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Tata Motors Dashboard in Excel: Car Sales, EV Share, Fuel Mix, Discount and Delivery Wait

A car maker sells through dealers. It watches units, EV and CNG share, discounts and how long buyers wait. This page gives you a ready Excel dashboard for it. It has 1,500 example rows, 15 KPI cards, 6 charts and 3 drop-down filters.

What you'll learn on this page

  • Why a Tata Motors-style dealer sales business needs a dashboard
  • What is inside each sheet of the workbook
  • What the 15 KPIs mean and the formula behind each
  • How the City, Fuel and Month drop-downs change every number
  • How to add new data safely
  • Common mistakes and how to avoid them

Download the template: tatamotors-dashboard-template.xlsx (Excel workbook, 6 sheets, example data).

Example data only

Every number in this workbook is made up for practice. It is not real Tata Motors data and not an official report. The colours are only inspired by the brand; there is no logo.

Tata Motors-style dealer sales dashboard in Excel: 15 KPI cards, 3 drop-down filters, 6 charts and a Top 5 table, with example data

Figure 1. The Dashboard sheet with all filters set to All (example data)

In short

This Tata Motors-style dealer sales dashboard shows 1,500 example rows on one screen. Pick a filter and all 15 KPI cards and 6 charts change at once. All data is made up for practice.

1. Why this dashboard, what it shows, how to start

Why

A car maker sells through dealers. It watches units, EV and CNG share, discounts and how long buyers wait. Looking at 1,500 rows one by one is slow. A dashboard turns them into a few clear numbers.

What

The dashboard answers questions like these:

  • Units sold: Number of vehicles sold.
  • Avg selling price: Net sales value ÷ units.
  • EV share: Share of units that are electric.
  • Finance penetration: Share of buyers who took a vehicle loan.

How

  1. Download tatamotors-dashboard-template.xlsx.
  2. Open it in Excel. Click Enable Editing if Excel asks.
  3. Stay on the first sheet, Dashboard.
  4. Read the 15 cards from left to right, top to bottom.
  5. Then change one drop-down in row 6 and watch the numbers move.

2. What is inside the workbook

Why

Each sheet has one job. When you know the job, you know where to look and what not to touch.

What

Sheet What it holds
Dashboard 15 KPI cards, 3 yellow drop-down filters, 6 charts and a Top 5 table.
Data The example rows, one row per vehicle sold. The last column, Inc, is a formula.
Calc Small helper tables (by month, by city and so on) that feed the charts.
Rules & Instructions How to use it, what each KPI means, data rules, how to add data, do's and don'ts.
Formulas used Every formula in the file, cell by cell, with what it does.
Lists The values shown in each drop-down list.

The Data sheet has these columns: SaleID, Month, City, Dealer, Model, Segment, Fuel, Variant, ExShowroom, Discount, NetPrice, Finance, Exchange, LeadToSaleDays, DeliveryDays, Buyer, Rating and Inc.

How

  1. Click each sheet tab at the bottom once.
  2. On Data, press Ctrl+Down to see the last row.
  3. On Rules & Instructions, read section 3 (data rules) before you type anything.
  4. On Formulas used, find any formula you want to learn.

3. The 15 KPIs: what each one means

Why

KPI means Key Performance Indicator: one number that tells you if the business is doing well. A KPI is useful only if everyone reads it the same way.

What

Example values are for all rows (every filter set to All). In the formulas, Data[Column] means that whole column on the Data sheet; in the workbook it is written as a range like Data!$B$2:$B$1501.

KPI What it means Formula (Dashboard cell) Example value
Units sold Number of vehicles sold. =COUNTIFS(Data[Inc],1)
Dashboard!B9
1,500
Net sales value Ex-showroom price minus discount, all units. =SUMIFS(Data[NetPrice],Data[Inc],1)
Dashboard!E9
₹1,94,03,51,000
Avg selling price Net sales value ÷ units. =IFERROR((SUMIFS(Data[NetPrice],Data[Inc],1))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!H9
₹12,93,567
Avg discount Discount ÷ ex-showroom value. Target rule: card turns red when the value is > 0.025. =IFERROR((SUMIFS(Data[Discount],Data[Inc],1))/(SUMIFS(Data[ExShowroom],Data[Inc],1)),0)
Dashboard!K9
2.17%
EV share Share of units that are electric. Target rule: card turns green when the value is ≥ 0.15. =IFERROR((COUNTIFS(Data[Inc],1,Data[Fuel],"EV"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!N9
19.7%
CNG share Share of CNG vehicles. =IFERROR((COUNTIFS(Data[Inc],1,Data[Fuel],"CNG"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!B13
25.3%
SUV share Share of units that are SUVs. =IFERROR((COUNTIFS(Data[Inc],1,Data[Segment],"SUV")+COUNTIFS(Data[Inc],1,Data[Segment],"Compact SUV"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!E13
57.0%
Top-variant mix Share of units sold in the Top variant. =IFERROR((COUNTIFS(Data[Inc],1,Data[Variant],"Top"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!H13
26.3%
Finance penetration Share of buyers who took a vehicle loan. =IFERROR((COUNTIFS(Data[Inc],1,Data[Finance],"Yes"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!K13
72.9%
Exchange share Share of sales with an old-vehicle exchange. =IFERROR((COUNTIFS(Data[Inc],1,Data[Exchange],"Yes"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!N13
22.7%
Avg lead-to-sale Days from first enquiry to booking. =IFERROR(AVERAGEIFS(Data[LeadToSaleDays],Data[Inc],1),0)
Dashboard!B17
17.6 days
Avg delivery wait Days from booking to delivery. Target rule: card turns red when the value is > 21. =IFERROR(AVERAGEIFS(Data[DeliveryDays],Data[Inc],1),0)
Dashboard!E17
16.5 days
Commercial units Commercial vehicles sold. =COUNTIFS(Data[Inc],1,Data[Segment],"Commercial")
Dashboard!H17
224
Fleet & business share Share of units bought by fleets and businesses. =IFERROR((COUNTIFS(Data[Inc],1,Data[Buyer],"<>Individual"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!K17
34.3%
Owner rating Average buyer rating at delivery. Target rule: card turns green when the value is ≥ 4.2. =IFERROR(AVERAGEIFS(Data[Rating],Data[Inc],1),0)
Dashboard!N17
4.28 ★

How

  1. Read the small grey line under each card: it says what the card counts.
  2. A green card meets its target rule. A red card needs attention.
  3. Click a card and look at the formula bar to see the real formula.
  4. Change a filter, for example City = Pune, and see which cards turn red or green.

4. The drop-down filters

Why

A total for the whole business hides problems. Filters let you look at one City, one Fuel or one Month at a time.

What

Row 6 has three yellow cells with drop-down lists: City, Fuel and Month. Each list starts with All. The Data sheet has one extra column, Inc (include). Its formula gives 1 when the row matches all three filters, otherwise 0:

=IF(AND(OR(Dashboard!$C$6="All",C2=Dashboard!$C$6),OR(Dashboard!$F$6="All",G2=Dashboard!$F$6),OR(Dashboard!$I$6="All",B2=Dashboard!$I$6)),1,0)

Every KPI and chart uses Data[Inc],1 as its first condition, so only matching rows are counted.

How

  1. Click the yellow cell next to City.
  2. Click the small arrow and pick a value.
  3. Look at the line 'Rows in view' to see how many rows match.
  4. Pick All to remove that filter.
  5. Set all three back to All before you save.

5. The charts and the Top 5 table

Why

Numbers tell you how much. Charts show you where and when: which month dropped, which city leads.

What

  • Units by model
  • Fuel mix
  • Monthly units by fuel
  • Delivery wait by fuel (days)
  • Avg selling price by model
  • Units by variant, discount line
  • Table: Top 5 dealers by net sales (uses INDEX, MATCH and LARGE)

Each chart reads a small table on the Calc sheet. Those tables also use the Inc column, so the charts follow the filters.

How

  1. Point at a bar or line to see its exact value.
  2. To see where a chart's numbers come from, right-click it and choose Select Data.
  3. Open the Calc sheet and find the table with the same title.
  4. Do not type in Calc; it is all formulas.

6. How to add new data

Why

A dashboard is only useful if you keep feeding it. Adding rows the wrong way breaks totals without any error.

What

Column What it holds Rule
SaleID, Month Sale code, month Unique
City, Dealer Example dealers (2 per city) Exact
Model, Segment Example model codes (not real models) Exact
Fuel, Variant Petrol/Diesel/CNG/EV; Base/Mid/Top Exact
ExShowroom, Discount, NetPrice ₹ example prices NetPrice = ExShowroom - Discount
Finance, Exchange Loan taken; old car exchanged Yes/No
LeadToSaleDays, DeliveryDays Days Whole numbers
Buyer, Rating Individual/Fleet/Business; 1-5 One decimal

How

  1. Go to the first empty row under the Data table.
  2. Type or paste the new rows. Keep the same spelling as the lists (for example Pune).
  3. Check that Inc filled down by itself (it shows 1 or 0).
  4. The formulas read rows 2 to 1501. If your data goes past row 1501, use Find & Replace on the Dashboard and Calc sheets to change 1501 to your new last row.
  5. Press F9 if numbers do not update, then set the filters to All and compare totals.

Use it in 3 steps

1) Open the Dashboard sheet. 2) Pick a value in a yellow cell in row 6, like City = Pune. 3) Read the cards: green is good, red needs attention.

7. Formulas used

This is the same list as the 'Formulas used' sheet. A formula marked 'copied down' is the same in the rows below it.

Cell Formula What it does
Data!R2 =IF(AND(OR(Dashboard!$C$6="All",C2=Dashboard!$C$6),OR(Dashboard!$F$6="All",G2=Dashboard!$F$6),OR(Dashboard!$I$6="All",B2=Dashboard!$I$6)),1,0) Inc flag: 1 when the row matches every Dashboard filter (copied down every row)
Dashboard!K6 ="Rows in view: "&TEXT(SUM(Data!$R$2:$R$1501),"#,##0")&" of 1,500 | Yellow cells = drop-down filters" Counts rows in view
Dashboard!B9 =COUNTIFS(Data!$R$2:$R$1501,1) KPI: Units sold
Dashboard!E9 =SUMIFS(Data!$K$2:$K$1501,Data!$R$2:$R$1501,1) KPI: Net sales value
Dashboard!H9 =IFERROR((SUMIFS(Data!$K$2:$K$1501,Data!$R$2:$R$1501,1))/(COUNTIFS(Data!$R$2:$R$1501,1)),0) KPI: Avg selling price
Dashboard!K9 =IFERROR((SUMIFS(Data!$J$2:$J$1501,Data!$R$2:$R$1501,1))/(SUMIFS(Data!$I$2:$I$1501,Data!$R$2:$R$1501,1)),0) KPI: Avg discount
Dashboard!N9 =IFERROR((COUNTIFS(Data!$R$2:$R$1501,1,Data!$G$2:$G$1501,"EV"))/(COUNTIFS(Data!$R$2:$R$1501,1)),0) KPI: EV share
Dashboard!B13 =IFERROR((COUNTIFS(Data!$R$2:$R$1501,1,Data!$G$2:$G$1501,"CNG"))/(COUNTIFS(Data!$R$2:$R$1501,1)),0) KPI: CNG share
Dashboard!E13 =IFERROR((COUNTIFS(Data!$R$2:$R$1501,1,Data!$F$2:$F$1501,"SUV")+COUNTIFS(Data!$R$2:$R$1501,1,Data!$F$2:$F$1501,"Compact SUV"))/(COUNTIFS(Data!$R$2:$R$1501,1)),0) KPI: SUV share
Dashboard!H13 =IFERROR((COUNTIFS(Data!$R$2:$R$1501,1,Data!$H$2:$H$1501,"Top"))/(COUNTIFS(Data!$R$2:$R$1501,1)),0) KPI: Top-variant mix
Dashboard!K13 =IFERROR((COUNTIFS(Data!$R$2:$R$1501,1,Data!$L$2:$L$1501,"Yes"))/(COUNTIFS(Data!$R$2:$R$1501,1)),0) KPI: Finance penetration
Dashboard!N13 =IFERROR((COUNTIFS(Data!$R$2:$R$1501,1,Data!$M$2:$M$1501,"Yes"))/(COUNTIFS(Data!$R$2:$R$1501,1)),0) KPI: Exchange share
Dashboard!B17 =IFERROR(AVERAGEIFS(Data!$N$2:$N$1501,Data!$R$2:$R$1501,1),0) KPI: Avg lead-to-sale
Dashboard!E17 =IFERROR(AVERAGEIFS(Data!$O$2:$O$1501,Data!$R$2:$R$1501,1),0) KPI: Avg delivery wait
Dashboard!H17 =COUNTIFS(Data!$R$2:$R$1501,1,Data!$F$2:$F$1501,"Commercial") KPI: Commercial units
Dashboard!K17 =IFERROR((COUNTIFS(Data!$R$2:$R$1501,1,Data!$P$2:$P$1501,"<>Individual"))/(COUNTIFS(Data!$R$2:$R$1501,1)),0) KPI: Fleet & business share
Dashboard!N17 =IFERROR(AVERAGEIFS(Data!$Q$2:$Q$1501,Data!$R$2:$R$1501,1),0) KPI: Owner rating
Calc!B5 =COUNTIFS(Data!$R$2:$R$1501,1,Data!$E$2:$E$1501,$A5) By model: Units for Hatch H1 (copied down)
Calc!C5 =SUMIFS(Data!$K$2:$K$1501,Data!$R$2:$R$1501,1,Data!$E$2:$E$1501,$A5) By model: Net sales for Hatch H1 (copied down)
Calc!D5 =IFERROR(C5/B5,0) By model: Avg price for Hatch H1 (copied down)
Calc!E5 =IFERROR(COUNTIFS(Data!$R$2:$R$1501,1,Data!$E$2:$E$1501,$A5,Data!$G$2:$G$1501,"EV"),0) By model: EV units for Hatch H1 (copied down)
Calc!B16 =COUNTIFS(Data!$R$2:$R$1501,1,Data!$G$2:$G$1501,$A16) By fuel: Units for Petrol (copied down)
Calc!C16 =IFERROR(AVERAGEIFS(Data!$O$2:$O$1501,Data!$R$2:$R$1501,1,Data!$G$2:$G$1501,$A16),0) By fuel: Delivery days for Petrol (copied down)
Calc!B24 =COUNTIFS(Data!$R$2:$R$1501,1,Data!$B$2:$B$1501,$A24,Data!$G$2:$G$1501,"Petrol") By month (units by fuel): Petrol for Jan (copied down)
Calc!C24 =COUNTIFS(Data!$R$2:$R$1501,1,Data!$B$2:$B$1501,$A24,Data!$G$2:$G$1501,"Diesel") By month (units by fuel): Diesel for Jan (copied down)
Calc!D24 =COUNTIFS(Data!$R$2:$R$1501,1,Data!$B$2:$B$1501,$A24,Data!$G$2:$G$1501,"CNG") By month (units by fuel): CNG for Jan (copied down)
Calc!E24 =COUNTIFS(Data!$R$2:$R$1501,1,Data!$B$2:$B$1501,$A24,Data!$G$2:$G$1501,"EV") By month (units by fuel): EV for Jan (copied down)
Calc!B34 =COUNTIFS(Data!$R$2:$R$1501,1,Data!$H$2:$H$1501,$A34) By variant: Units for Base (copied down)
Calc!C34 =IFERROR(SUMIFS(Data!$J$2:$J$1501,Data!$R$2:$R$1501,1,Data!$H$2:$H$1501,$A34)/SUMIFS(Data!$I$2:$I$1501,Data!$R$2:$R$1501,1,Data!$H$2:$H$1501,$A34),0) By variant: Avg discount % for Base (copied down)
Calc!B41 =SUMIFS(Data!$K$2:$K$1501,Data!$R$2:$R$1501,1,Data!$D$2:$D$1501,$A41) By dealer: Net sales for Pune Dealer A (copied down)
Calc!C41 =COUNTIFS(Data!$R$2:$R$1501,1,Data!$D$2:$D$1501,$A41) By dealer: Units for Pune Dealer A (copied down)
Calc!D41 =IFERROR(AVERAGEIFS(Data!$Q$2:$Q$1501,Data!$R$2:$R$1501,1,Data!$D$2:$D$1501,$A41),0) By dealer: Avg rating for Pune Dealer A (copied down)
Calc!E41 =IFERROR(COUNTIFS(Data!$R$2:$R$1501,1,Data!$D$2:$D$1501,$A41,Data!$L$2:$L$1501,"Yes")/C41,0) By dealer: Finance % for Pune Dealer A (copied down)
Calc!F41 =B41+ROW()/1000000 By dealer: Rank key for Pune Dealer A (copied down)
Dashboard!D55 =IFERROR(INDEX(Calc!$A$41:$A$52,MATCH(LARGE(Calc!$F$41:$F$52,$B55),Calc!$F$41:$F$52,0)),"-") Top 5 dealers by net sales: column 'Dealer' (copied down)
Dashboard!F55 =IFERROR(INDEX(Calc!$B$41:$B$52,MATCH(LARGE(Calc!$F$41:$F$52,$B55),Calc!$F$41:$F$52,0)),"-") Top 5 dealers by net sales: column 'Net sales' (copied down)
Dashboard!H55 =IFERROR(INDEX(Calc!$C$41:$C$52,MATCH(LARGE(Calc!$F$41:$F$52,$B55),Calc!$F$41:$F$52,0)),"-") Top 5 dealers by net sales: column 'Units' (copied down)
Dashboard!J55 =IFERROR(INDEX(Calc!$D$41:$D$52,MATCH(LARGE(Calc!$F$41:$F$52,$B55),Calc!$F$41:$F$52,0)),"-") Top 5 dealers by net sales: column 'Avg rating' (copied down)
Dashboard!L55 =IFERROR(INDEX(Calc!$E$41:$E$52,MATCH(LARGE(Calc!$F$41:$F$52,$B55),Calc!$F$41:$F$52,0)),"-") Top 5 dealers by net sales: column 'Finance %' (copied down)

8. Common mistakes

Mistake What goes wrong Fix
Typing ₹ or a comma as text in a number cell SUMIFS and AVERAGEIFS skip text, so totals become too small. Type only the number. The cell format adds ₹.
A different spelling, like an extra space after a name The row never matches the City filter or the Calc tables. Copy values from the Lists sheet, or use Data Validation.
Averaging the per-row values to get Avg selling price An average of averages gives the wrong answer. Divide totals, as the KPI formula does: =IFERROR((SUMIFS(Data[NetPrice],Data[Inc],1))/(COUNTIFS(Data[Inc],1)),0)
Adding rows below row 1501 and not updating the ranges New rows are left out of every KPI. Update the last row number in the formulas (see step 4 above).
Typing over a KPI card or the Inc column The formula is lost and the card stops changing. Press Ctrl+Z, or copy the formula back from the 'Formulas used' sheet.
Showing these numbers as real company results This is example data, not Tata Motors data. Always say 'example data' when you share a screenshot.

9. FAQ

How do I calculate Avg selling price in Excel?

Net sales value ÷ units. The workbook uses =IFERROR((SUMIFS(Data[NetPrice],Data[Inc],1))/(COUNTIFS(Data[Inc],1)),0) in Dashboard!H9.

How do I calculate Avg discount in Excel?

Discount ÷ ex-showroom value. Formula: =IFERROR((SUMIFS(Data[Discount],Data[Inc],1))/(SUMIFS(Data[ExShowroom],Data[Inc],1)),0).

How do the drop-down filters change every KPI?

Each Data row has an Inc formula. It gives 1 when the row matches all three drop-downs (City, Fuel, Month), or the drop-down says All. Every KPI counts only rows where Inc = 1.

Is this real Tata Motors data?

No. All 1,500 rows are made up for practice. The colours are only inspired by the brand. It is not an official Tata Motors report.

Which Excel version do I need?

Excel 2010 or newer works, because the file uses COUNTIFS, SUMIFS, AVERAGEIFS, IFERROR, INDEX and MATCH. We checked it in LibreOffice Calc with zero errors.

10. Practice tasks

  1. Set City = Pune. Write down the new value of Avg selling price.
  2. Which model is highest in the chart 'Units by model'?
  3. Add one new row to the Data sheet and check that Units sold changes.
  4. Change one target rule in Conditional Formatting (Home › Conditional Formatting › Manage Rules) and watch the card colour.

Remember

KPI cards, the Calc sheet and the Inc column hold formulas, so never type on them. Add new data only under the Data table, with the same spellings.

Related: all Excel dashboards · Excel dashboards chapter · SUMIFS, COUNTIFS and AVERAGEIFS · KPI cards in Excel

Loading practice tasks...

  1. Total parcels (Easy): Add up Parcels in D2:D11.
  2. Average cost (Easy): Average of E2:E11, rounded to 2 decimals.
  3. Rows in Royal Mail (Easy): How many rows have Carrier "Royal Mail"?
  4. Largest parcels (Easy): The largest value in D2:D11.
  5. Parcels for Royal Mail (Medium): Total of D2:D11 where B is "Royal Mail".
  6. Royal Mail in London (Medium): Total of D2:D11 where B is "Royal Mail" and C is "London".
  7. Best in Royal Mail (Medium): Largest E2:E11 value where B is "Royal Mail".
  8. Value of row 2 (Medium): D2 times E2.
  9. Look up Olivia Brown (Medium): The Parcels for "Olivia Brown" (use a lookup on column A).
  10. Total value (Hard): Sum of D times E for all rows.
  11. Share of Royal Mail (Hard): Share of D2:D11 that is "Royal Mail", rounded to 3 decimals.
  12. Rank of row 2 (Hard): Rank of D2 among D2:D11 (largest = 1).
  13. Above average? (Hard): "Above" if E2 is above the average of E2:E11, else "Below".