We’re at the knee of the COVID-19 infection curve in the US with several thousand confirmed; new infections already announced this weekend (the date of this writing is March 15, 2020). Most logistic curve simulations of the virus’ spread suggest a doubling of total infections...
Read MoreInvestors pay a premium for growing companies. A close second, and sometimes even more valued benefit is improved revenue predictability. Predictability in forecasting is never bad: not only do investors love it, CFOs love it because expenses and thus cashflows can be managed more precisely,...
Read MoreThis is blog no. 2 in our 4-blog series about Scientific Forecasting. In the last blog we talked about why managing expenses to the penny while winging the revenue forecasts doesn’t make financial sense and can cause wasted resources in excessive re-budgeting. In this second...
Read MoreThis is blog no. 3 in our 4-blog series, with the last blog having started getting into the issues needing to be addressed when implementing Scientific Forecasting. In this blog we’ll get into the different types of forecasts and some suggestions on when and how...
Read MoreThis is the last blog in our 4-blog series on Scientific Forecasting. In the previous blogs we discussed three major topics, i.e. cultural hurdles to forecasting, in-quarter corrective actions, and forecast types by forecasting time horizons. Once mastered, addressing these three areas will result in...
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