KPI Dashboard – Revisited

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This post is part of Excel Dashboard Week

Background:

In 2008, I received an email from Robert Mundigl, which was the start of a life-long friendship. Robert asked me if he can teach us how to make KPI dashboards using Excel. I gladly said yes because I am always looking for new ways to use Excel.

The original KPI dashboards using Excel article was so popular. They still help around 12,000 people around the globe every month. Many of our regular readers and members have once started their journey on Chandoo.org from these articles.

In this article, we will revisit the dashboard and give it a fresh new spin using Excel 2007.

KPI Dashboard – Reconstructed in Excel 2007

KPI Dashboard – Snapshot

First, take a look at the dashboard I have constructed. This uses almost the same data as Robert’s original dashboard, but adds a lot of new features etc.

KPI Dashboard in Excel - Snapshot

KPI Dashboard – Demo Video

[Watch the video on YouTube]

How is this KPI Dashboard Constructed?

It would take me 2300 words and 7 cups of coffee to type out the entire instruction. So I will instead tell you what new things I have added to it and how they are done.

Note: For a detailed step-by-step instruction, please consider joining Excel School because this is a 3 part, 120 minute lesson in our class.

Changes to the KPI Dashboard:

I have made the following changes to the original dashboard:

  • Added a top bar where we show top 3 products in each KPI
  • Added ability to restore to original sort order (as per the input data in Data sheet)
  • Instead of showing triangle arrows, used conditional formatting arrow icons – green for values >=90th percentile and red for <= 10th percentile for any given KPI.
  • Added individual KPI targets by product (instead of same KPI targets for all products). Also, changed the bar chart visualization to show target markers.
  • Added ability to switch on/off the target indicators.
  • Added a KPI distribution chart and ability to search by any product.

Changes to the KPI Dashboard - Excel Dashboards

How are these changes made?

Restoring original sort-order:

For this, I have used the product numbers (values 1 to 100) in Data sheet and sorted them on ascending order. When you click on the product column’s sort button, in the background I just use the product numbers column to sort the KPIs.

Percentile Indicators:

This is the same technique as alert icons in dashboard. Just that I also showed green icons.

Turning on / off the KPI target indicators:

Based on the check-box setting, I return #N/A (thru NA() formula) or actual target value to the chart’s source data range. Rest of the puzzle, you can figure out.

The technique is also explained here: Dynamic Excel Chart with Checkboxes.

Search by Product & Highlight KPI values:

For this I have used an active-x text box and linked it to a cell (L22). Then, I used COUNTIF with wild-card search to locate if a product matches the input or not. [More on the wild-card search technique]

KPI Distribution Chart:

This is an area chart, re-sized to fit inside the space. The red-lines are y-error bars and they are drawn for products that match the search criteria.

Download the KPI Dashboard Workbook

Click here to download the Excel workbook with the KPI Dashboard.

Thanks you Robert:

Special thanks to Robert for such a beautiful dashboard. Visit his clearlyandsimply blog to get some more awesome dashboard / Excel ideas.

How would you have designed the KPI Dashboard?

Share your views on the above dashboard. Also, tell me how you would have designed the same. What charts / tables will you retain. What will you remove and what will you add.

Share your ideas using comments.

More Resources on Excel Dashboards:

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12 Responses to “29 Excel Formula Tips for all Occasions [and proof that PHD readers truly rock]”

  1. Peder Schmedling says:

    Some great contributions here.
    Gotta love the Friday 13th formula 😀

  2. Aires says:

    Great tips from you all! Thanks a lot for sharing! bsamson, particularly you helped me on a terribly annoying task. 🙂

    (BTW, Chandoo, it's not exactly "Find if a range is normally distributed" what my suggestion does. It checks if two proportions are statistically different. I probably gave you a bad explanation on twitter, but it'd be probably better if you fix it here... 🙂 )

  3. John Franco says:

    Great compilation Chandoo

    For the "Clean your text before you lookup"
    =VLOOKUP(CLEAN(TRIM(E20)),F5:G18,2,0)

    I would like to share a method to convert a number-stored-as-text before you lookup:

    =VLOOKUP(E20+0,F5:G18,2,0)

  4. Chandoo says:

    @Peder, yeah, I loved that formula
    @Aires: Sorry, I misunderstood your formula. Corrected the heading now.
    @John.. that is a cool tip.

  5. Eric Lind says:

    Hey Chandoo,

    That p-value formula is really great for a statistics person like me.

    What a p-value essentially is, is the probability that the results obtained from a statistical test aren't valid. So for example, if my p value is .05, there's a 5% probability that my results are wrong.

    You can play with this if you install the Data Analysis Toolpak (which will perform some statistical tests for you AND provide the P Value.)

    Let's say for example I've got two weeks of data (separated into columns) with the number of hours worked per day. I want to find out if the total number of hours I worked in week two were really all the different than week one.

    Week1 Week2
    10 11
    12 9
    9 10
    7 8
    5 8

    Go to Data > Data Analysis > T-Test Assuming Unequal Variances > OK

    In the Variable 1 Box, select the range of data for week 1.
    In the Variable 2 Box, select the range of data for week 2.
    Check "Labels"
    In the Alpha box, select a value (in percentage terms) for how tolerant you are of error.

    .05 is the general standard; that is to say I am willing to accept a 95% level of confidence that my result is accuarate.

    Select a range output.

    Excel calculates a number of results: Average (mean) for each week's data, etc.

    You'll notice however that there are two P Values; one-tail and two-tail. (one tail tests are for > or .05), the number of hours I worked in week two is statistically equivalent to the number of hours I worked in week one.

    So here’s a way you might want to use this. You put up a new entry on your blog. You think it’s the best entry ever! So you pull your webstats for this week and compare it to last week. You gather data for each week on the length of time a visitor spends on your website. The question you’re trying to prove statistically is whether there’s an average increase in the amount of time spent on your website this week as compared to last week (as a result of your fancy new blog post). You can run the same statistical test I illustrated above to find out. Incidentally, it matters very little to the stat test whether the quantity of visitors differs or not.

    Anyhow, the Data Analysis toolpack doesn't perform a lot of stat tests that folks like me would like to have access to. In those cases I have to either use different software, or write some very complicated mathematical formulas. Having this p-value formula makes my life a LOT easier!

    Thanks!

    Eric~

  6. Balaji OS says:

    Fantastic stuf..One line explanation is cool.
    Thanks to all the contributors

    OS

  7. Locke says:

    Take FirstName, MI, LastName in access (you can fix it to work in excel) capitalize first letter of each and lowercase the rest and add ". " if MI exists then same for last name:
    Full Name: Format(Left([FirstName],1),">") & Format(Right([FirstName]),Len([FirstName])-1),"") & ". ","") & Format(Left([LastName],1),">") & Format(Right([LastName],Len([LastName])-1),"<")

    I teach excel, access, etc etc for a living and i have my access students build this formula one step at a time from the inside out to show how formulas can be made even if it looks complicated. Yes I know I could just do IsNull([MI]) and reverse the order in the Iif() function but the point here is to nest as many functions as possible one by one (also I illustrate how it will fail without the Not() as it is)

  8. Johan says:

    Extract the month from a date
    The easiest formula for this is =MONTH(a1)
    It will return a 1 for January, 2 for February etc.

  9. anjali says:

    if in a column we write the value of total person for eg. 10 if we spent 1.33 paise each person then how we get total amount in next column and the result will in round form plzzzzz solve my problem sir................... thank u

  10. Hui... says:

    @Anjali

    If the value 10 is in B2 and 1.33 paise is in C2 the formula in D2 could be =B2*C2

    If the values are a column of values you can copy the formula down by copy/paste or drag the small black handle at the bottom right corner of cell D2

  11. sajid says:

    kindly share with me new forumulas.

  12. Biswajit Baidya says:

    How to convert a figure like 870.70 into 870 but 871.70 into 880 using excel formula ? Please help.

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