize Efficiency Perspective
Description This parameter is to know the instances when vehicles left the station 'un-filled' owing to some technical or managerial problems. The value can be had on monthly basis.

Graph for Refusal Index

Graph for Refusal Index

Data for Refusal Index

DatesWeightMinMaxValue
13.12.2008300,010,00082
20.12.2008300,010,00777
27.12.2008300,010,00618
03.01.2009300,010,00879
10.01.2009300,010,00907
17.01.2009300,010,00036
24.01.2009300,010,00834
31.01.2009300,010,00849


Fraction of fuel that is 'premium'

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Fraction of fuel that is 'premium'  62,16 61,04 -1,12 % Maximize Efficiency Perspective
Description It refers to the fracion of fuel that is of premium category. The various grades available are 87, 89, 93 etc.

Graph for Fraction of fuel that is 'premium'

Graph for Fraction of fuel that is 'premium'

Data for Fraction of fuel that is 'premium'

DatesWeightMinMaxValue
13.12.200822010062,16
20.12.200822010069,84
27.12.200822010042,32
03.01.200922010021,52
10.01.200922010030,08
17.01.200922010058,32
24.01.200922010063,04
31.01.200922010061,04


% decrease in the number of customers lost due to excessive waiting time

  Name Start value End value Dynamic Measure units Optimization method Parent
Root % decrease in the number of customers lost due to excessive waiting time  25,84 36,32 + 10,48 % Maximize Efficiency Perspective
Description This metric is to gain an estimate to know how 'streamlined' the operations are. If everything moves in an organized manner, the value of this KPI will be minimal.

Graph for % decrease in the number of customers lost due to excessive waiting time

Graph for % decrease in the number of customers lost due to excessive waiting time

Data for % decrease in the number of customers lost due to excessive waiting time

DatesWeightMinMaxValue
13.12.200832010025,84
20.12.200832010020,56
27.12.200832010029,84
03.01.200932010026,88
10.01.200932010088,08
17.01.200932010089,52
24.01.200932010048,4
31.01.200932010036,32


Internal Perspective

  Name Start value End value Dynamic Parent Contains
Root Internal Perspective  40,72 % 37,72 % -3% Gas Station Scorecard
Indicators
Number of vehicles it caters to
Time taken for refilling, on average
Number of pumps
Average waiting time *
Number of employees *
* - Information for this metric is limited in sample report Description This category of indicators is to keep an account of the internal proceedings of the organization.

Graph for Internal Perspective

Graph for Internal Perspective

Data for Internal Perspective

DatesValueWeight
13.12.200840,722
20.12.200854,262
27.12.200855,762
03.01.200946,022
10.01.200952,062
17.01.200941,862
24.01.200940,942
31.01.200937,722


Number of vehicles it caters to

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of vehicles it caters to  2030,7 1855,2 -175,5 # Maximize Internal Perspective
Description This KPI is to know the number of vehicles it refills, per day.

Graph for Number of vehicles it caters to

Graph for Number of vehicles it caters to

Data for Number of vehicles it caters to

DatesWeightMinMaxValue
13.12.20082120025002030,7
20.12.20082120025002368,7
27.12.20082120025001382
03.01.20092120025001339,1
10.01.20092120025001720
17.01.20092120025002051,5
24.01.20092120025001890,3
31.01.20092120025001855,2


Time taken for refilling, on average

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Time taken for refilling, on average  4,212 4,968 + 0,756 minutes Minimize Internal Perspective
Description This is an important KPI, when it comes to 'how the things move in the station'.

Graph for Time taken for refilling, on average

Graph for Time taken for refilling, on average

Data for Time taken for refilling, on average

DatesWeightMinMaxValue
13.12.20082264,212
20.12.20082265,956
27.12.20082264,992
03.01.20092265,504
10.01.20092263,948
17.01.20092263,124
24.01.20092264,5
31.01.20092264,968


Number of pumps

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of pumps  4,72 5,088 + 0,368 # Maximize Internal Perspective
Description This gives an estimate of the customer base of the station and also the potential to handle the swelling in the customer base, if any occurs.

Graph for Number of pumps

Graph for Number of pumps

Data for Number of pumps

DatesWeightMinMaxValue
13.12.200822104,72
20.12.200822107,456
27.12.200822109,384
03.01.200922108,104
10.01.200922105,176
17.01.200922104,224
24.01.200922103,024
31.01.200922105,088


Growth Perspective

  Name Start value End value Dynamic Parent Contains
Root Growth Perspective  52,99 % 55,84 % + 2,85% Gas Station Scorecard
Indicators
Increase in number of cars
% increase in fuel consumption in a month in metric ton
'Number of brands' of fuel offered
Number of additional services offered *
* - Information for this metric is limited in sample report Description This group of indicators is to have the pace at which the operations are expanding.

Graph for Growth Perspective

Graph for Growth Perspective

Data for Growth Perspective

DatesValueWeight
13.12.200852,992
20.12.200838,942
27.12.200843,692
03.01.200975,322
10.01.200938,062
17.01.200976,782
24.01.200949,52
31.01.200955,842


Increase in number of cars

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Increase in number of cars  67,445 92,775 + 25,33 % Maximize Growth Perspective
Description This KPI gives the rise in 'number of vehicles' which arrive at the station for refilling, on yearly basis.

Graph for Increase in number of cars

Graph for Increase in number of cars

Data for Increase in number of cars

DatesWeightMinMaxValue
13.12.200831510067,445
20.12.200831510077,475
27.12.200831510021,97
03.01.200931510088,61
10.01.200931510062,6
17.01.200931510090,14
24.01.200931510091,84
31.01.200931510092,775


% increase in fuel consumption in a month in metric ton

  Name Start value End value Dynamic Measure units Optimization method Parent
Root % increase in fuel consumption in a month in metric ton  3,856 4,792 + 0,936 % Maximize Growth Perspective
Description This indicator signifies, in the most direct manner, the expansion of the business.

Graph for % increase in fuel consumption in a month in metric ton

Graph for % increase in fuel consumption in a month in metric ton

Data for % increase in fuel consumption in a month in metric ton

DatesWeightMinMaxValue
13.12.200832103,856
20.12.200832102,184
27.12.200832107,848
03.01.200932109,056
10.01.200932103,376
17.01.200932109,296
24.01.200932105,536
31.01.200932104,792


'Number of brands' of fuel offered

  Name Start value End value Dynamic Measure units Optimization method Parent
Root 'Number of brands' of fuel offered  9,448 5,76 -3,688 # Maximize Growth Perspective
Description Gasoline may be available in various brands like Mobil, Shell, BP etc. The greater is the range at display, more are the chances that customers will visit the station often.

Graph for 'Number of brands' of fuel offered

Graph for 'Number of brands' of fuel offered

Data for 'Number of brands' of fuel offered

DatesWeightMinMaxValue
13.12.200822109,448
20.12.200822104,192
27.12.200822103,712
03.01.200922107,832
10.01.200922102,304
17.01.200922108,312
24.01.200922105,328
31.01.200922105,76
Created by: AKS-Labs
Report created with Balanced Scorecard Designer at 05.01.2009 21:09:58

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