Supply Chain Mastery Series Episode 2 - Unveiling the Power of Analytics in Supply Chain

In this episode, I am talking with Eshwar and Sumit on the power of analytics of supply chain. I am adding in some notes which you can refer to while hearing the conversation. Do not forget to follow NLG Talks ! What are the types of supply chain analytics? (IBM Inspired)  Descriptive analytics - Provides visibility and a single source of truth across the supply chain, for both internal and external systems and data. Predictive analytics - Helps an organization understand the most likely outcome or future scenario and its business implications. For example, by using predictive analytics, you can project and mitigate disruptions and risks. Prescriptive analytics - Helps organizations solve problems and collaborate for maximum business value. Helps businesses collaborate with logistic partners to reduce time and effort in mitigating disruptions. Cognitive analytics - Helps an organization answer complex questions in natural language—in the way a person or team of people might respond to a question. It assists companies to think through a complex problem or issue, such as “How might we improve or optimize X?” Applying cognitive technologies - Supply chain analytics is also the foundation for applying cognitive technologies, such as artificial intelligence (AI), to the supply chain process. Cognitive technologies understand, reason, learn and interact like a human, but at enormous capacity and speed.