If it is hard for channel partners to do business with you, the cost shows up as margin lost to data correction. Larry Walsh, CEO and Chief Analyst at Channelnomics, will open with an analyst perspective on the channel trends increasing the volume, complexity, and business importance of partner data. He will explain why late, incomplete, duplicated, or mismatched data continues to create friction for manufacturers and their partners—and why better channel data management is becoming essential to profitable growth. Donald Barlow, Director, Value Engineering at Vendavo, will then show how simpler partner onboarding, stronger data quality at the source, and AI-assisted classification and enrichment help channel, sales, finance, and supply chain teams replace manual correction with trusted information.
Agenda
- Recognize the channel trends making accurate, timely partner data more critical to profitable growth and understand why legacy, manual approaches continue to create friction.
- Make it easier for partners to submit complete, timely data by simplifying onboarding, setting clear requirements, and supporting established submission methods.
- Standardize, match, and enrich partner, customer, and product records before they reach downstream teams.
- Identify exceptions earlier and improve data quality before errors create downstream rework.
- Use trusted channel data for inventory visibility, claims and incentive decisions, partner performance, reporting, analytics, and planning.
- Use AI to identify end-customer industries, derive SKU attributes from product descriptions, and support easier partner onboarding.
