Practical thinking for consumer goods planners

Why sales teams and demand planners have been talking past each other for 30 years — and how the tool design is the root cause, not the people.

Overfitting is the statistical equivalent of an octopus predicting the World Cup. Here's how to spot it in your FMCG forecast models — and what to do about it.

Even Fortune 1000 companies with $50M+ data budgets are struggling to build a data culture. What does that mean for mid-market consumer goods companies standing at the edge of the chasm?

Most businesses have more usable data than they think. Here's how CauSelf analyses up to 20 causal factors — including freely available public data — to improve forecast accuracy.