
What Trends In Your Historical Data Improve Forecast Accuracy?
Trends like seasonality, linear growth, cyclic patterns, and sudden shifts improve forecast accuracy when they are detected and modeled. Seasonality provides recurring patterns by time

Trends like seasonality, linear growth, cyclic patterns, and sudden shifts improve forecast accuracy when they are detected and modeled. Seasonality provides recurring patterns by time

How forecasting shapes hiring, expansion, and planning decisions by transforming data into timely moves that reduce expense and danger. Forecasting based on sales trends, churn,

What forecasting errors cause volatile cash flow? Bad data inputs, bad assumptions, and not updating frequently enough cause most cash flow surprises. Basing forecasts on

How to create a simple forecast without sophisticated software. Building a simple forecast without fancy software. Begin with a fresh historical data set in CSV

Building better business forecasts refers to constructing models that provide clearer, more dependable estimates of future sales, demand, and expenses. I leverage seven years in
With 27 years of experience, Joel S. Smith, CPA helps business owners make sense of their finances and drive profitability. A UC Berkeley grad with a Master’s in Taxation, he’s a Certified Public Accountant (CPA) and Certified Management Accountant (CMA).
Joel has worked across industries like real estate, construction, and professional services. As a member of the CFO Project, he provides business owners with the clarity and strategy they need to grow.


