Tips of the week !

Tip of the week #38

Latest release of DataMa hapenned this weekend :slightly_smiling_face: Among others, DataMa prep is now available in beta:test_tube: , which allows you to generate a dataset for DataMa in a simple and visual way, conbining multiple sources No more time wasted with 25 worksheet in Gsheet :nerd_face:

Tip 38

Tip of the week #37

It’s hard to keep up with the frantic release pace of the product team :sweat_smile:

The latest release was a few weeks ago (see the release note)

On the menu is the anomaly detection in DataMa Impact, which allows to quickly identify an abnormal point in the monitoring of a KPI, and then to understand its drivers.

Compatible with the classic Datama sources, you just need to activate the ‘anomaly detection’ toggle at the top left of Impact to see the results appear, which will soon be automatically exportable in a slack or an email :bell:

Read this article to learn more, and contact us for a demo!

Tip 37

Tip of the week #36

📢 Lots of new stuff on the platform this week!
 You have the full list here.

In particular, a great news for analysts whose beautiful graphs always end up in slides (we know some of them 😅 ): you can now download all DataMa graphs and comments on PowerPoint in one click.
 Just click on the “ppt” icon on the top right of the graph.

Boom 💥

Tip 36

Tip of the week #34

Whether in Tableau or PowerBi, transparently display your DataMa graphs 🤓

Find more information on our online documentation ! 📕

Tip 34

Tip of the week #33

Again, another release this week 🎉 !

Within the news, the ability to visualize ratios of your ‘market equation’ side by side.

For instance, the click through rate of each page of a funnel on the same bar chart 

Named ‘Ratio helper’, this visualisation is useful to know which ratio is under/ over performing even before trying to understand the drivers in Pivot.

You can see it by clicking on the ➗ in the settings.

To learn more, click here.

Tip 33

Tip of the week #32

🤔 We often try to improve what drives its performance downwards rather than showing what is already going well … and that’s why we have implemented the functionality: Negative drivers first: ↘️ !!

Tip 32

Tip of the week #30

🚒 Following the events at OVH, here is some information on the situation of DataMa hosting:

Tip 31

Tip of the week #29

🆕 Multiple news on DataMa this week, including some great features. Within them, “right click” 🖱 on DataMa Compare waterfall is now available. You can easily decide to:

Your turn to test it!

Tip 29

Tip of the week #28

Afraid of explaining what’s a mix effect in that meeting with the DataMa Waterfall 😨 ?

Good news, you don’t need to show it. Just de-activate the split between mix and perf in the settings. DataMa will then group the two effects and just show negative and positive total variations instead.

Tip 28

Tip of the week #27

DataMa Pivot now has its own smart comment 📝!
 You can find your insights in bullet points under each chart of DataMa Pivot, as if an analyst would have work to get what you need!

This new feature is part of a set of releases from this week that you can see on

Enjoy 😄

Tip 27

Tip of the week #26

The DataMa team wish you a happy new year 🎉 !
 In case you want to filter out and forget this 2020 year 😷 from your analysis, we have what you need… with the new filter interface you can, in 2 clics:

The launch the calculations by hitting the button at bottom left (‘Enter’ shortcut on your keyboard)

Tip 26

Tip of the week #25

At DataMa, it’s Christmas every day. 🎅

Why? Because you don’t need to wait for December the 25th, to write a wish list to Santa.

Why? Because you don’t need to wait for December the 25th, to write a wish list to Santa. You just need to send us your ideas for features/ improvements by chat, directly in the app or through this channel, and it will go straight in the product pipeline. And pipeline sprint is typically less than 2 weeks for prod… ⏩

Now you’re turn ✏️ and merry Christmas 🎁!

Tip 25

Tip of the week #24

As annouced, new UI of DataMa is now in production on

You can find everything that’s new in the release note here

Within the news, we introduce a home page 🏠, which shows all your workbooks.

Each ‘Card’ is a use case.

From the home, you can easily:

Learn more on the Home here !

Tip 24

Tip of the week #23

DataMa is getting a new look! Christmas comes early this year 🎁

In a few days, you will discover the new DataMa interface, including:

And a multitude of small improvements which are the fruit of your constant feedback… Thank you for your feedback and keep sending us your improvements wishes! 🙏

Tip 23

Tip of the week #22

A quick - yet not dirty - analysis from a spreadsheet into DataMa?

✂️ Just copy the cell range (Ctrl+C) and paste it straight in DataMa (Ctrl + V).

Easy enough?

Tip 22

Tip of the week #21

When you save an analysis in DataMa, and if that analysis is linked to a “live” source (e.g. a Gsheet), DataMa suggests to save the “Start” and “End” settings as dynamic.

Although that might look a little technical 🤓, this feature is quite useful for recurring analysis, because it allows to automatically adjust the time window 🗓.

For instance:

➡️ Therefore your analysis keeps up to date in a automated way, without having to change the settings 🤙!

Tip 21

Tip of the week #20

Because September has just passed and we’ve been working hard all summer, the new backtoschool version 🎒 of DataMa is available in production!

On the agenda:

Thanks to all contributors for their ideas and your constant feedback on the tool!

Stay tune, there’s a lot more to come… 🚀

Tip 20

Tip of the week #19

When we analyze a variation via DataMa COMPARE, we sometimes need to check its significance 🧐

To find this combination of amplitude and power analysis you can of course use DataMa IMPACT, but also within DataMa COMPARE, where you also find the Significance Test functionality. A very useful feature when you want to ensure the interest of the variation that you observe! 💥

Tip 19

Tip of the week #18

In case you’re getting bored at the beach 🏖, we have what you need: DataMa documentation 📖 …

➡️ 🔗 here is you’re best summer read!

And as we acknowledge that we sometimes don’t manage to keep up with the crazy pace of releases in the product, we’ve made you able to contribute on each page and suggest your own modifications by clicking on the “Edit document” link at the top of the page ✍️ ! #communitycontribution #thanksforyourhelp!

Tip of the week #17

As an analyst, we often try to analyse the performance of a segment compared to the rest (for example the performance of the Mobile compared to other devices) … DataMa has just implemented a new feature that does just that! 🤓

Very practical when you don’t want to open 2 windows on your computer to compare variations between them 😉

Tip 17

Tip of the week #16

You don’t have time to open the DataMa interface … receive your analyses directly in your mailbox or on a Slack channel 📨

Tip 16

Tip of the week #15

➡️ Want to find new ideas to leverage DataMa 💡?

Here is a set of ideas and corresponding dataset examples:

Feel free to reach out if you have new ideas that you want to share or build together!

Tip of the week #14

In the new features released during the containment, we find the functionality: Export graph as public URL :bar_chart:

All graphs from DataMa solutions can now be exported to your Tableau, Data Studio dashboards… or to your web browser!

This allows you to enrich your usual reporting with DataMa charts:

The data in this new widget is constantly updated with the data loaded into DataMa.

Note: This feature is enabled on demand, contact us if you want to enable this feature.

Tip of the week #13

When you want to use DataMa, you often wonder about the data… 💻

How do I connect my data into DataMa? How do I get my data (and therefore my charts) updated as I go? One of the solutions…is Google spreadsheet! 💡

You can also use other extensions such as “OWOX BI BigQuery” for your BigQuery queries or the “Supermetrics” add-on for connection to all other applications on the market!

Tip 13

Tip of the week #12

🆕 New header has been released on the platform !

Not only it makes admin functions (new data source, export etc) easier and more intuitive to access, but it also adds some cool features:

Happy to have your feedbacks while testing it!

Note: this new header replaces the “Admin” menu that used to be at bottom left of the page

Tip 12

Tip of the week #11

In these troubled times 😷, you have some of your data that is “non-comparable” in your DataMa Compare analysis (like a distribution channel… that no longer exists 😕!), but you still want it to appear separately in your Waterfall, to only compare your KPIs on comparable things (🍎 to 🍎)?

➢ Create a ‘Scope’ column with ‘In’ for what you want to keep or ‘Out’ for what you want to exclude

➢ DataMa will automatically exclude the “Out” from the analysis and make it appear in a separate block of the waterfall, in light blue “Out of Scope”

See a concrete example ici !

Prepared with ❤️ from home, we think of you and accompany you on all your subjects from a distance!

Tip 11

Tip of the week #10

When using DataMa COMPARE to compare two time periods. You can set up the solution so that your analyses in DataMa are always up-to-date with your latest data. 🏃♀️

All you need to do is:

  1. Load a new source (“Change source” menu) via a “Google Sheet”.
  2. Then select the option “Keep Live connection with Gsheet”.
  3. Once the analysis is in place, you must save the use case by leaving the option “Dynamic saving of Start & End” selected. Be careful that the dates used as Start and End exist in the dataset!
  4. From the interval used for Start and End (1st week compared to the 4th week of the dataset for example), DataMa will reproduce this same interval according to the last existing data…

Once your data updates itself, all you have to do is set up a regular send to your mailbox or a Slack channel and you’re done!

Tip 10

Tip of the week #9

To speed up your analysis we have accelerated the loading of your data. 🚀

In DataMa, you can now:

DataMa recognizes the source directly and offers you to launch the analysis directly!

Tip of the week #8

You can now use DataMa as a Tableau extension ➕ !

You drag and drop the extension provided by DataMa into your Tableau dashboard, and you access from DataMa the data viewed in a Tableau worksheet.

Not only is your data up-to-date with what you already have in Tableau, but your filters and other actions in Tableau are then active in DataMa! 🔄

Tip 8

For more information:

Tip of the week #7

Tip 7

Tip of the week #6

Lost in DataMa :question:

In addition to the documentation, there is now a tutorial that interactively guides you through your first steps on the app 👣

Tip 6

Tip of the week #5

You can easily filter your analyses in DataMa on a part of your source dataset.

Tip of the week #4

As you know, in order to explain your overall performance variation, DataMa independently analyses for each stage each of your dimensions to bring up those that best explain the variation in that stage. But the tool also analyses combinations of dimensions. Either all dimensions combined together (Combined Dimensions) or all pairs of dimensions (Smart Dimension). 👨🔬

Tip of the week #3

In all DataMa solutions, you have the possibility to group together elements of a dimension that represents almost nothing on your performance. 🧐

Useful especially when your data has dimensions with hundreds of different values.

Tip of the week #2

In DataMa Compare and Impact, you can preview the definition of “Start” and “End” using “Overview chart”

Useful in particular if you are not sure of what you want to compare!