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Infosys Dashboard in Excel: IT Services Revenue, Utilisation, Attrition and Operating Margin

An IT services company sells people's hours to clients. Utilisation, bill rate and attrition decide its profit. This page gives you a ready Excel dashboard for it. It has 1,320 example rows, 15 KPI cards, 6 charts and 3 drop-down filters.

What you'll learn on this page

  • Why a Infosys-style IT services business needs a dashboard
  • What is inside each sheet of the workbook
  • What the 15 KPIs mean and the formula behind each
  • How the Vertical, Centre and Month drop-downs change every number
  • How to add new data safely
  • Common mistakes and how to avoid them

Download the template: infosys-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 Infosys data and not an official report. The colours are only inspired by the brand; there is no logo.

Infosys-style IT services 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 Infosys-style IT services dashboard shows 1,320 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

An IT services company sells people's hours to clients. Utilisation, bill rate and attrition decide its profit. Looking at 1,320 rows one by one is slow. A dashboard turns them into a few clear numbers.

What

The dashboard answers questions like these:

  • Revenue: Billed revenue in ₹ lakh (example).
  • Utilisation: Billable hours ÷ available hours.
  • Revenue per person / mo: Revenue ÷ headcount-months.
  • Cost per hour: Delivery cost ÷ billable hours.

How

  1. Download infosys-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 project per month. 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: Project, Month, Vertical, Service, Centre, Headcount, AvailableHrs, BillableHrs, RevenueLakh, CostLakh, Exits, Offshore, OnTime, CSAT, NewDealTCVcr 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$1321.

KPI What it means Formula (Dashboard cell) Example value
Revenue Billed revenue in ₹ lakh (example). =SUMIFS(Data[RevenueLakh],Data[Inc],1)
Dashboard!B9
₹5,05,875 L
Operating margin (Revenue - delivery cost) ÷ revenue. Target rule: card turns green when the value is ≥ 0.2. =IFERROR((SUMIFS(Data[RevenueLakh],Data[Inc],1)-SUMIFS(Data[CostLakh],Data[Inc],1))/(SUMIFS(Data[RevenueLakh],Data[Inc],1)),0)
Dashboard!E9
23.9%
Utilisation Billable hours ÷ available hours. Target rule: card turns green when the value is ≥ 0.8. =IFERROR((SUMIFS(Data[BillableHrs],Data[Inc],1))/(SUMIFS(Data[AvailableHrs],Data[Inc],1)),0)
Dashboard!H9
82.2%
Avg monthly headcount Headcount ÷ months in view. =IFERROR((SUMIFS(Data[Headcount],Data[Inc],1))/(SUMPRODUCT((Data[Inc]=1)/COUNTIFS(Data[Month],Data[Month],Data[Inc],1))),0)
Dashboard!K9
17,108
Revenue per person / mo Revenue ÷ headcount-months. =IFERROR((SUMIFS(Data[RevenueLakh],Data[Inc],1)*100000)/(SUMIFS(Data[Headcount],Data[Inc],1)),0)
Dashboard!N9
₹4,92,825
Annualised attrition Exits ÷ headcount-months × 12. Target rule: card turns red when the value is > 0.15. =IFERROR((SUMIFS(Data[Exits],Data[Inc],1))/(SUMIFS(Data[Headcount],Data[Inc],1)),0)*12
Dashboard!B13
14.3%
Billable hours Hours charged to clients. =SUMIFS(Data[BillableHrs],Data[Inc],1)
Dashboard!E13
1,41,69,121
Avg bill rate Revenue ÷ billable hours. =IFERROR((SUMIFS(Data[RevenueLakh],Data[Inc],1)*100000)/(SUMIFS(Data[BillableHrs],Data[Inc],1)),0)
Dashboard!H13
₹3,570
Cost per hour Delivery cost ÷ billable hours. =IFERROR((SUMIFS(Data[CostLakh],Data[Inc],1)*100000)/(SUMIFS(Data[BillableHrs],Data[Inc],1)),0)
Dashboard!K13
₹2,715
On-time delivery Share of project-months that met their milestone. Target rule: card turns green when the value is ≥ 0.9. =IFERROR((COUNTIFS(Data[Inc],1,Data[OnTime],"Yes"))/(COUNTIFS(Data[Inc],1)),0)
Dashboard!N13
84.9%
Client CSAT Average client satisfaction score. =IFERROR(AVERAGEIFS(Data[CSAT],Data[Inc],1),0)
Dashboard!B17
4.29 / 5
New deal TCV Total contract value of new deals (₹ crore). =SUMIFS(Data[NewDealTCVcr],Data[Inc],1)
Dashboard!E17
₹3,998.6 cr
Digital + AI share Share of revenue from Digital and AI & data services. =IFERROR((SUMIFS(Data[RevenueLakh],Data[Inc],1,Data[Service],"Digital")+SUMIFS(Data[RevenueLakh],Data[Inc],1,Data[Service],"AI & data"))/(SUMIFS(Data[RevenueLakh],Data[Inc],1)),0)
Dashboard!H17
44.5%
Offshore mix Hours-weighted share of work done offshore. =IFERROR((SUMPRODUCT((Data[Inc]=1)*Data[Offshore]*Data[BillableHrs]))/(SUMIFS(Data[BillableHrs],Data[Inc],1)),0)
Dashboard!K17
72.3%
BFSI share Share of revenue from banking and finance clients. =IFERROR((SUMIFS(Data[RevenueLakh],Data[Inc],1,Data[Vertical],"Banking & Finance"))/(SUMIFS(Data[RevenueLakh],Data[Inc],1)),0)
Dashboard!N17
38.9%

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 Vertical = Banking & Finance, 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 Vertical, one Centre or one Month at a time.

What

Row 6 has three yellow cells with drop-down lists: Vertical, Centre 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$6="All",E2=Dashboard!$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 Vertical.
  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

  • Revenue by vertical
  • Revenue vs cost by month
  • Revenue by service, utilisation line
  • Operating margin by vertical
  • Annualised attrition by centre
  • Exits by month
  • Table: Verticals ranked by revenue (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
Project, Month Example project code per month One row per project per month
Vertical, Service, Centre Industry, service line, delivery city Exact spellings
Headcount, AvailableHrs, BillableHrs People, 168 hrs each, hours billed Billable ≤ Available
RevenueLakh, CostLakh ₹ lakh Decimals
Exits People who left that month Whole number
Offshore Share of hours done offshore 0-1
OnTime, CSAT Milestone met; score 1-5 Yes/No; one decimal
NewDealTCVcr ₹ crore of new deals signed 0 when none

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 Banking & Finance).
  3. Check that Inc filled down by itself (it shows 1 or 0).
  4. The formulas read rows 2 to 1321. If your data goes past row 1321, use Find & Replace on the Dashboard and Calc sheets to change 1321 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 Vertical = Banking & Finance. 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!P2 =IF(AND(OR(Dashboard!$C$6="All",C2=Dashboard!$C$6),OR(Dashboard!$F$6="All",E2=Dashboard!$F$6),OR(Dashboard!$I$6="All",B2=Dashboard!$I$6)),1,0) Inc flag: 1 when the row matches every Dashboard filter (copied down every row)
Dashboard!K6 ="Rows in view: "&TEXT(SUM(Data!$P$2:$P$1321),"#,##0")&" of 1,320 | Yellow cells = drop-down filters" Counts rows in view
Dashboard!B9 =SUMIFS(Data!$I$2:$I$1321,Data!$P$2:$P$1321,1) KPI: Revenue
Dashboard!E9 =IFERROR((SUMIFS(Data!$I$2:$I$1321,Data!$P$2:$P$1321,1)-SUMIFS(Data!$J$2:$J$1321,Data!$P$2:$P$1321,1))/(SUMIFS(Data!$I$2:$I$1321,Data!$P$2:$P$1321,1)),0) KPI: Operating margin
Dashboard!H9 =IFERROR((SUMIFS(Data!$H$2:$H$1321,Data!$P$2:$P$1321,1))/(SUMIFS(Data!$G$2:$G$1321,Data!$P$2:$P$1321,1)),0) KPI: Utilisation
Dashboard!K9 =IFERROR((SUMIFS(Data!$F$2:$F$1321,Data!$P$2:$P$1321,1))/(SUMPRODUCT((Data!$P$2:$P$1321=1)/COUNTIFS(Data!$B$2:$B$1321,Data!$B$2:$B$1321,Data!$P$2:$P$1321,1))),0) KPI: Avg monthly headcount
Dashboard!N9 =IFERROR((SUMIFS(Data!$I$2:$I$1321,Data!$P$2:$P$1321,1)*100000)/(SUMIFS(Data!$F$2:$F$1321,Data!$P$2:$P$1321,1)),0) KPI: Revenue per person / mo
Dashboard!B13 =IFERROR((SUMIFS(Data!$K$2:$K$1321,Data!$P$2:$P$1321,1))/(SUMIFS(Data!$F$2:$F$1321,Data!$P$2:$P$1321,1)),0)*12 KPI: Annualised attrition
Dashboard!E13 =SUMIFS(Data!$H$2:$H$1321,Data!$P$2:$P$1321,1) KPI: Billable hours
Dashboard!H13 =IFERROR((SUMIFS(Data!$I$2:$I$1321,Data!$P$2:$P$1321,1)*100000)/(SUMIFS(Data!$H$2:$H$1321,Data!$P$2:$P$1321,1)),0) KPI: Avg bill rate
Dashboard!K13 =IFERROR((SUMIFS(Data!$J$2:$J$1321,Data!$P$2:$P$1321,1)*100000)/(SUMIFS(Data!$H$2:$H$1321,Data!$P$2:$P$1321,1)),0) KPI: Cost per hour
Dashboard!N13 =IFERROR((COUNTIFS(Data!$P$2:$P$1321,1,Data!$M$2:$M$1321,"Yes"))/(COUNTIFS(Data!$P$2:$P$1321,1)),0) KPI: On-time delivery
Dashboard!B17 =IFERROR(AVERAGEIFS(Data!$N$2:$N$1321,Data!$P$2:$P$1321,1),0) KPI: Client CSAT
Dashboard!E17 =SUMIFS(Data!$O$2:$O$1321,Data!$P$2:$P$1321,1) KPI: New deal TCV
Dashboard!H17 =IFERROR((SUMIFS(Data!$I$2:$I$1321,Data!$P$2:$P$1321,1,Data!$D$2:$D$1321,"Digital")+SUMIFS(Data!$I$2:$I$1321,Data!$P$2:$P$1321,1,Data!$D$2:$D$1321,"AI & data"))/(SUMIFS(Data!$I$2:$I$1321,Data!$P$2:$P$1321,1)),0) KPI: Digital + AI share
Dashboard!K17 =IFERROR((SUMPRODUCT((Data!$P$2:$P$1321=1)*Data!$L$2:$L$1321*Data!$H$2:$H$1321))/(SUMIFS(Data!$H$2:$H$1321,Data!$P$2:$P$1321,1)),0) KPI: Offshore mix
Dashboard!N17 =IFERROR((SUMIFS(Data!$I$2:$I$1321,Data!$P$2:$P$1321,1,Data!$C$2:$C$1321,"Banking & Finance"))/(SUMIFS(Data!$I$2:$I$1321,Data!$P$2:$P$1321,1)),0) KPI: BFSI share
Calc!B5 =SUMIFS(Data!$I$2:$I$1321,Data!$P$2:$P$1321,1,Data!$C$2:$C$1321,$A5) By vertical: Revenue for Banking & Finance (copied down)
Calc!C5 =IFERROR((SUMIFS(Data!$I$2:$I$1321,Data!$P$2:$P$1321,1,Data!$C$2:$C$1321,$A5)-SUMIFS(Data!$J$2:$J$1321,Data!$P$2:$P$1321,1,Data!$C$2:$C$1321,$A5))/SUMIFS(Data!$I$2:$I$1321,Data!$P$2:$P$1321,1,Data!$C$2:$C$1321,$A5),0) By vertical: Margin for Banking & Finance (copied down)
Calc!D5 =IFERROR(AVERAGEIFS(Data!$N$2:$N$1321,Data!$P$2:$P$1321,1,Data!$C$2:$C$1321,$A5),0) By vertical: CSAT for Banking & Finance (copied down)
Calc!E5 =SUMIFS(Data!$O$2:$O$1321,Data!$P$2:$P$1321,1,Data!$C$2:$C$1321,$A5) By vertical: Deal TCV for Banking & Finance (copied down)
Calc!F5 =B5+ROW()/1000000 By vertical: Rank key for Banking & Finance (copied down)
Calc!B16 =SUMIFS(Data!$I$2:$I$1321,Data!$P$2:$P$1321,1,Data!$D$2:$D$1321,$A16) By service line: Revenue for Digital (copied down)
Calc!C16 =IFERROR(SUMIFS(Data!$H$2:$H$1321,Data!$P$2:$P$1321,1,Data!$D$2:$D$1321,$A16)/SUMIFS(Data!$G$2:$G$1321,Data!$P$2:$P$1321,1,Data!$D$2:$D$1321,$A16),0) By service line: Utilisation for Digital (copied down)
Calc!B25 =SUMIFS(Data!$I$2:$I$1321,Data!$P$2:$P$1321,1,Data!$B$2:$B$1321,$A25) By month: Revenue for Jan (copied down)
Calc!C25 =SUMIFS(Data!$J$2:$J$1321,Data!$P$2:$P$1321,1,Data!$B$2:$B$1321,$A25) By month: Cost for Jan (copied down)
Calc!D25 =SUMIFS(Data!$K$2:$K$1321,Data!$P$2:$P$1321,1,Data!$B$2:$B$1321,$A25) By month: Exits for Jan (copied down)
Calc!B35 =SUMIFS(Data!$F$2:$F$1321,Data!$P$2:$P$1321,1,Data!$E$2:$E$1321,$A35) By delivery centre: Headcount-months for Pune (copied down)
Calc!C35 =IFERROR(SUMIFS(Data!$K$2:$K$1321,Data!$P$2:$P$1321,1,Data!$E$2:$E$1321,$A35)/SUMIFS(Data!$F$2:$F$1321,Data!$P$2:$P$1321,1,Data!$E$2:$E$1321,$A35)*12,0) By delivery centre: Attrition for Pune (copied down)
Dashboard!D55 =IFERROR(INDEX(Calc!$A$5:$A$11,MATCH(LARGE(Calc!$F$5:$F$11,$B55),Calc!$F$5:$F$11,0)),"-") Verticals ranked by revenue: column 'Vertical' (copied down)
Dashboard!F55 =IFERROR(INDEX(Calc!$B$5:$B$11,MATCH(LARGE(Calc!$F$5:$F$11,$B55),Calc!$F$5:$F$11,0)),"-") Verticals ranked by revenue: column 'Revenue' (copied down)
Dashboard!H55 =IFERROR(INDEX(Calc!$C$5:$C$11,MATCH(LARGE(Calc!$F$5:$F$11,$B55),Calc!$F$5:$F$11,0)),"-") Verticals ranked by revenue: column 'Margin' (copied down)
Dashboard!J55 =IFERROR(INDEX(Calc!$D$5:$D$11,MATCH(LARGE(Calc!$F$5:$F$11,$B55),Calc!$F$5:$F$11,0)),"-") Verticals ranked by revenue: column 'CSAT' (copied down)
Dashboard!L55 =IFERROR(INDEX(Calc!$E$5:$E$11,MATCH(LARGE(Calc!$F$5:$F$11,$B55),Calc!$F$5:$F$11,0)),"-") Verticals ranked by revenue: column 'Deal TCV' (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 Vertical filter or the Calc tables. Copy values from the Lists sheet, or use Data Validation.
Averaging the per-row values to get Operating margin An average of averages gives the wrong answer. Divide totals, as the KPI formula does: =IFERROR((SUMIFS(Data[RevenueLakh],Data[Inc],1)-SUMIFS(Data[CostLakh],Data[Inc],1))/(SUMIFS(Data[RevenueLakh],Data[Inc],1)),0)
Adding rows below row 1321 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 Infosys data. Always say 'example data' when you share a screenshot.

9. FAQ

How do I calculate Operating margin in Excel?

(Revenue - delivery cost) ÷ revenue. The workbook uses =IFERROR((SUMIFS(Data[RevenueLakh],Data[Inc],1)-SUMIFS(Data[CostLakh],Data[Inc],1))/(SUMIFS(Data[RevenueLakh],Data[Inc],1)),0) in Dashboard!E9.

How do I calculate Utilisation in Excel?

Billable hours ÷ available hours. Formula: =IFERROR((SUMIFS(Data[BillableHrs],Data[Inc],1))/(SUMIFS(Data[AvailableHrs],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 (Vertical, Centre, Month), or the drop-down says All. Every KPI counts only rows where Inc = 1.

Is this real Infosys data?

No. All 1,320 rows are made up for practice. The colours are only inspired by the brand. It is not an official Infosys 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 Vertical = Banking & Finance. Write down the new value of Utilisation.
  2. Which vertical is highest in the chart 'Revenue by vertical'?
  3. Add one new row to the Data sheet and check that Revenue 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 billable hours (Easy): Add up Billable hours in D2:D11.
  2. Average rate per hour (Easy): Average of E2:E11, rounded to 2 decimals.
  3. Rows in Cloud (Easy): How many rows have Practice "Cloud"?
  4. Largest billable hours (Easy): The largest value in D2:D11.
  5. Billable hours for Cloud (Medium): Total of D2:D11 where B is "Cloud".
  6. Cloud in Seattle (Medium): Total of D2:D11 where B is "Cloud" and C is "Seattle".
  7. Best in Cloud (Medium): Largest E2:E11 value where B is "Cloud".
  8. Value of row 2 (Medium): D2 times E2.
  9. Look up Chloe Dubois (Medium): The Billable hours for "Chloe Dubois" (use a lookup on column A).
  10. Total value (Hard): Sum of D times E for all rows.
  11. Share of Cloud (Hard): Share of D2:D11 that is "Cloud", 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".