A key responsibility of a CFO is to accelerate the conversion of investments in inventory and receivables into cash. This is often much easier said than done. Many organizations lack real-time insights into cash balances, and many more are unable to predict when cash will be available. As a result, decision-makers cannot effectively measure cash flows and use that information to make better choices regarding payments and collections -- or inventory management -- which gives them less confidence when making investments that will impact the business.

The good news for organizations that are experiencing these challenges is that recent technological advances -- particularly in predictive analytics -- are enabling finance leaders to make better decisions on working capital. They can grasp the entire enterprise dataset and interrogate it with advanced statistics and analytics, including interactive simulation capability. Research from the Aberdeen Group finds that among finance departments, those that are best-in-class are 78% more likely to implement predictive analytics.

During this Webcast, Nick Castellina, research director with the Aberdeen Group, and Bryan Plug, CEO of Trufa Inc., will discuss:

• What CFOs should know about predictive analytics

• The challenges that CFOs most often face when managing working capital 

• How finance teams can use predictive analytics to develop what-if scenarios, and better inform their decisions, about working capital

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