Data, BI and reporting as decision infrastructure.

This page explains how Ivan Esegovic uses ETL, automated data collection, reporting, dashboards and KPI design to reduce manual work and increase operational visibility.

Data-driven transformation

In the most recent phase of the profile, data work is especially visible at Assist Group: automated data collection with Python crawlers, scheduling through GitHub Actions, ETL over SFTP and database layers, and the design of a centralized data platform.

The value is not limited to dashboards themselves, but to the ability to turn fragmented signals into operational visibility, clearer priorities and stronger decisions.

Delivery governance

High-complexity

regulated programs with multiple stakeholders, tight dependencies and strong execution discipline

Digital adoption

Proven growth

hands-on work to improve digital uptake through UX, funnel design and system integration

Data-led operations

Operational clarity

pipelines, reporting and BI used to increase visibility and decision quality

Automation leverage

Capacity unlocked

workflow automation and data collection used to reduce manual effort and friction

Execution speed

Controlled delivery

releases and transformations managed with discipline on timing, quality and coordination