Mistakes made by new data scientists are disappointingly similar to those still made by professionals Over the past year, I’ve had the opportunity to introduce many students to data science. ...
3 analytical approaches to salvage value and prevent waste Descriptive, predictive and prescriptive: the 3 approaches you can apply to solve any business problem using analytics. For example markdowns. Markdowns are ...
To MRP, or not MRP, that is the question: Whether 'tis nobler in the mind to suffer The slings and arrows of forced forecasts Or to take arms against them, ...
3 ways to be more responsive to data volatility Everyone, myself included, was so excited to be done with 2020. The Covid-19 pandemic made it a challenging year, and the ...
Step-by-step This is the appendix to my other piece: https://towardsdatascience.com/to-forecast-or-not-to-forecast-that-is-the-supply-chain-question-439e0eb47b61 Note: some charting functions in the support file may require using an optional free Excel add-in for best performance. Detailed step-by-step ...
The 5 secret ingredients to solve for profit, rather than accuracy Customers can be unpredictable. Hardly anything about them is forecastable correctly. Change approach maybe? Prediction errors are everywhere. Over the ...
Santa has magic. Is AI our own enchanted solution? It’s the holiday season, and while festivities may be muted publicly, I’ve still been enjoying lighting the tree, drinking mulled wine, ...
Data science trends in retail for the post-Covid world 2020 was a difficult year for every business. The coronavirus changed every aspect of our operations. One of the biggest trends in ...
