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DTSTAMP:20260607T081447Z
DESCRIPTION:Click for Latest Location Information: http://edw2024.dataversi
 ty.net/sessionPop.cfm?confid=159&proposalid=15010\nDue to rapid growth and 
 expansion that involved the acquisition of over 10 companies with varying E
 RP and customer systems in the manufacturing and electrical supply industry
 , Radwell was faced with a need to integrate disparate data systems to ensu
 re business reporting and analytics continuity across the entire enterprise
 . With the understanding that full ERP migrations could take multiple years
  and cost millions of dollars, Radwell sought to take a cloud-first approac
 h to integrated enterprise data that would allow seamless onboarding of dat
 a sources, metadata-driven ELT processes, strategic storage and retrieval, 
 a foundation for MLOps maturity, and most importantly, creating a one-stop 
 shop for all business users to access data. Within 9 months, the team stood
  up the platform, integrated all ERP systems, and successfully deployed its
  first AI model to support dynamic pricing. A data governance council was f
 ormed and the project has led the way in Radwell’s journey to becomin
 g a data and technology-first manufacturing automation supplier. Succe
 ss was the result of a great team, thoughtful executive-sponsored visi
 on, and trying new approaches to old challenges.\n\nThe most noteworthy new
  approaches involved:\n\n
 Metadata-driven ingestion framework to quickly populate the Azure Data Lake
  with ADF processes\n
 Flexible cloud-architecture that focused on ML Ops and Databricks\n
 A robust data services and API mart layer to expose consolidated data to ov
 er 75 internal applications\n
 A design thinking session that launched the Data Governance Council\n\n
DTSTART:20240327T083000
SUMMARY:Building an Analytical Data Lake and Starting a Data Governance Jou
 rney: A Case Study
DTEND:20240327T091459
LOCATION: See Description
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