The Basics of Supply Chain Analytics.

This video covers the basics of supply chain analytics from past activity to predictive analytics.  The realm of supply chain analytics is improving all the time especially in the area of predictive analytics.

Supply chain analytics is the use of data and analytics techniques to optimize and improve the performance of the supply chain. It involves the collection and analysis of data from various sources within the supply chain, such as demand forecasts, production data, inventory levels, and transportation data, to gain insights and inform decision-making.

Here are a few examples of how supply chain analytics can be used:

1. Demand forecasting: Supply chain analytics can be used to forecast demand for products and services, helping to ensure that the right products are available in the right quantities at the right time.
2. Inventory optimization: Supply chain analytics can be used to optimize inventory levels, helping to reduce the costs associated with carrying excess inventory and improving the efficiency of the supply chain.
3. Transportation optimization: Supply chain analytics can be used to optimize transportation routes and schedules, helping to reduce transportation costs and improve the efficiency of the supply chain.
4. Risk management: Supply chain analytics can be used to identify and mitigate risks in the supply chain, such as the risk of disruption to the supply of raw materials or the risk of delays in transportation.

Overall, supply chain analytics is the use of data and analytics techniques to optimize and improve the performance of the supply chain. It involves the collection and analysis of data from various sources within the supply chain to gain insights and inform decision-making.

Big Data and Analytics

• Analytics and Big Data Quotes.
• Big Data Analytics for supply chain beginners.
• Deep Learning: Big Data Intelligence.
• Palantir Demo and Supply Chain.
• Maersk Line: Using the Internet of Things, Data, and Analytics.
• Microsoft CEO Satya Nadella Quotes.
• Smart Supply Chain: Leveraging IoT and Big Data.
• Supply Chain Quotes: Take it to the next level.
• What Is AWS? Amazon Web Services For Beginners.
• What is Palantir? Data Mining Empire.

Supply Chain and Analytics Quotes

• We care about every worker in our worldwide supply chain… What we will not do – and never have done – is stand still or turn a blind eye to problems in our supply chain. On this you have my word. ~Tim Cook, CEO of Apple.
• “Big data will spell the death of customer segmentation and force the marketer to understand each customer as an individual within 18 months or risk being left in the dust.”  ~Ginni Rometty
• “Whether you call is supply chain analytics, supply chain metrics or whatever else, if you aren’t measuring, you’re likely not improving.” ~Dave Waters
• “Not everything that can be counted counts, and not everything that counts can be counted.” ~Albert Einstein
• “Big data is at the foundation of all the megatrends that are happening.” ~Chris Lynch
• “If you torture the data long enough, it will confess.” ~Ronald Coase
• “Supply chains are everywhere. From the biggest company in the world to running your household. We all have supply chain experience even if we don’t know it.” ~EverythingSupplyChain.com
• “Predicting the future isn’t magic, it’s artificial intelligence.” ~Dave Waters