BGH | Rademaker
Data science and AI in accountancy: greater efficiency at BGH | Rademaker
BGH | Rademaker, a leading accountancy firm with a strong focus on SMEs, strives to use innovative technologies to better serve its clients. When they wanted to professionalize their data management and analysis, they connected with student Luc Siecker through MKB Datalab. Together, they worked on three projects that helped Rademaker operate more efficiently and elevate their internal processes.
The Challenge
The accountancy sector is under pressure due to a declining influx of new employees, an increasing outflow of experienced professionals, and stricter regulations. For Rademaker, this meant more work had to be done with fewer people. They saw opportunities to leverage data analysis for greater efficiency but lacked the expertise to implement it internally.
What the student did
Through MKB Datalab, Rademaker was matched with Luc Siecker, a student with a background in data science and AI. Together, they worked on three projects focused on automating analyses and reducing manual work. Processes that previously took hours were reduced to just seconds through Python script automation. Key results included:
- automation of transaction and payroll analyses
- integration of different datasets for faster and more accurate insights
- development of proof-of-concepts for future implementation
The result
The collaboration not only led to more efficient processes but also drove a cultural shift within Rademaker. Trust in data analysis grew, and the acceptance of new technology increased. This enabled the company to improve its services and streamline internal operations.
Transforming accountancy with data-driven efficiency
Transforming accountancy with data-driven efficiency
“We saw opportunities to work more efficiently by using techniques like Python, but we lacked the knowledge and experience to develop them ourselves. The projects have helped us work more efficiently and better understand the data we work with daily. What once seemed ‘too difficult’ is now accessible and valuable.”
- Stef van den Berg – BGH | Rademaker
Gaining real-world experience through data innovation
Gaining real-world experience through data innovation
“I focused mainly on automating manual processes and setting up efficient workflows. I didn’t just learn new skills, but also gained insight into how businesses operate.”
- Luc Siecker
Why collaborate with JADS SME Datalab?
The JADS SME Datalab supports Dutch SMEs that want to make the transition to a more data-driven way of working. The JADS SME Datalab carries out projects with SME entrepreneurs and Data Science students. In addition, they offer several tools to help you define a Data Science project with impact, such as workshops, a Data Maturity Scan and a Data Project Canvas.
So, if you want to take on a specifically designed short-term data science project for your SME with a JADS MSc student, visit the JADS SME Datalab Website. 200+ organizations have already participated!