4 Smart Visualizations for Supply Chain Descriptive Analytics

<p>Supply chain Analytics can be defined as a set of tools and techniques your organization should use to get supply-chain operational insights from data.</p> <p>In a&nbsp;<a href="https://www.samirsaci.com/what-is-supply-chain-analytics-2/" rel="noopener ugc nofollow" target="_blank">previous article</a>, I defined the four types of Supply Chain Analytics that answer different operational questions.</p> <p>&nbsp;</p> <p><a href="https://youtu.be/3d7C4pShykI"><img alt="" src="https://miro.medium.com/v2/resize:fit:700/1*sCYOiuhTEBuf__yueX4IrA.png" style="height:221px; width:700px" /></a></p> <p>4 Questions of Supply Chain Analytics &mdash; (Image by Author)</p> <p>It starts by building the foundation of&nbsp;<strong>Descriptive Analytics</strong>&nbsp;to monitor the present and analyze the past.</p> <p>In this article, I will share&nbsp;<strong>four Python smart visualizations for descriptive analytics that provide key insights to understanding your supply chain.</strong></p> <p><a href="https://towardsdatascience.com/4-smart-visualizations-for-supply-chain-descriptive-analytics-fda4dfc2829a"><strong>Visit Now</strong></a></p>