Why Tracking Where Data Came From Is Not
the Same as Knowing Why It Exists
Introduces Integrated Process Excellence (IPE) as a solution
for organizations struggling to achieve a measurable return on investment from
artificial intelligence. The text distinguishes between data lineage,
which tracks the technical journey and authenticity of information,
and process lineage, which explains the business purpose and
accountability behind that data.
While data lineage confirms where a value originated, process
lineage utilizes a causal architecture of Key Input, Process, and
Output Variables to establish why the data exists and who owns the
resulting decisions. By implementing a structured hierarchy of Areas,
Activities, and Elements, IPE provides a governance framework that satisfies
modern regulatory requirements such as the EU AI Act. Ultimately, the
author argues that combining technical data tracking with rigorous process
discipline is the only way to build the trust necessary for successful AI
adoption.
This approach ensures that AI outputs are not just technically accurate,
but also meaningful, governed, and auditable within a business
context.
For the article:
https://drive.google.com/file/d/16EdRRpMv9_E_uFPBK0Rubpr7J9MVtVYY/view
For the video:
John Cachat
johncachat@ipe.services
www.ipe.services
Reference Material
Books on Amazon
https://www.amazon.com/stores/John-Cachat/author/B0G4NB66MD
LinkedIn Articles
https://www.linkedin.com/in/johncachat/recent-activity/articles/
YouTube Videos
https://www.youtube.com/@ipeservices/videos
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