In our new series, we will try to give a detailed representation of several BI tools using the SuperStore Sales dataset. The data in SuperStore Sales reflect sales and profit of the retail chain in US dollars.
In the upcoming blog post, we will discuss a real problem statement that could arise when creating a dashboard based on the SuperStore Sales data and design a functional layout to provide clear answers. Throughout this task, we’ll stick with a predefined set of colors to make the comparison more unbiased.
Next, we’re going to create a dashboard that would assist in data-based decision-making with each of the BI tools. We also plan to involve industry experts to learn from their experience.
A complete list of BI systems and tools to be tested in our experiment is provided below. I want to welcome everyone who is willing to help us in solving this challenge to message me on Telegram – @valiotti. I will be glad to hear from you. Although it’s a non-profit project, it’ll be really useful for the open-source community.
We plan to cover the following list of tools:
Free Open Source:
- Apache Superset
- Dash / Plotly
- Google Studio
- Yandex Datalens
- Qlik Sense
- Qlik View
The final goal is to evaluate the BI tools against the following criteria:
- learning curve of BI tool (1 — too hard to learn, 10 — easy)
- tool functionality (1 — very poor functionality, 10 — multifunctional)
- ease of use (1 — very inconvenient, 10 — super convenient)
- compliance of the result (1 — far from the designed layout, 10 — too close to the designed layout and objective)
- visual evaluation (1 — poor appearance, 10 — great visual appearance)
An integral weighted score for each tool will be calculated based on the internal estimates.
The results will be posted to our Telegram channel @leftjoin_en and followers will also be able to share their thoughts on the experiment.
By the end, each tool will be represented as a point in the plane, which will be divided into 4 parts.
This article will be updated with links and ratings as we new posts come out.