Forecasting Revenue Using Predictive Analytics: An Interactive Case Study

Author: Categories: Professional Services, Resource Utilization Management

Forecasting Revenue Using Predictive Analytics

Now, for those of you who want more detail… Much has been written about using fancy technologies like artificial intelligence, machine learning, and predictive analytics in the workplace to do everything from identifying the most effective project managers to making recommendations on Netflix. Too often, the reader is left with the impression that the technology is only available in high-end, … Read More

Professional Service Contract Structures – Comparing 6 Different Models

Author: Categories: Professional Services, Project Management

Professional Service Contract Structures

At the core of every professional services engagement there is a contract structure that dictates the expectations of each party. While strong results are ultimately what every client wants, the contract structure that surround consulting a project plays a significant role. It dictates who bears risk, when money changes hands, and the how final product is to be delivered. As … Read More

6 Revenue Forecasting Mistakes Professional Services Firms Make – Part 2

Author: Categories: Professional Services

At the center of every professional services firm, there is a revenue forecast. Regardless of the platform used to develop a revenue forecast—spreadsheets, whiteboards, or Professional Services Automation software—every services manager is trying to predict what the future may hold.  And revenue forecasts are just that, a prediction. In my last post (link below) about revenue forecasting mistakes, I took … Read More

6 Revenue Forecasting Mistakes Professional Services Firms Make – Part 1

Author: Categories: Professional Services

Professional services firms live and die by their ability to forecast revenue. Although there are many types of forecasts that service firms perform—utilization, profitability, or backlog—they all tie into an underlying revenue forecast. Get your revenue forecasting right, and you have an appropriately sized firm that has a healthy service mix. Get your predictions wrong, and you will be under … Read More