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Basic Overview of Data Analytics in Supply Chain
Rating: 4.5 out of 5(37 ratings)
573 students

Basic Overview of Data Analytics in Supply Chain

Data Analytics for Supply Chain (Intro)
Created byPattabhi Raman
Last updated 4/2024
English

What you'll learn

  • Understand the benefits of data analytics
  • Have an over-view of possibilities, including a few case studies
  • Learn basic s of data analytics
  • learn how SCM is used in analytics

Course content

1 section9 lectures1h 55m total length
  • Data science vs data analytics15:34


    Value of data

  • CRISP DM16:15

    What is big data?

  • Visualization15:08

    which graph?

  • Data evolution15:32

    various levels of analytics

  • Supply chain analytics – basics11:12


    Challenges in Supply Chain

  • Excel wonder12:25

    add-on tools

  • Case study overview 112:56


    spare parts forecasting

  • Case study overview211:39

    Back-order

  • Employers expectation4:55

    Employers expectation

Requirements

  • Basic knowledge on Supply Chain & data science

Description

Why data analytics is important in Supply Chain?

Data is important to businesses in formulating strategies, streamlining operations, introducing new products and services, and ensuring customer satisfaction. But data alone isn’t much good unless it’s analyzed, understood, and acted upon. Data analysis is benefiting from new technology tools by allowing analysts to dig more deeply into supply chains. At the same time, human judgment remains the most important element in the analysis. Data is defined as facts, figures, or information that are stored in a variety of places such as invoices, contracts, and bills of lading. By collecting data, a business can improve shipment transparency, visibility, operational efficiency, and products and services. All of which attracts more users. Transparency and visibility are crucial, particularly if something goes wrong while shipments are in transit. By utilizing data, a split-second decision doesn’t have to make without adequate support. Transparency and visibility are also important when reviewing invoices and contracts with supply-chain partners. Despite good intentions, hidden costs can occur. They usually come in the form of surcharges such as extra delivery-area fees, additional handling, and fuel.. Consumption rates and inventory levels are among the data points critical to proper inventory planning and development.

Who this course is for:

  • Freshers, Juniors and others interested in Supply Chain Analytics