Basic overview of data analytics in supply chain

数据对于企业制定战略、简化运营、引入新产品和服务以及确保客户满意度非常重要。但是，除非经过分析、理解和采取行动，否则数据本身并没有多大用处。数据分析通过允许分析师更深入地挖掘供应链而受益于新技术工具。同时，人的判断仍然是分析中最重要的因素。

数据被定义为存储在发票、合同和提单等各种地方的事实、数据或信息。通过收集数据，企业可以提高运输透明度、可见性、运营效率以及产品和服务。所有这些都吸引了更多的用户。透明度和可见性至关重要，尤其是当货物在运输途中出现问题时。

通过利用数据，如果没有足够的支持，就不必在瞬间做出决定。在审查与供应链合作伙伴的发票和合同时，透明度和可见性也很重要。尽管有良好的意图，但可能会产生隐藏的成本。它们通常以附加费的形式出现，例如额外的交货区域费、额外的处理费和燃料。消耗率和库存水平是对正确的库存规划和开发至关重要的数据点之一。

Instructors: Pattabhi Raman
1 section • 9 lectures • 1h 55m total length
Video: MP4 1280×720 44 KHz | English + Sub
Updated 3/2022 | Size: 878 MB

Data Analytics for Supply Chain (Intro)

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

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