How to use DataMa Light in Looker Studio


Using DataMa Solutions as a Looker Studio extension is a great way to make your report more insightful with the benefits of both DataMa and Looker Studio.


Here is what you get on this page:

  1. Overview
  2. Features
  3. Installation
  4. Free trial Period
  5. How to use
  6. Read your analysis
  7. Settings
  8. Get more insights
  9. Support and Resources


1. Overview

This document provides detailed documentation for the “Datama Compare - Smart waterfall” Plugin, a powerful extension for LookerStudio. This plugin enhances data analysis capabilities by explaining performance variations with easy to understand data visualization graph.


2. Features


3. Add the extension into your report

In order to use Datama in your report, you need to add a new visualization from the community.

Follow these steps to add Datama in your report :

  1. Edit your report
  2. In the toolbar, click Community visualizations and components Community visualization icon
  3. Click on “Explore more
  4. Select the wanted Datama extension on the list OR choose “Create your own visualization” and put your visualization ID in “Path of manifest file”



4. Get a free trial period

You can get a free trial period of 7 days allowing you to test the full version of the extension by following these steps :

  1. Click on “Trial version” link of Datama footer
  2. On the “Full Extension” card, click on “🚀 Try for free”
  3. Create your Datama account
  4. Get your Trial extension


5. Getting started

Once you’ve imported the extension, here is how you can use it.

1. First think at your use case: You need first to consider which KPI you want to analyse and what are the steps that lead to the main KPI.

2. Prepare your dataset: 4 steps are needed to properly set your dataset.

  1. Main KPI: Define the main KPI you want to compare (e.g. Revenue, Leads, Margin…)
  2. Comparison Dimensions: Define on which elements you want to compare your KPI (e.g. Period: Compare Month over Month, Country: Compare one country to the other…)
    • by default, Datama will select the first two elements of your dimension, or split a date range in two.
  3. Steps: Define the steps that correspond to the funnel that lead to your main KPI. For example (eCommerce funnel, or Finance funnel) See dataset examples
    • To better defined your steps (or metric equation), you can read our dedicated article.
  4. Explanation dimensions: Add Dimensions that will be used to explain the variations of your performance. Each variation will have an interest score to see how important they are to explain your variations.



Below is an example of a funnel with the metrics relation between each steps of the eCommerce funnel.


6. Read your Analysis

To discover more about how to read Waterfall, you can read our dedicated section


7. Advanced Usage

Follow this link to get the full view of the extension Settings.


8. Get more insights

Explore related documentation to understand how to generate insights in Datama Compare


9. Support and Resources

If you require assistance or have any questions, feel free to reach out. We’re here to help! - 📧 Email: Send us an email at contact@datama.fr for any inquiries or support issues. - 🌐 Contact Form: Prefer to use a form? Fill out our online contact form, and we’ll get back to you promptly.