Part 3: How Natural Language Processing (NLP) Can Benefit the Supply Chain – Internal Structured Data

This blog discusses how utilizing a semantic parsing method can help a less experienced user transform their data questions into advanced database queries, and how it can help detect errors in datasets.

Part 2: How Natural Language Processing (NLP) Can Benefit the Supply Chain – Internal Unstructured Data

We know how to deal with structured data but working with unstructured data might be a bit more time consuming and challenging. There are multiple solutions that NLP offers to transform your unstructured enterprise data to structured data.

Relationship Between MAD and Standard Deviation for a Normally Distributed Random Variable

A colleague and I were talking recently, and the conversation turned to what is the relationship between Mean Absolute Deviation (MAD) and the Standard Deviation (STDEV). In this post, I will explain to you the math behind that approximation, which by the way, only applies to normal distributions.

By |2021-04-20T14:10:47-04:00July 27th, 2020|Data Analysis, Supply Chain|0 Comments

COVID-19 & SCM – Importance of Operations Management to Overcome the Limitations of Data-Driven

An often-heard theme in supply chain management (SCM) and COVID-19 is “data-driven” – being data-driven is the path to success. For COVID-19 “science-driven” is often said in the same sentence. For SCM demand or customer-driven replaces “science”. This blog will point out a few examples in the COVID-19 challenge demonstrating COVID-19 is an OM challenge.

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