Tag: demand-driven forecasting

Advanced Analytics | Analytics | Data Management | Machine Learning
Charlie Chase 0
At the end of the day, it’s all about analytics-driven forecasting

Analytics-driven forecasting means more than measuring trend and seasonality. It includes all categories of methods (e.g. exponential smoothing, dynamic regression, ARIMA, ARIMA(X), unobserved component models, and more), including artificial intelligence, but not necessarily deep learning algorithms. That said, deep learning algorithms like neural networks can also be used for demand forecasting,

Advanced Analytics | Analytics | Machine Learning
Charlie Chase 0
Straight talk about forecasting and machine learning

Are you caught up in the machine learning forecasting frenzy? Is it reality or more hype?  There's been a lot of hype about using machine learning for forecasting. And rightfully so, given the advancements in data collection, storage, and processing along with technology improvements, such as super computers and more powerful

Data Management | Machine Learning
Charlie Chase 0
Machine learning changes the way we forecast in retail and CPG

Machine learning is taking a significant role in many big data initiatives today. Large retailers and consumer packaged goods (CPG) companies are using machine learning combined with predictive analytics to help them enhance consumer engagement and create more accurate demand forecasts as they expand into new sales channels like the

Charlie Chase 0
You can no longer hide behind MAPE!

There are four key areas that require continuous investment in order to become demand-driven: people, process, analytics, and technology. However the intent of your demand forecasting process along with business interdependencies need to be horizontally aligned in order to  gain sustainable adoption.  Adoption alone doesn't necessarily mean it will be sustainable.       As

Leo Sadovy 0
Why analytic forecasting?

Because you are already halfway there and you should want the entire process to be data-driven, not just the historical reporting and analysis.  You are making decisions and using data to support those decisions, but you are leaving value on the table if the analytics don't carry through to forecasting.  In the

Mike Gilliland 0
IBF Scottsdale: FVA at Cardinal Health

Where is global warming when you need it? Throughout much of the southeast, life has been at a standstill since midday yesterday, when 2" of snow and 20oF temperatures brought civilization to its knees. If your life, or at least your forecasting career, is at a similar standstill, make plans to