How to use Datama Light in Qlik


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


Here is what you get on this page:

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


1. Overview

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


2. Features


3. Add the extension to your list of Qlik extensions

In order to use Datama in your report, you first need to add a new extension to your Management Console.

To add the Datama extension to Qlik Sense Online, follow these steps :

  1. Open your Management console
  2. On the left side panel, click Extensions
  3. Click on the Add button on the top right of the page
  4. Then browse your file and add the extension
  5. Finally, click Upload



4. Add the extension into your app

Follow these steps to add Datama in your app :

  1. From the Analytics Services page, open your App
  2. Click on the sheet you want to use Datama on
  3. If you are not in edit mode, click on Edit sheet
  4. Make sure Advanced options is turned on
  5. On the Assets panel on the left, click Custom objects
  6. Click on Extension
  7. Drag and drop the Datama extension in your sheet



5. 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


6. 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.


7. Read your Analysis

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


8. Advanced Usage

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


9. Get more insights

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


10. 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.