Treasury for Non-Treasurers: Crossing the Chasm (Part I)
Introduction We left off last week talking about the ‘The Chasm’ and saying that many treasuries end up in it. We also noted that non-treasury stakeholders won’t get material value-add unless they deal with a treasury that has crossed the chasm. It’s, therefore, worth understanding what it is and how to get out of it….
Nicholas
Deciphering Bank Analysis Statements: The AFP Service Codes
Transparency is critical in any relationship. Unfortunately, there is a long-standing inherent barrier to transparency in every relationship between a bank and a client, the bank analysis statement. Understanding the majority, let alone all of the charges depicted on a bank analysis statement, is difficult at best. I have personal experience with the challenges of…
Ernie Humphrey
Data-driven Treasuries are the Future and Here’s Why
This article is written by Palm Unleashing the Power of Data in Treasury Management The skills required to be successful in treasury are changing, and more and more treasurers seek to hire candidates who are proficient in data management. As data becomes a critical asset of all businesses, this too is reshaping how treasurers and…
Franklin
Are Bigger Banks Better? A Corporate Treasurer’s Perspective
Introduction In the world of corporate treasury, choosing the right banking partner is a crucial decision that can impact cash management, liquidity, and risk mitigation. Recent industry moves, such as UniCredit’s potential takeover of Commerzbank and BBVA’s multibillion-dollar bid for Spain’s Sabadell, highlight a trend toward consolidation in the banking sector. As banks grow larger,…
Treasury for Non-Treasurers (Appendices)
Appendices for the article: “Crossing the Chasm, Part II” Appropriate Contexts and Cultures for Method 1: When: 1. The organisation’s culture is control-oriented. 2. Some senior stakeholders are external and profit or value-add-oriented. 3. One or several stakeholders have the budget to explore new sources of benefit. 4. The company is profitable and stable. Inappropriate…
Fraud detection models and machine learning: All you need to know
This article is written by Trustpair International laboratory Octapharma used to manually check each IBAN and bank details change request. After a potential fraud attempt, the company turned to Trustpair. By using the machine learning fraud detection solution, any future fraud attempts would be outlined. Also, the digital processes for checking bank details offer better collaboration…