FP&A Insights

FP&A Insights is a collection of useful case studies from leading international companies and thought leadership insights from FP&A experts. We aim to help you keep track of the best practices in modern FP&A, recognise changes in the ever-evolving world of financial planning and analysis and be well equipped to deal with them.

Stay tuned for more blogs and articles from great authors.

FP&A Insights

Data to Action — Drive Business with Technologies
April 2, 2019

By Takeshi Murakami, Group Controller at Microsoft

4-5 years ago in Microsoft, Cloud business was a small portion of the overall business, but now is the key business for the company, with new and diverse purchase options like subscription model on office 365, pay as you go model on Azure cloud platform... boosting and creating an avalanche of data every day.

What’s The Difference Between Integrated Business Planning and Integrated Financial Planning?
March 28, 2019

By Dean Sorensen, Founder of IBP Collaborative

Integrated Financial Planning (IFP) and Integrated Business Planning (IBP) mean different things to different people. Primarily because there is no universal definition of what “fully integrated” processes entail. This article presents a maturity model to explain what it means and the capabilities that comprise it.

Using a Statement of Cash Flows for Financial Planning
March 26, 2019

By Karl Kern, Accountant / Lecturer / Writer

The purpose of a statement of cash flows is to describe how businesses receive and spend money.  This purpose is seen as an end result of financial planning but this purpose can be seen as a starting point of financial planning.  As a starting point of financial planning, people should think about how to accumulate wealth from the receipt and disbursement of cash.

5 Questions You Need to Ask Yourself about Your Data
March 26, 2019

By Irina Steenbeek, Founder of 'Data Crossroads' ​

Data management is a business function that, in my opinion, every company should have. Still, often it is not the case. Managing data means that everybody in a company knows what data they (can) get and have a good understanding of what can it can be used for. It also means receiving data when and where it is needed. And finally, producing and working with data of acceptable quality.