EPISODE · Apr 23, 2026 · 12 MIN
Episode 9: Stop. Do These 4 Things Before Your PIM Project
from Product Data Weekly · host Ben Adams
Clare and Ben discuss the four essential steps teams should take before committing to a PIM implementation or e-commerce re-platform, focusing on product data readiness. They share practical insights on why so many projects run late and over budget, and how proper preparation around product data almost always costs less than fixing problems after go-live. Keywords: product data, e-commerce, PIM implementation, data audit, data dictionary, data migration, channel mapping, data enrichment, ROI, digital transformation Key topics:• Auditing where your product data currently lives• Mapping output channels before building your data model• Defining what "good" data looks like with a data dictionary• Filling data gaps before go-live — not after• Why a PIM won't fix your data for you Chapters:00:00 Investing in product data: the challenge02:49 Step 1 — Audit where your data lives04:28 Step 2 — Map your output channels06:57 Step 3 — Define what good data looks like10:19 Step 4 — Fill the gaps before go-live12:04 Listener challenge & close ResourcesProduct Data Weekly Newsletter - https://productdataweekly.com
What this episode covers
Clare and Ben discuss the four essential steps teams should take before committing to a PIM implementation or e-commerce re-platform, focusing on product data readiness. They share practical insights on why so many projects run late and over budget, and how proper preparation around product data almost always costs less than fixing problems after go-live. Keywords: product data, e-commerce, PIM implementation, data audit, data dictionary, data migration, channel mapping, data enrichment, ROI, digital transformation Key topics:• Auditing where your product data currently lives• Mapping output channels before building your data model• Defining what "good" data looks like with a data dictionary• Filling data gaps before go-live — not after• Why a PIM won't fix your data for you Chapters:00:00 Investing in product data: the challenge02:49 Step 1 — Audit where your data lives04:28 Step 2 — Map your output channels06:57 Step 3 — Define what good data looks like10:19 Step 4 — Fill the gaps before go-live12:04 Listener challenge & close ResourcesProduct Data Weekly Newsletter - https://productdataweekly.com
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Episode 9: Stop. Do These 4 Things Before Your PIM Project
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