In today’s episode, we’ll hear from Paul Galloway on automated financial reporting. What tools are used, and how do we ensure accuracy and security? Are there regulations to consider? Listen in to learn more.
In today’s episode, we’ll hear from Paul Galloway on natural language processing. What is it, and how does it differ from machine learning? How is it used in finance and fraud detection? Tune in to find out.
In today’s episode, we’ll hear from Paul Galloway on anomaly detection systems. What are they, and how are they used in treasury and finance? Tune in to find out.
The questions about bank fees come easy: Are we paying the right amount for our banking services? Are we being overcharged? How can we know when nothing is directly comparable and there is a lack of transparency? The answers, however, are far more difficult to find.
Understanding the “right amount” of bank fees requires understanding what others are paying and how these amounts are changing over time. Data forms the basis for this, but data must be presented clearly and understood to be useful. In this webinar, we will review select statistical and charting tools you can use to help your company better understand bank prices.
• Percentiles. Learn how percentile charts provide a basis for understanding what others are paying and where you stand. This creates easy visibility into what your expectations should be.
• Box and Whisker. This provides direct visibility into the band of pricing that exists in the market.
• Regression. Strategic Treasurer’s use of regression allows you to see the trend over time of the average price paid in the industry. Understanding the direction and influences can help you plan and better negotiate agreement terms.
To understand what is happening in the market and to negotiate favorable rates, you must have solid, up-to-date points of reference. This webinar will rely on the Feenix Guide to Bank Pricing to support various statistical and charting tools when reviewing your bank fees.
In today’s episode, we’ll hear from Paul Galloway on machine learning. What is it, and how is it applied in treasury and finance today? Tune in to find out.