There are purpose-built software tools for nearly any need you may have, but there are a few questions you’ll want to ask yourself before you start using any of these tools.
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This article will discuss how financial planning and analysis (FP&A) professionals can determine the general market trend using a statistical approach based on time series and how they can apply some adjustments to reflect different opportunities or threats to the business plan.
The upcoming FP&A Trends Webinar will be held on October 13 from 4:00 PM to 5:00 PM BST to uncover the subject of "The Art and Scence of FP&A Storytelling".
In his digest, you will learn about the three important FP&A principles while discovering how to evaluate corporate performance management (CPM) solutions, and how to apply Dale Carnegie’s techniques to finance.
The Second Digital London FP&A Circle will be held online on the 5 November from 4:30 pm to 6:00 pm GMT. Join our senior panel of experts to hear about the Digital FP&A and Deploying Artificial Intelligence(AI) and Machine Learning(ML) for Planning and Forecasting.
The meeting is complimentary and vendor-agnostic.
Working in FP&A during a crisis is extremely challenging but it is also an opportunity to mature processes, reach a stage where FP&A can conduct organizational changes and become a real Business Partner. This article highlights three main areas for FP&A improvement.
Digital Nordic-Benelux FP&A Board will be held online on the 17 November from 12:00 PM to 1:30 PM CET. Join our experienced and international panel of experts to learn how to adapt FP&A to the "New Normal".
The Second Digital North American FP&A Board will be held online on October 27 from 11:00 AM to 12:30 PM PST. Join our experienced and international panel of experts to learn how to Build Winning FP&A Teams for the "New Normal".
Knowing your numbers is a good starting point for an FP&A professional. But it is also required to know how to present the findings to others.
Today’s finance and accounting professionals face ever-growing challenges when it comes to data. The simplest analyses can be complicated by the wrong data or bad data and too much data can even be a problem. Effectively sourcing, managing, and using data are key skills.