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  

SFC7

09  

SFC  909  

LPT  407  

LPT  709  

Ultra  

10.4TH

D  

Ultra  9.6  

Ultra    

LPT  909  

LPT  1109  

BB  914

 

BB12

14  

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