By Terence Leung
For organizations with a high volume of procure-to-pay transactions in multiple geographic locations and a complex network of suppliers, some are running out of ideas for improving Days Payable Outstanding (DPO) and other efficiencies. They have seek external help and developed better reports. But they find themselves approaching the limit of creditor stretching.
As PWC mentions in its annual Working Capital Study, many drivers to solving working capital related problems are operational in nature, not just financial. With the injection of prescriptive/predictive analytics, artificial intelligence and machine learning,
This is made possible by data science, advanced statistical methods, and artificial intelligence in the background. With this “Data Scientist in a box”, finance and business executives can focus on improving business performance of the company, after taking into account a broader set of factors. Contact us to learn more.
A note about the author: At Pathlock Technologies, Terence Leung conceptualizes and manages analytical solutions for Finance, which serves the increasing needs of the Office of the CFO on strategic decision-making critical to processes, operations and transformations. He was previously at Deloitte Consulting’s Finance, Operations and Strategy practice and at solution providers including i2 Technologies (now part of JDA) that optimize company performance and processes. Terence really enjoys interacting with industry practitioners on topics such as business value, technology, business models, and especially analytics.
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