lurii Pylypenko, Founder and CEO, OLSOM cite data silos as their top obstacle to date-driven decision-making, with nearly 70 % still relying on spreadsheets as their primary data management tool. Engineers often resort to manual or semi-manual data consolidation processes, introducing errors and creating significant delays in decision-making.

Another challenge involves master data accuracy. System users frequently neglect timely maintenance of master data, viewing it as boring and timeconsuming work. Yet this neglect has serious consequences.

Iurii explains:“ A simple example: wrong setup of an ideal machine’ s cycle time will result in wrong performance calculation and trigger insufficient optimisation actions.”

The OLSOM approach OLSOM addresses these challenges through what Iurii describes as an“ objective-driven approach”.

Rather than collecting data indiscriminately, the AGW platform allows manufacturers to configure data engineering processes – collection, filtering, normalisation and contextualisation – aligned with specific operational goals. The platform enables flexible yet robust data analysis, visualisation, notification and action triggers, making it straightforward to modify existing data-driven optimisation cycles or create new ones as requirements evolve.

The platform’ s rich integration capabilities tackle fragmentation headon, providing seamless bi-directional

Source- McKinsey

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