Best Practices for Testing New Data Sources | Prince Matharu | Ep. 281
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
-
ナレーター:
-
著者:
概要
How to test new data vendors in debt collection without wasting budget or chasing meaningless hit rates?
In this episode of Receivables Podcast, Prince Matharu of TEC Services Group walks through a practical data experimentation framework in collections built on a simple idea: hypothesize, experiment, measure, report.
He breaks down multi vendor data strategy for receivables, how to measure contact rate improvement in collections, and why data is quickly becoming a competitive advantage in receivables. If you lead operations, analytics, or portfolio performance, this is a process you can apply immediately.
Listen in and subscribe for more actionable receivables strategy at ReceivablesPodcast.com.
Podcast Website:
https://receivablespodcast.com/videos/how-test-new-data-vendors-matharu
Guest Website:
https://www.tecsg.com/
Guest LinkedIn:
https://www.linkedin.com/in/prince-matharu-ab5896170/
how to test new data vendors in debt collection,
data experimentation framework in collections,
multi vendor data strategy for receivables,
measure contact rate improvement in collections,
data as competitive advantage in receivables
#howtotestnewdatavendorsindebtcollection
#princematharu
#dataexperimentationframeworkincollections
Thanks for listening! Follow Us On LinkedIn, Facebook & Youtube