Data Lineage Explained: How It Upgrades Enterprise AI and Why Your Models Depend on It
Explore how data lineage helps enterprises trace data origins, understand transformations, assess downstream impacts, and support trustworthy AI.
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Our customer had developed an in-house Inventory Management System (IMS) that comprised of a complex and heavily customized code base on multiple technologies. They wanted to partner with a vendor to support their IMS, as they faced the following challenges:
Everforth Quinnox carried out a study phase to understand the application landscape, feature requirements and created a roadmap for feature additions. We ensured business as usual (BAU) while adding new features and increased the usability of the applications for the business users. Reverse engineered the code and created proper documentation of business processes, rules and sequences. Streamlined governance & reporting process.
Everforth Quinnox established a structured induction process for faster on-boarding & cross-training of resources and created a repository of operating procedures to ensure effective knowledge transfer. We also built an automated regression suite for improving development/ deployment cycle time and have daily or weekly release.
Everforth Quinnox transitioned and stabilized the Inventory Management System in less than 12 weeks. We also ensure the following:
Explore how data lineage helps enterprises trace data origins, understand transformations, assess downstream impacts, and support trustworthy AI.
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