
EP25: C-Level Analytics at Proctor & Gamble
Nov 20, 2017 - 13:20
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Predicting cashflow is certainly common enough, but what about predicting the costs ASSOCIATED with cashflow? What are the specific financial impacts of moving from check to ACH in terms of speed and costs? Should you of...
EP26: Banking Analytics at Bank of America is an episode from The 10 Minute Business Analytics Podcast | Data Analytics, Big Data, Data Visualization, Data Warehousing by Numetric. Predicting cashflow is certainly common enough, but what ab...
This episode belongs to The 10 Minute Business Analytics Podcast | Data Analytics, Big Data, Data Visualization, Data Warehousing.
Use the player on this page to stream the episode online.
Published Oct 23, 2017, 12:05 long, audio available.
Predicting cashflow is certainly common enough, but what about predicting the costs ASSOCIATED with cashflow? What are the specific financial impacts of moving from check to ACH in terms of speed and costs? Should you offer a discount to encourage preferred payment methods? And, if so, how MUCH of a discount can you justify? Also, what are the costs of matching invoices and fixing invoice typos? There clearly IS a cost, but have you ever calculated precisely what it IS? One person who HAS is Rodney Gardner, head of global receivables at Bank of America Merrill Lynch. Rodney, how many companies are blissfully UNAWARE of these costs?
You can listen to EP26: Banking Analytics at Bank of America online on Radio and Podcast. Open the player on this page to stream the available audio.
EP26: Banking Analytics at Bank of America is an episode from The 10 Minute Business Analytics Podcast | Data Analytics, Big Data, Data Visualization, Data Warehousing by Numetric.
This episode is 12:05 long.
This episode was published on Oct 23, 2017.
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You can listen to EP26: Banking Analytics at Bank of America on this page when the episode audio is available from the podcast feed.
EP26: Banking Analytics at Bank of America is from The 10 Minute Business Analytics Podcast | Data Analytics, Big Data, Data Visualization, Data Warehousing by Numetric.
Published Oct 23, 2017 and 12:05 long