Project Methodology

At eaqbe, we employ a proven project methodology centered on the CRISP-DM model, a widely recognized approach in data science. This model is structured into six clear phases, each ensuring precise deliverables and transparent tracking of progress.

By integrating the SCRUM framework into our process, we enable agile and flexible project management, with Notion as our go-to tool for efficient collaboration and information organization.

From the outset, we engage in strategic planning, working closely with key stakeholders to define project scope, objectives, and success criteria.

Through qualitative interviews, we gain valuable insights and establish a steering committee to ensure continuous alignment and decision-making throughout the project.

Our process begins with a comprehensive understanding of the current state ( « As-is » ) and moves towards defining a future vision (« To-be »).

We take the time to assess existing tools, data sources, and technical infrastructures, ensuring a smooth transition towards the next phases of data preparation and modeling.

Data plays a critical role in everything we do. We meticulously assess data quality, perform feature engineering, and apply advanced transformations to ensure that the final dataset is ready for modeling.

Whether it’s business intelligence or machine learning, we ensure that our models are robust and tailored to your specific needs, delivering actionable insights for real-world impact.

Our work doesn’t stop at project completion. We provide comprehensive documentation and training to empower your team with the tools they need to maintain and build upon the project autonomously.

At eaqbe, we combine the rigor of data science with the agility of SCRUM, ensuring each project is executed with precision, transparency, and measurable results.