When: Thursday, Oct 17th @12pm ET
In Manufacturing, post-delivery failures can easily exceed $10 million per event, resulting in significant economic losses due to recalls, warranty claims, and damaged reputation. Companies often wish they had early warning indicators of impending quality issues, but unfortunately, they usually only become aware of them after the fact. In such situations, time and siloed data can be major obstacles.
In this webinar, we'll discuss the costly issue of post-delivery failures and how companies can use Databricks and Stardog to elevate their standards using a data-centric approach to continuously monitor and manage quality issues.
We will walk through:
- An example of a fictional beer company's response to customer complaints and better understand possible root causes.
- Trace back remediation actions in production and supply chain processes.
- How to leverage Data and AI to have end-to-end supply chain visibility.
