In this article, I share my view on the key skills to have when you want to work in Finance and how they bring value to your organization.

The first FP&A Board Connect digital meeting will be launched from Japan. Takeshi Murakami, Business Manager to CEO/President at Microsoft Japan, who is also a member of the Tokyo FP&A Board, will share his company's experience on "Using Predictive Analytics and Machine Learning for 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?

The Coca-Cola Company’s recent global digital transformation initiative within their McDonald’s Division (TMD) has increased the company’s confidence in their data and enabled them to make better decisions faster.

FP&A helps create sources of future value whilst being on top of how much value is being created at present. Neither of these two things is as easy to measure at any one point in time. So, how can we answer the question “is FP&A delivering what is expected of it”?

The way a company FP&A suite is organised (i.e. its setup) covers the way data are organised and analysed, the way the reporting and the forecasting are produced and performances are measured. What will qualify as the best FP&A set up? How will it be accepted by the company?

The role of FP&A is becoming more important than ever. FP&A is seen as instrumental in helping organisation formulate strategy and drive performance. However, how does FP&A function go about building its brand?

Without a doubt, the effects of AI on the global economy are jaw-dropping. But how does that affect the FP&A sector? Do we need to worry about the rise of artificial intelligence?  

The explosion in computing and data processing power has led to an exponential increase in data available to the business. Paradoxically, this has led to business leaders becoming more uncertain about what to do with this data. Hence, business is scrambling to put the appropriate “analytics” capability in place. This generates a lot of friction and tension because business leaders and managers, who have been brought up in a very different world, have to scramble to learn new languages and redress their relationship with data.