Join us for this webinar on 24 February 2022 from 4:00 PM to 5:00 PM SGT to learn more about how to create powerful dashboards for smarter decision making. from our international panel of experts. 

The FP&A Trends webinar will be held on February 22nd to discuss the lessons the COVID-19 pandemic has taught us. 

FP&A must drive profitable business decisions. As companies increase investments in advanced analytics, CFOs and their FP&A leaders are well-positioned to provide precise forecasts and actionable insights to support quick and accurate decision making.

As organisations confront a more dynamic world, the traditional budgeting process is increasingly criticised as obsolete. But what if your business is still not ready to abandon traditional budgeting completely?

The modern FP&A role is evolving rapidly. We are moving from a traditional management accounting role to something much more multidisciplinary, with many new skills and knowledge required. This means that building a synergistic team is essential.

The highlight of this issue are three insightful case studies, which provide practical examples of successful team building at leading organisations. There is also an article from myself about the increasingly multidisciplinary nature of FP&A roles.

Digitized FP&A Business Partnering is now the latest trend that is going well beyond just Finance involving the entire organization to move FP&A and planning to the next level.

Throughout different business cases and concrete examples, the panel of experts present the needed evolution of FP&A team, linked to new capabilities that will make FP&A teams “winning” ones in the evolving environment.

In this video, Timothy Mhagama, the CFO and Vice President Finance at TE Connectivity, speaks about how to sustain synergy across FP&A teams.

FP&A teams have been more focused on Profit and Loss account. However, in high uncertainty, FP&A's need to develop a "Cash Flow" Mindset. So what does this involve?

The benefits of measuring seasonality of accuracy are that users can plan high/low scenarios for each prediction based on the season-specific range of possibilities.  Departments can adjust how much capacity, safety stock, or cash reserves are needed based on their own worst case.  And it's easier to determine missing factors for model improvement when you focus on adding predictors to the high noise areas of the model.