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.
By deploying integrated FP&A organisations see greater performance improvements compared with traditional FP&A processes. This is enabled through combining strategic planning, business planning and forecasting and operations planning and forecasting.
Currently artificial intelligence (AI) and machine learning (ML) is havi. In terms of accounting and finance, is AI & ML a gift or curse for us? The answer largely depends on two key variables.
The fourth FP&A Board Connect was dedicated to the subject "How to Use Predictive Analytics and Machine Learning for Better Quality Forecast (Janssen Case Study)".
In the first FP&A Board Connect, Takeshi Murakami, Business Manager to CEO/President at Microsoft Japan, a speaker of the second Tokyo FP&A Board, explains how Microsoft achieved remarkable results by using predictive analytics and machine learning in FP&A.
“Go to the cloud” has been a key building block in every global CIO’s digital strategy. However, as the CFO, do you find yourself getting into frequent arguments with them over the savings promised at the time of embarking on this journey?