WEBINAR ON DEMAND
Duration: 21 minutes

In manufacturing, planning, operations, and finance typically work from a different version of the company’s data, refreshed on different schedules and pulled from different systems. Which means when you ask each department for last month’s numbers, you’ll get three different answers. The root cause isn’t a reporting problem. It’s a data pipeline problem. That’s a big part of why 42% of AI projects fail to provide real, actionable insights.

This webinar explores what's actually driving the trust gap between Planning, Ops and Finance, and what it takes to close it without a multi-year data platform rebuild. These manufacturing teams will always be a step behind when there’s a data lag problem. You'll leave with:

• A clearer picture of why traditional ETL can't keep pace with modern manufacturing operations.
• Questions to bring to your data and IT teams before the next planning cycle.
• What "real-time" actually means when your data spans SAP, Oracle, WMS, and 3PL systems.

SPEAKERS

Ebrahim Alareqi
Principal Machine Learning Engineer, Incorta