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The Hidden Cost of Fragmented Warehouse Data, with Dwight Klappich
In this episode of The Performance-Driven Warehouse, host Dan Keto sits down with Dwight Klappich, Principal Dwight Klappich Advascent, to examine a persistent challenge in modern warehouse operations: an abundance of data with very little operational clarity. Despite significant investments in WMS, labor systems, and analytics tools, most organizations still struggle to explain performance, compare facilities fairly, or tie operational behavior to financial outcomes.
The discussion explores why warehouse performance management is fundamentally different from traditional system reporting, the role unified data models play in aligning operations, finance, and IT, and why technology-first data consolidation efforts often fail. Drawing on real-world examples, Dwight and Dan outline what leaders should prioritize before investing in platforms, BI tools, or AI initiatives, and how disciplined data structure enables scalable, network-wide performance management.
What You’ll Learn:
- How WMS, execution systems, and performance management serve different purposes
- Why fragmented data architectures undermine operational and financial accountability
- Why the business case must be defined before investing in data consolidation or analytics technology
- Why cloud data platforms alone do not solve warehouse performance visibility
- Why discipline in data structure and governance matters more than tools
- Why organizational alignment is often the limiting factor in performance improvement
Dwight Klappich is Principal at DK Advascent and former Research Vice President and Fellow at Gartner, where he spent 25 years advising global enterprises on supply chain, logistics, and fulfillment technology. He is widely regarded as one of the industry’s leading authorities on warehouse operations, intralogistics, and automation strategy.
During his tenure at Gartner, Dwight shaped how executives evaluate and invest in logistics technology, including launching Gartner’s intralogistics smart robotics research coverage. His work has influenced how organizations think about automation not as a technology project, but as an operational and financial decision tied to process design, labor economics, and service performance.
Today, through DK Advascen, Dwight advises companies on how to align warehouse processes, labor strategies, and automation investments to drive measurable business outcomes. He is particularly known for helping operations leaders avoid costly automation mistakes by grounding decisions in data, workflow reality, and economic impact.
https://www.linkedin.com/in/dwight-klappich-452691/
Видео The Hidden Cost of Fragmented Warehouse Data, with Dwight Klappich канала Easy Metrics
The discussion explores why warehouse performance management is fundamentally different from traditional system reporting, the role unified data models play in aligning operations, finance, and IT, and why technology-first data consolidation efforts often fail. Drawing on real-world examples, Dwight and Dan outline what leaders should prioritize before investing in platforms, BI tools, or AI initiatives, and how disciplined data structure enables scalable, network-wide performance management.
What You’ll Learn:
- How WMS, execution systems, and performance management serve different purposes
- Why fragmented data architectures undermine operational and financial accountability
- Why the business case must be defined before investing in data consolidation or analytics technology
- Why cloud data platforms alone do not solve warehouse performance visibility
- Why discipline in data structure and governance matters more than tools
- Why organizational alignment is often the limiting factor in performance improvement
Dwight Klappich is Principal at DK Advascent and former Research Vice President and Fellow at Gartner, where he spent 25 years advising global enterprises on supply chain, logistics, and fulfillment technology. He is widely regarded as one of the industry’s leading authorities on warehouse operations, intralogistics, and automation strategy.
During his tenure at Gartner, Dwight shaped how executives evaluate and invest in logistics technology, including launching Gartner’s intralogistics smart robotics research coverage. His work has influenced how organizations think about automation not as a technology project, but as an operational and financial decision tied to process design, labor economics, and service performance.
Today, through DK Advascen, Dwight advises companies on how to align warehouse processes, labor strategies, and automation investments to drive measurable business outcomes. He is particularly known for helping operations leaders avoid costly automation mistakes by grounding decisions in data, workflow reality, and economic impact.
https://www.linkedin.com/in/dwight-klappich-452691/
Видео The Hidden Cost of Fragmented Warehouse Data, with Dwight Klappich канала Easy Metrics
warehouse performance management WMS data analytics labor management systems warehouse operations intelligence unified data model supply chain visibility warehouse execution systems operational data consolidation engineered labor standards WMS implementation data taxonomy standardization master data management warehouse KPIs cost optimization warehousing real-time performance metrics multi-facility warehouse management warehouse telematics inventory management
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21 января 2026 г. 17:11:03
00:25:53
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