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5 EXCEL COMMANDS USED TO CREATE AN INTERACTIVE DASHBOARD
RAMAN DHIMAN
INDIAN INSTITUTE OF MANAGEMENT (IIM) SHILLONG
Also MBA Candidate for IESE Business School, Spain
(FT Global MBA ranking – Rank 7th for IESE)
§  To present Short, Crisp and Clear information to the audience.
(The dashboard which I am going to show you has around 200 excel sheets in the background from which
this dashboard is pulling actual data collected during my research)
§  Top management reviews.
(Management will neither have time or interest to go thru data in my 200 excel sheets, but what they are
interested in is the Short and crisp output in one snapshot)
§  Faster way of consolidating information
(Once you have created the standard tables at the back end for the dashboard, the next time you go for a
research you just need to plug information in the standard tables, and the Output on dashboard will
change automatically)
§  You can make it Interactive / Easy to play with information
(Top Management is always interested in looking at the results if we change one, two or three variables. So
with the help if Dashboard you can select different variables and see what is the effect instantly)
Select an Application type
from Drop down menu, and
all the graphs will change
as per input data in other
sheets
# There is only one variable on this dashboard.You just need to change an “Application Type”, and all
other data as per that application type will get reflected on this DASHBOARD
# There is only one variable on this dashboard.You just need to change an “Application Type”, and all
other data as per that application type will get reflected on this DASHBOARD
Keep track of the excel commands used for arriving at the results
# Keep track of the excel commands used for arriving at the results
Use COUNTIF command to filter the number of occurrences between two values. Such as
between a speed of <50 & <60 Kmph there are 4 occurrences, and then the frequency of
occurrences has been plotted to check the normal distribution
Applica'on	
   1	
   2	
   3	
   4	
   5	
   6	
   7	
  
Gas Cylinder 	
  	
   2	
   2	
  	
  	
   	
  	
   	
  	
   	
  	
  
Mineral Water 	
  	
   2	
   1	
  	
  	
   	
  	
   	
  	
   	
  	
  
Egg Trays 	
  	
   1	
  	
  	
   1	
  	
  	
   	
  	
   	
  	
  
Fruit & Vegetables 2	
   3	
   7	
   2	
   1	
  	
  	
   	
  	
  
Milk Crates 1	
   2	
   2	
  	
  	
   	
  	
   	
  	
   	
  	
  
Milk Cans 	
  	
   	
  	
   2	
   1	
  	
  	
   	
  	
   	
  	
  
White Goods 	
  	
   	
  	
   1	
   1	
  	
  	
   	
  	
   	
  	
  
Oil Drums 	
  	
   	
  	
   2	
   1	
  	
  	
   	
  	
   	
  	
  
Refrigerated Truck 1	
   1	
  	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
Market Load 	
  	
   	
  	
   3	
   1	
   1	
  	
  	
   1	
  
FMCG 	
  	
   	
  	
   5	
   2	
  	
  	
   	
  	
   	
  	
  
Speed Kmph 40	
   50	
   60	
   70	
   80	
   90	
   100	
  
Step 1 – Input the collected data during research
e.g. Five vehicles had a speed of 60 Kmph for FMCG
FMCG Speed
1 0 40 40 Kmph
2 0 50 50 Kmph
3 5 60 60 Kmph
4 2 70 70 Kmph
5 0 80 80 Kmph
6 0 90 90 Kmph
7 0 100 100 Kmph
8
Step 2 – Map the speed data in the format below.
As you will change the “Application Type” in the
Dashboard, this table will automatically map the
speed data for the subject application.
Use “=“ from the Dashboard.
This table takes an input application
from the dashboard, as the
application you selected and maps
the speed data accordingly.
Use INDEX and MATCH command to filter the
data as per the “Application Type” selected.
Create Bar Chart using the Output Speed table
Create Pie Chart using the Output Speed table
# Variable 2: Distance distribution
table on the Dashboard can be
created in the same way
 	
  
SFC	
  407	
  
SFC	
  407	
  
Pick	
  Up	
  
SFC709	
  
SFC	
  909	
  
LPT	
  407	
  
LPT	
  709	
  
Ultra	
  
10.4THD	
  
Ultra	
  9.6	
  
Ultra	
  	
  
LPT	
  909	
  
LPT	
  1109	
  
BB	
  914	
  
BB1214	
  
Eicher	
  
11.10	
  
Eicher	
  
10.50	
  
Eicher	
  
10.90	
  /	
  
Canter	
  
AL	
  Ecomet	
  
HD	
  
Gas Cylinder 3120	
   	
  	
   	
  	
   5080	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   6000	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
Mineral Water 4200	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   5000	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
0	
   2480	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
Egg Trays 	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   6000	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   8000	
   	
  	
  
	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
Fruit &
Vegetables
4000	
   	
  	
   4000	
   3,500	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   3000	
   20000	
   	
  	
   	
  	
   9000	
   	
  	
   6000	
   16000	
  
	
  	
   3000	
   4000	
   6,000	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   17000	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
3000	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   12500	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   12500	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
Milk Crates 3300	
   	
  	
   5000	
   5000	
   	
  	
   6000	
   	
  	
   	
  	
   	
  	
   5000	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
Milk Cans 3179	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
2500	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
5000	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
White Goods 2000	
   	
  	
   	
  	
   	
  	
   4000	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
Oil Drums 2000	
   	
  	
   	
  	
   	
  	
   4000	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   9000	
   	
  	
   	
  	
   	
  	
  
Refrigerated
Truck
	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   5000	
   	
  	
   2500	
   	
  	
  
Market Load 	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   4000	
   	
  	
   	
  	
   	
  	
   7000	
   8000	
   	
  	
   	
  	
   7200	
   	
  	
   	
  	
   7000	
  
	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   8500	
   	
  	
   	
  	
   	
  	
  
FMCG 	
  	
   2500	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   6000	
   	
  	
   	
  	
   1404	
   2500	
   	
  	
   9000	
  
	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   6000	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   10000	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
   	
  	
  
GVW 5950	
   4450	
   7490	
   9050	
   6250	
   7490	
   10400	
   9600	
   8000	
   9600	
   12990	
   9600	
   11990	
   12976	
   5400	
   8720	
   12900	
  
Keb Weight 2526	
   2200	
   2715	
   2760	
   2420	
   2820	
   	
  	
   	
  	
   	
  	
   4200	
   4675	
   4285	
   4545	
   4179	
   2473	
   3198	
   4200	
  
Payload 3424	
   2250	
   4775	
   6290	
   3830	
   4670	
   	
  	
   	
  	
   	
  	
   5400	
   8315	
   5315	
   7445	
   8797	
   2927	
   5522	
   8700	
  
Step 1 – Input the collected
data during research
e.g. For Gas Cylinder
Application actual payload
carried on SFC 407 in 3120 Kgs
Use IF
command to
find out
actual %age
of Overload
w.r.t. to the
legal
payload in
Kgs.
Eg. For Gas
Cylinder
application
SFC 407 has
-9%
Overload
(means it is
9% less
than actual
payload. So
it’s a under
load
application)
Use COUNTIF
command to
make the final
table for
mapping the
%age of
overload.
Eg. For Gas
Cylinder
application
SFC 407 has 2
vehicles those
were Under
load, and 1
vehicle under
10 to 20% of
Overload )
Operating Economics for SFC 407 - LPG Cylinder - HP Gas
Company : HP Gas Location : HP Gas Agency
OUTPUT DATA SHEET No EMI - Old Vehicle INPUT DATA SHEET
Cost Parameters SFC 407 Primary Goods: LPG Gas Cylinder From Chakan to Hadapsar
Initial cost per vehicle 450,000 Data Parameters SFC 407
Finance amount (Rs.) 405,000 Pay load in Tons -
Primary Load Carried in Tons 3.1
REVENUE CALCULATIONS Return load carried in Tons 1.5
Freight rate/ton-km primary load 11.6 Lead distance with onward primary load in Kms 50.0
Freight rate/ton-km secondary load 0.0 Lead distance with return secondary load in Kms 50.0
No of trips per year 600 Distance without load in kms -
Total Ton-km per year 138,000 Total distance per trip 100.0
Total freight earned per year in Rs. 1,080,000 No of trips per month 50.00
Total Load carried per trip(onward+return) in tons 4.6
FIXED COSTS PER YEAR Total number of operative months 12.0
Crew salary per year 156,000 Type of Tyres 	
  Bias	
  	
  
Insurance, taxes and others 6,750
Admin expenses - manager/office/telephone etc - Cost of one new bias ply tyre in Rs 10,000.0
Total Fixed costs per year 162,750 Front axle tyre life in Kms 100,000.0
RUNNING COSTS PER YEAR Drive axle tyre life in Kms 80,000.0
Pay Load Carried in Tons per annum 2760 Cost of maintenance per km in Rs 0.2
Distance per month in Km 5000 Diesel Mileage with primary load in KMPL 8.0
Distance per year in km 60,000 Diesel Mileage with secondary load in KMPL 8.0
Trip Diesel Mileage for one trip in Kmpl 8.0 Diesel Mileage without load in KMPL -
Tyre cost per km in Rs 0.7 Fuel price in Rs 54.8
Fuel cost in Rs/year 410,775 Additional Expenses per ton in Rs -
Tyre cost in Rs/year 42,000 Approx Toll charges per km in Rs 3.4
Maintenance cost in Rs/year 12,000 Finance Data
Toll charges & additional expenses per year in Rs 204,000 Funding amount in % age 90%
Total Running Cost in Rs/year 668,775 Tenure in years 4.0
Finance Costs Per Year - Moratarium period in months -
EMI - Per Year -
TOTAL OPERATING COSTS PER YEAR 831,525 Tenure in months 48.0
Total operating cost per km 13.9 Fixed cost details
Total operating cost per ton-km in Rs 6.03 Vehicle price in Rs 450,000.0
OPERATING PROFIT PER YEAR 248,475 Body Price in Rs -
Finance charges (flat rate) in % age 8.0%
Crew Salary per month in Rs 13,000
Revenue Data
Primary load Freight rate per ton-km in Rs 11.6
Secondary load freight rate per ton-km in Rs -
§  COUNTIF
§  INDEX
§  MATCH
§  IF
§  VLOOKUP
Like this you may create DASHBOARD for any other data type or research as well.
You may please reach out to me for an excel sheet or email me for more
understanding or any support required pertaining to your DASHBOARD problem.
You may reach me on:
raman.pgpex12@iimshillong.in
@United States of America

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How to Create an Interactive DASHBOARD in MS Excel

  • 1. 5 EXCEL COMMANDS USED TO CREATE AN INTERACTIVE DASHBOARD RAMAN DHIMAN INDIAN INSTITUTE OF MANAGEMENT (IIM) SHILLONG Also MBA Candidate for IESE Business School, Spain (FT Global MBA ranking – Rank 7th for IESE)
  • 2. §  To present Short, Crisp and Clear information to the audience. (The dashboard which I am going to show you has around 200 excel sheets in the background from which this dashboard is pulling actual data collected during my research) §  Top management reviews. (Management will neither have time or interest to go thru data in my 200 excel sheets, but what they are interested in is the Short and crisp output in one snapshot) §  Faster way of consolidating information (Once you have created the standard tables at the back end for the dashboard, the next time you go for a research you just need to plug information in the standard tables, and the Output on dashboard will change automatically) §  You can make it Interactive / Easy to play with information (Top Management is always interested in looking at the results if we change one, two or three variables. So with the help if Dashboard you can select different variables and see what is the effect instantly)
  • 3. Select an Application type from Drop down menu, and all the graphs will change as per input data in other sheets # There is only one variable on this dashboard.You just need to change an “Application Type”, and all other data as per that application type will get reflected on this DASHBOARD
  • 4. # There is only one variable on this dashboard.You just need to change an “Application Type”, and all other data as per that application type will get reflected on this DASHBOARD
  • 5. Keep track of the excel commands used for arriving at the results
  • 6. # Keep track of the excel commands used for arriving at the results Use COUNTIF command to filter the number of occurrences between two values. Such as between a speed of <50 & <60 Kmph there are 4 occurrences, and then the frequency of occurrences has been plotted to check the normal distribution
  • 7. Applica'on   1   2   3   4   5   6   7   Gas Cylinder     2   2                   Mineral Water     2   1                   Egg Trays     1       1               Fruit & Vegetables 2   3   7   2   1           Milk Crates 1   2   2                   Milk Cans         2   1               White Goods         1   1               Oil Drums         2   1               Refrigerated Truck 1   1                       Market Load         3   1   1       1   FMCG         5   2               Speed Kmph 40   50   60   70   80   90   100   Step 1 – Input the collected data during research e.g. Five vehicles had a speed of 60 Kmph for FMCG FMCG Speed 1 0 40 40 Kmph 2 0 50 50 Kmph 3 5 60 60 Kmph 4 2 70 70 Kmph 5 0 80 80 Kmph 6 0 90 90 Kmph 7 0 100 100 Kmph 8 Step 2 – Map the speed data in the format below. As you will change the “Application Type” in the Dashboard, this table will automatically map the speed data for the subject application.
  • 8. Use “=“ from the Dashboard. This table takes an input application from the dashboard, as the application you selected and maps the speed data accordingly. Use INDEX and MATCH command to filter the data as per the “Application Type” selected.
  • 9. Create Bar Chart using the Output Speed table Create Pie Chart using the Output Speed table # Variable 2: Distance distribution table on the Dashboard can be created in the same way
  • 10.     SFC  407   SFC  407   Pick  Up   SFC709   SFC  909   LPT  407   LPT  709   Ultra   10.4THD   Ultra  9.6   Ultra     LPT  909   LPT  1109   BB  914   BB1214   Eicher   11.10   Eicher   10.50   Eicher   10.90  /   Canter   AL  Ecomet   HD   Gas Cylinder 3120           5080                               6000                       Mineral Water 4200                                           5000                       0   2480                                                               Egg Trays                     6000                                       8000                                                                           Fruit & Vegetables 4000       4000   3,500                       3000   20000           9000       6000   16000       3000   4000   6,000                           17000                           3000                                       12500                                                                   12500                           Milk Crates 3300       5000   5000       6000               5000                               Milk Cans 3179                                                                   2500                                                                   5000                                                                   White Goods 2000               4000                                                                                                                       Oil Drums 2000               4000                                   9000               Refrigerated Truck                                                     5000       2500       Market Load                     4000               7000   8000           7200           7000                                                       8500               FMCG     2500                                   6000           1404   2500       9000                                           6000                                                                   10000                           GVW 5950   4450   7490   9050   6250   7490   10400   9600   8000   9600   12990   9600   11990   12976   5400   8720   12900   Keb Weight 2526   2200   2715   2760   2420   2820               4200   4675   4285   4545   4179   2473   3198   4200   Payload 3424   2250   4775   6290   3830   4670               5400   8315   5315   7445   8797   2927   5522   8700   Step 1 – Input the collected data during research e.g. For Gas Cylinder Application actual payload carried on SFC 407 in 3120 Kgs
  • 11. Use IF command to find out actual %age of Overload w.r.t. to the legal payload in Kgs. Eg. For Gas Cylinder application SFC 407 has -9% Overload (means it is 9% less than actual payload. So it’s a under load application)
  • 12. Use COUNTIF command to make the final table for mapping the %age of overload. Eg. For Gas Cylinder application SFC 407 has 2 vehicles those were Under load, and 1 vehicle under 10 to 20% of Overload )
  • 13. Operating Economics for SFC 407 - LPG Cylinder - HP Gas Company : HP Gas Location : HP Gas Agency OUTPUT DATA SHEET No EMI - Old Vehicle INPUT DATA SHEET Cost Parameters SFC 407 Primary Goods: LPG Gas Cylinder From Chakan to Hadapsar Initial cost per vehicle 450,000 Data Parameters SFC 407 Finance amount (Rs.) 405,000 Pay load in Tons - Primary Load Carried in Tons 3.1 REVENUE CALCULATIONS Return load carried in Tons 1.5 Freight rate/ton-km primary load 11.6 Lead distance with onward primary load in Kms 50.0 Freight rate/ton-km secondary load 0.0 Lead distance with return secondary load in Kms 50.0 No of trips per year 600 Distance without load in kms - Total Ton-km per year 138,000 Total distance per trip 100.0 Total freight earned per year in Rs. 1,080,000 No of trips per month 50.00 Total Load carried per trip(onward+return) in tons 4.6 FIXED COSTS PER YEAR Total number of operative months 12.0 Crew salary per year 156,000 Type of Tyres  Bias     Insurance, taxes and others 6,750 Admin expenses - manager/office/telephone etc - Cost of one new bias ply tyre in Rs 10,000.0 Total Fixed costs per year 162,750 Front axle tyre life in Kms 100,000.0 RUNNING COSTS PER YEAR Drive axle tyre life in Kms 80,000.0 Pay Load Carried in Tons per annum 2760 Cost of maintenance per km in Rs 0.2 Distance per month in Km 5000 Diesel Mileage with primary load in KMPL 8.0 Distance per year in km 60,000 Diesel Mileage with secondary load in KMPL 8.0 Trip Diesel Mileage for one trip in Kmpl 8.0 Diesel Mileage without load in KMPL - Tyre cost per km in Rs 0.7 Fuel price in Rs 54.8 Fuel cost in Rs/year 410,775 Additional Expenses per ton in Rs - Tyre cost in Rs/year 42,000 Approx Toll charges per km in Rs 3.4 Maintenance cost in Rs/year 12,000 Finance Data Toll charges & additional expenses per year in Rs 204,000 Funding amount in % age 90% Total Running Cost in Rs/year 668,775 Tenure in years 4.0 Finance Costs Per Year - Moratarium period in months - EMI - Per Year - TOTAL OPERATING COSTS PER YEAR 831,525 Tenure in months 48.0 Total operating cost per km 13.9 Fixed cost details Total operating cost per ton-km in Rs 6.03 Vehicle price in Rs 450,000.0 OPERATING PROFIT PER YEAR 248,475 Body Price in Rs - Finance charges (flat rate) in % age 8.0% Crew Salary per month in Rs 13,000 Revenue Data Primary load Freight rate per ton-km in Rs 11.6 Secondary load freight rate per ton-km in Rs -
  • 14.
  • 15. §  COUNTIF §  INDEX §  MATCH §  IF §  VLOOKUP
  • 16. Like this you may create DASHBOARD for any other data type or research as well. You may please reach out to me for an excel sheet or email me for more understanding or any support required pertaining to your DASHBOARD problem. You may reach me on: raman.pgpex12@iimshillong.in @United States of America