The data boutique opens a data engineering department and offers to help SMEs get more value from data projects

Data, analytics and AI projects are enjoying unprecedented popularity. Belgian SMEs are also jumping on the data bandwagon and using large amounts of data to optimize business processes. However, they often encounter projects that are difficult to scale and outdated systems. That’s why data scaling company Agilytic is opening a data engineering division and offering to help SMEs get more value from data projects.

The Lost POC

Every data project starts with a business idea that is validated by data scientists in a proof-of-concept (POC). Unfortunately, many projects get stuck in this testing phase. One reason for this is that data scientists often don’t have the right skills to turn a prototype into a scalable project.

That is why the profession of data engineering is becoming increasingly popular today. Data engineers approach data projects from a more practical perspective. For example, they look at how a (cloud) platform can be used efficiently to quickly scale a project, or how manual, repetitive tasks can be automated to help data teams work more efficiently.

From the sandbox

A well-managed and scalable data platform is critical to the success of any data-driven SMB. With its new data engineering branch and offering, Agilytic aims to help companies set up robust, profitable and future-proof projects. This ranges from storing HR data for AI projects to automatic document processing to dashboards and infrastructure.

Gautier Radermecker, Data Engineering Manager at Agilytic: “With the rise of AI, the demand for robust and reliable data solutions is increasing. We also want to effectively take AI projects out of the sandbox and scale them without losing sight of the costs. We now have around thirty employees, most of whom are data scientists. We want to have built a team of ten data engineers by the end of 2024.”