Data management

Data visualization

Using state-of-the-art data visualizations, we make your data speak for itself to clearly communicate new ideas.
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Reveal the invisible

We help you turn simple numbers into valuable knowledge, supporting your strategic objectives.

We create tailor-made, interactive data visualization tools that bring your information to life. Easy to use, they enable you to explore your data intuitively, discover hidden patterns and trends, and make informed decisions.

The benefits of custom data visualizations?

Full customization

Fully customize the visualization to your specific needs, enabling more options for interactivity.

Efficient design

Tailor-made design allows unprecedented visual representations, 100% adapted to your data and analysis objectives.

Speed and performance

Tailor-made solutions enable you to process complex data and integrate it seamlessly into your visualization.

Steps to custom data visualization

There are three crucial steps in developing a data visualization: the ‘why’, the ‘what’ and the ‘how’. Addressing these three aspects guarantees the success of your visualization project. Each of these phases is iterative and feeds into the others, forming a continuous cycle of improvement and refinement.

01

Why: Your goals

First, it’s essential to identify exactly what questions you’re trying to answer with data visualization. With the help of exploratory workshops, we help you target the most relevant questions according to your objectives and current data.

  • Identify questions to be answered or tasks to be completed
  • Determine which are the highest priorities
02

What: Your data

A rigorous analysis of your current data sources enables us to understand the amplitude and structure of your information. It also enables us to identify trends, outliers and general orders of magnitude. This information is crucial in selecting appropriate visualization techniques.

  • Understand the size and structure of current data
  • Complete preliminary statistical analyses
  • Clean up and centralize data to speed up processing
03

How: The visualization

Once the objectives have been set and the data analyzed, our experts borrow the best techniques and practices in the industry to create a design that gets the job done right.

  • Iterative data visualization design process
  • Data visualization coding
  • Production launch with real data
  • Iterations and continuous improvements

What our clients say

Our visualization tool would not have been what it is without the invaluable collaboration of Witify. The team helped us define the objectives we wanted to achieve with this new tool, and then provided us with clear and effective interfaces. Their team knows how to present data.

Louis Beaumier
Louis Beaumier
Institut de l’Énergie Trottier

Questions and answers

Patrick Vigeant

Patrick Vigeant

Co-founder

info@witify.io

(514) 916-3026

The duration of a data visualization project can vary greatly depending on a number of factors. These include the complexity of your data, the scope of the analyses to be performed, the number of visualizations required, and the skills of your team. A simple project may take a few days, while a more complex one could require several weeks or even months. It’s always best to set a realistic timetable from the outset, allowing for unforeseen circumstances, to guarantee quality results.

We work with a variety of data formats to meet your specific needs. This includes structured data such as CSV files, Excel and SQL databases, as well as unstructured data such as text, images and social networking data. We can also process semi-structured data, such as JSON or XML. Our team is able to adapt its skills and tools to work with almost any type of data, guaranteeing complete and accurate analysis.

We use a variety of technologies to develop our data visualizations, tailored to the specific needs of the project. These include programming languages such as Python with its Matplotlib and Seaborn libraries, and R with ggplot2. For interactive visualizations, we mainly use D3.js and VueJS. Our choice of technology depends on the purpose of the visualization, the complexity of the data, and the customer’s preferences.

Custom data visualization offers a number of significant advantages over the use of pre-configured tools such as Tableau, PowerBI, Excel or Data Studio.

First and foremost, customization. A custom visualization is designed specifically to meet your unique needs and business objectives. It can be precisely tailored to highlight the most important elements of your data, and to answer the specific questions you have. This contrasts with standard tools that offer predefined visualization options and may not be able to represent your data in the most relevant or effective way.

Secondly, flexibility. With custom visualization, you have greater freedom to integrate specific features, handle more complex data types and adapt the visualization as your needs evolve.

Third, alignment with your brand identity. A bespoke data visualization can be designed to perfectly match your organization’s visual identity, reinforcing consistency and brand recognition.

Finally, integration. Custom visualizations can be more easily integrated into existing systems or specific reports, offering a seamless and consistent user experience.

That said, the choice between custom visualization and the use of standard tools will depend on your specific objectives, budget and internal resources.