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Data visualization

Through advanced visualizations, our data specialized division, Kashika Studio, designs interactive tools that allow you to effectively explore, communicate, and enhance your data.

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Reveal the invisible

We help you transform simple numbers into valuable insights, thereby supporting your strategic objectives.

We create custom interactive data visualization tools that bring your information to life. Easy to use, they allow you to explore your data intuitively, uncover hidden trends and patterns, and make informed decisions.

The advantages of custom data visualizations

Complete personalization

Customize the visualization entirely according to your specific needs, allowing for more options for interactivity.

Efficient design

A custom design allows for unprecedented visual representations, 100% tailored to your data and analysis goals.

Speed and performance

The custom solution allows for processing complex data and integrating it efficiently into your visualization.

The steps of custom data visualization

The development of a data visualization involves three crucial steps: the "why," the "what," and the "how." Considering these three aspects ensures 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 objectives

First, it is essential to precisely identify which questions you are trying to answer with data visualization. Through exploratory workshops, we help you focus on which questions are the most relevant according to your objectives and your current data.

  • Identify the questions to be answered or tasks to be performed
  • Determine which ones are the most prioritized
02

What: Your data

A thorough analysis of your current data sources allows for understanding the scope and structure of your information. It also enables us to identify trends, outliers, and general orders of magnitude. This information is crucial for selecting the appropriate visualization techniques.

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

Comment: The visualization

Once the objectives are targeted and the data analyzed, our experts employ the best techniques and practices from the industry to design a layout that allows you to perform your tasks efficiently.

  • Iterative design process for data visualization
  • Data visualization coding
  • Production deployment with real data
  • Continuous iterations and improvements

What our clients say

Our visualization tool would not be what it is without the valuable collaboration of Witify. The team helped us clarify the objectives we wanted to achieve with this new tool, thus offering us clear and effective interfaces. Their team knows how to present data.
Louis Beaumier
Louis Beaumier
Executive Director, Trottier Energy Institute

Questions and answers

Kashika Studio

Kashika Studio

Data visualization

info@kashika.studio

(514) 916-3026

The duration of a data visualization project can vary greatly depending on several factors. This includes the complexity of your data, the extent of the analyses to be performed, the number of visualizations needed, and the skills of your team. A simple project may take a few days, while a more complex project could require several weeks or even months. It is always best to establish a realistic timeline from the start, taking unforeseen circumstances into account, to ensure 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 like text, images, and social media data. We can also handle semi-structured data, such as JSON or XML formats. Our team is capable of adapting its skills and tools to work with almost any type of data, ensuring comprehensive and accurate analysis.

We use a variety of technologies to develop our data visualizations, tailored to the specific needs of the project. Among these technologies are programming languages such as Python with its libraries Matplotlib and Seaborn, and R with ggplot2. For interactive visualizations, we primarily use D3.js and VueJS. Our choice of technology depends on the objective of the visualization, the complexity of the data, and the client's preferences.

A custom data visualization offers a number of significant advantages over the use of preconfigured tools like Tableau, PowerBI, Excel, or Data Studio.

First, customization. A custom visualization is specifically designed 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.

Second, flexibility. With a 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 custom data visualization can be designed to perfectly match the visual identity of your organization, reinforcing the consistency and recognition of your brand.

Finally, integration. Custom visualizations can be more easily integrated into existing systems or specific reports, providing a smooth and cohesive user experience.

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