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Description

How you can use consistent, detailed analytics to understand the value of outcome-based services.

With Chris Radvansky, Principal, Rad Consultants

00:05:30 - Using transactional data in understanding the extended workforce

00:08:45 - The problems with SOW data

00:15:00 - SOW data is complex but there are common threads

00:20:00 - Can SOW data be compared to broader staff-augmentation data?

00:26:30 - Regulatory confusion between staff-aug and SOW

00:32:00 - The drivers towards outcome-based SOW

00:37:00 - Adoption of procurement tech designed for SOW

00:42:00 - Hyperspecialisation and AI

00:48:00 - Using GPTs for SOW analytics

00:52:30 - How to get granular with outcome-based data

00:56:45 - The cross-over from SOW into contingent workforce

01:02:50 - Tighening up how SOW is managed