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


Tennis Club Scorecard

Report includes: 1 month(s) 49 day(s), from 16.03.2009 to 04.05.2009

  Name Start value End value Dynamic Contains
Root Tennis Club Scorecard  56,01 % 46,81 % -9,2 %
Infrastructure Perspective(58%, 27,47%Up)
Process Perspective(46%, -9,84%Down)
Maintenance and Compliance Perspective(51,2%, -27,05%Down)
Improvement Gauging(26,8%, -45,35%Down)

Graph for Tennis Club Scorecard

Graph for Tennis Club Scorecard

Data for Tennis Club Scorecard

DatesValue
16.03.200956,01
23.03.200937,71
30.03.200939,37
06.04.200958,55
13.04.200955,06
20.04.200958,38
27.04.200959,48
04.05.200946,81


Infrastructure Perspective

  Name Start value End value Dynamic Parent Contains
Root Infrastructure Perspective  30,51 % 57,98 % + 27,47% Tennis Club Scorecard
Indicators
Type of Courts
Number of Courts
Lightning Aspect
Equipment Quality *
* - Information for this metric is limited in sample report Description This group of KPIs enables gathering knowledge about the structure of the tennis club.

Graph for Infrastructure Perspective

Graph for Infrastructure Perspective

Data for Infrastructure Perspective

DatesValueWeight
16.03.200930,513
23.03.200949,223
30.03.200927,163
06.04.200983,263
13.04.200980,453
20.04.200956,33
27.04.200978,873
04.05.200957,983


Type of Courts

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Type of Courts  4,3 4,38 + 0,08 # Maximize Infrastructure Perspective
Description There are a variety of courts used in Lawn Tennis. Tennis clubs need to construct all of these in the clubs if the club is to be made successful.


Graph for Type of Courts

Graph for Type of Courts

Data for Type of Courts

DatesWeightMinMaxValue
16.03.20093384,3
23.03.20093385,05
30.03.20093383,355
06.04.20093387,915
13.04.20093387,89
20.04.20093385,425
27.04.20093386,775
04.05.20093384,38


Number of Courts

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of Courts  13,295 17,015 + 3,72 # Maximize Infrastructure Perspective
Description This gives the number of courts that are in the club. This indicator is important for knowing the number of players that can be accommodated at any given time.


Graph for Number of Courts

Graph for Number of Courts

Data for Number of Courts

DatesWeightMinMaxValue
16.03.2009252013,295
23.03.2009252015,44
30.03.200925209,605
06.04.2009252014,63
13.04.2009252019,94
20.04.2009252018,035
27.04.2009252012,365
04.05.2009252017,015


Lightning Aspect

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Lightning Aspect  13304 17056 + 3752 watts Maximize Infrastructure Perspective
Description Appropriate lightning systems are to be in place to make the play effective. The value of this KPI is equal to the power (in watts) that is used.


Graph for Lightning Aspect

Graph for Lightning Aspect

Data for Lightning Aspect

DatesWeightMinMaxValue
16.03.20093120002000013304
23.03.20093120002000014928
30.03.20093120002000014072
06.04.20093120002000019576
13.04.20093120002000019128
20.04.20093120002000015448
27.04.20093120002000019184
04.05.20093120002000017056


Process Perspective

  Name Start value End value Dynamic Parent Contains
Root Process Perspective  55,87 % 46,03 % -9,84% Tennis Club Scorecard
Indicators
Training Sessions’ Duration
Number of Tournaments
Number of Coaches
Technical Competence *
* - Information for this metric is limited in sample report Description This category makes it possible to know the measurable ways of how things are occurring in the club.

Graph for Process Perspective

Graph for Process Perspective

Data for Process Perspective

DatesValueWeight
16.03.200955,873
23.03.200919,513
30.03.200941,523
06.04.200956,783
13.04.200945,763
20.04.200972,673
27.04.200953,333
04.05.200946,033


Training Sessions’ Duration

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Training Sessions’ Duration  18,38 14,18 -4,2 hrs Maximize Process Perspective
Description This indicator is equal to the period for which training is imparted to the members, on an average and daily basis.


Graph for Training Sessions’ Duration

Graph for Training Sessions’ Duration

Data for Training Sessions’ Duration

DatesWeightMinMaxValue
16.03.2009382018,38
23.03.200938209,152
30.03.2009382013,376
06.04.2009382017,924
13.04.2009382010,544
20.04.2009382017,636
27.04.2009382012,032
04.05.2009382014,18


Number of Tournaments

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of Tournaments  11,192 8,06 -3,132 # Maximize Process Perspective
Description This KPI is equal to the number of tournaments that are arranged in the club in one year.


Graph for Number of Tournaments

Graph for Number of Tournaments

Data for Number of Tournaments

DatesWeightMinMaxValue
16.03.2009282011,192
23.03.200928208,276
30.03.2009282015,68
06.04.2009282011,432
13.04.2009282015,068
20.04.2009282019,964
27.04.2009282013,64
04.05.200928208,06


Number of Coaches

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of Coaches  8,806 7,852 -0,954 # Maximize Process Perspective
Description Coaches are hired for imparting training to both the members and professional players. The number and capability of coaches is a factor worth considering in this subject.


Graph for Number of Coaches

Graph for Number of Coaches

Data for Number of Coaches

DatesWeightMinMaxValue
16.03.200924108,806
23.03.200924104,378
30.03.200924106,64
06.04.200924104,378
13.04.200924105,518
20.04.200924108,182
27.04.200924105,668
04.05.200924107,852


Maintenance and Compliance Perspective

  Name Start value End value Dynamic Parent Contains
Root Maintenance and Compliance Perspective  78,28 % 51,23 % -27,05% Tennis Club Scorecard
Indicators
‘Rolling Frequency’
Synthetic Court Brooming Frequency
Claying Frequency
Guideline Compliance Index *
* - Information for this metric is limited in sample report Description This group of KPIs gives an idea about the condition of the courts and the extent of compliance with the guidelines.

Graph for Maintenance and Compliance Perspective

Graph for Maintenance and Compliance Perspective

Data for Maintenance and Compliance Perspective

DatesValueWeight
16.03.200978,282
23.03.200948,642
30.03.200938,182
06.04.200955,92
13.04.200932,442
20.04.200943,592
27.04.200924,892
04.05.200951,232


‘Rolling Frequency’

  Name Start value End value Dynamic Measure units Optimization method Parent
Root ‘Rolling Frequency’  3,181 2,845 -0,336 # Maximize Maintenance and Compliance Perspective
Description Courts are to be rolled-over to keep them in playable conditions. For a ‘clay court’, it is of utmost importance. So, by framing this fact in the form of a KPI, one can have an idea about the maintenance aspect of the court.


Graph for ‘Rolling Frequency’

Graph for ‘Rolling Frequency’

Data for ‘Rolling Frequency’

DatesWeightMinMaxValue
16.03.20092143,181
23.03.20092142,074
30.03.20092141,51
06.04.20092143,238
13.04.20092142,704
20.04.20092142,329
27.04.20092141,33
04.05.20092142,845


Synthetic Court Brooming Frequency

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Synthetic Court Brooming Frequency  4,286 3,698 -0,588 # Maximize Maintenance and Compliance Perspective
Description Synthetic Courts are to be cleaned on regular basis to keep those in workable conditions.


Graph for Synthetic Court Brooming Frequency

Graph for Synthetic Court Brooming Frequency

Data for Synthetic Court Brooming Frequency

DatesWeightMinMaxValue
16.03.20093254,286
23.03.20093253,953
30.03.20093253,251
06.04.20093254,535
13.04.20093252,645
20.04.20093253,8
27.04.20093253,119
04.05.20093253,698


Claying Frequency

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Claying Frequency  14,244 9,213 -5,031 # Maximize Maintenance and Compliance Perspective
Description Clay courts need to be ‘clayed’ few times. The number of times this is done can be an important indicator to know about the maintenance aspect of the club. The value can be had on yearly basis.


Graph for Claying Frequency

Graph for Claying Frequency

Data for Claying Frequency

DatesWeightMinMaxValue
16.03.2009361514,244
23.03.2009361511,697
30.03.200936159,483
06.04.200936156,459
13.04.200936157,359
20.04.2009361510,905
27.04.200936156,738
04.05.200936159,213


Improvement Gauging

  Name Start value End value Dynamic Parent Contains
Root Improvement Gauging  72,18 % 26,83 % -45,35% Tennis Club Scorecard
Indicators
Percentage Increase in Participation
Number of Successful Professionals Emerging
Decline in ‘Non-availability’ of Court
Revenue Generation Rise *
* - Information for this metric is limited in sample report Description This set of indicators is to have quantitative ways of knowing the progress club is making in different directions.

Graph for Improvement Gauging

Graph for Improvement Gauging

Data for Improvement Gauging

DatesValueWeight
16.03.200972,182
23.03.200936,842
30.03.200955,662
06.04.200926,82
13.04.200953,562
20.04.200954,862
27.04.200974,222
04.05.200926,832


Percentage Increase in Participation

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Percentage Increase in Participation  47,2 63,92 + 16,72 % Maximize Improvement Gauging
Description This indicator is to know the degree of rise in participation in tournaments and other events organized in the club.


Graph for Percentage Increase in Participation

Graph for Percentage Increase in Participation

Data for Percentage Increase in Participation

DatesWeightMinMaxValue
16.03.200922010047,2
23.03.200922010023,36
30.03.200922010047,92
06.04.200922010074,32
13.04.200922010069,04
20.04.200922010069,2
27.04.200922010099,68
04.05.200922010063,92


Number of Successful Professionals Emerging

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of Successful Professionals Emerging  39,604 12,142 -27,46 % Maximize Improvement Gauging
Description The value of this metric is equal to the number of professionals who made it big in the last one year.


Graph for Number of Successful Professionals Emerging

Graph for Number of Successful Professionals Emerging

Data for Number of Successful Professionals Emerging

DatesWeightMinMaxValue
16.03.2009345039,604
23.03.2009345032,474
30.03.2009345036,568
06.04.200934505,886
13.04.2009345020,882
20.04.2009345027,782
27.04.2009345016,144
04.05.2009345012,142


Decline in ‘Non-availability’ of Court

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Decline in ‘Non-availability’ of Court  89,92 34,76 -55,16 % Maximize Improvement Gauging
Description This KPI is to know the portion of instances that were declined due to non-availability of equipments or court.


Graph for Decline in ‘Non-availability’ of Court

Graph for Decline in ‘Non-availability’ of Court

Data for Decline in ‘Non-availability’ of Court

DatesWeightMinMaxValue
16.03.200933010089,92
23.03.200933010042,53
30.03.200933010065,28
06.04.200933010050,51
13.04.200933010056,39
20.04.200933010052,05
27.04.200933010092,58
04.05.200933010034,76
Created by: AKS-Labs
Report created with Balanced Scorecard Designer at 08.04.2009 21:38:32

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