Data Analytics in Statement of Work - Conversations.

What this episode covers

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

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Frequently Asked Questions

How long is this episode of Conversations.?

This episode is 1 hour and 8 minutes long.

When was this Conversations. episode published?

This episode was published on November 29, 2023.

What is this episode about?

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...

Can I download this Conversations. episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.