The fourth FP&A Board Connect will be 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?
Many of us have heard about promise of predictive analytics (PA) in machine learning (ML). Over 50% of organisations think that data science and ML are critical for success. At the same time, less than 20% of finance teams are deploying data science today. Why did this happen?
This article will focus on is the modeling of a company as a whole, its consolidated future financial positions, incomes, growth and risks, as opposed to the detailed budgeting of one specific aspect of a company’s business, such as how to increase contract to sales conversion rate.
Imagine you’re a train dispatcher tasked with making hundreds of trains run smoothly every day. They must go through an interconnected network where trains run in a sequence and can’t just pass each other along the route. Suddenly a delay occurs on one of the trains because a door won’t close properly. What do you do?