Digital Transformation / Automation

Automation & Data Modernisation at Assist Group

Automated data collection and modernization of the information layer to unlock capacity and prepare new applications. This page summarizes context, problem, approach and outcome.

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In brief

Automated data collection and modernization of the information layer to unlock capacity and prepare new applications.

An organization with legacy systems, manual data collection and the need to establish a more modern foundation for future applications.

Key takeaways

Ivan's role was tied to coordination, visibility and the translation of complexity into operating decisions.
The solution combined governance, integration and delivery method.

Context

An organization with legacy systems, manual data collection and the need to establish a more modern foundation for future applications.

Problem

Dependence on fragmented tools such as VB6, Access and Excel, with low process clarity and repetitive operational work.

Constraints

Modernize without disrupting operations, structure a centralized platform and introduce AI only where it creates value.

Solution

Python crawler scheduled via GitHub Actions, ETL over SFTP and databases, plus the design of a cloud-ready central data platform and an AI/automation roadmap.

Stack

Python, GitHub Actions, ETL, SFTP, database, cloud-ready architecture

Impact

Automated data collection, improved operational capacity and foundations established for client apps and more efficient processes.

Takeaway

Automation and data platforms create value when they reduce operational friction and build foundations for future evolution.

FAQ

What was the main problem in the Automation & Data Modernisation at Assist Group case study?

Dependence on fragmented tools such as VB6, Access and Excel, with low process clarity and repetitive operational work.

Which solution was implemented in the Automation & Data Modernisation at Assist Group case study?

Python crawler scheduled via GitHub Actions, ETL over SFTP and databases, plus the design of a cloud-ready central data platform and an AI/automation roadmap.

Which technologies or operational levers stand out in the Automation & Data Modernisation at Assist Group case study?

Python, GitHub Actions, ETL, SFTP, database, cloud-ready architecture