The Importance of Data Analytics In Supply Chain Management - PowerPoint PPT Presentation

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The Importance of Data Analytics In Supply Chain Management

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the use of data analytics in supply chain management fosters the use of cognitive technologies such as artificial intelligence and machine learning. In this post, we shed light on the significance of implementing data analytics features in supply chain application development. – PowerPoint PPT presentation

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Title: The Importance of Data Analytics In Supply Chain Management


1
The Importance of Data Analytics In Supply Chain
Management
2
  • As of today, an increasing number of enterprises
    use BI tools and advanced analytics methodologies
    to gain real-time insights into business data.
    Using data-driven analytics techniques in
    different fields enables organizations to
    evaluate their business performance and pinpoint
    areas for improvement. At the same time, it aids
    in optimizing business process management
    strategies with intelligent decision-making.
  • Data analytics has become even more critical for
    manufacturing companies that thrive on fulfilling
    the needs and expectations of their customers. A
    majority of manufacturing companies implement
    advanced analytics techniques to efficiently
    manage their inventory, warehouse, sales, and CRM
    operations. However, they often overlook the
    importance of data analytics in supply chain
    management.
  • In this post, we shed light on the significance
    of implementing data analytics features in supply
    chain application development.

3
  • Supply Chain Analytics Why Does It Matter?
  • The term analytics represents the ability of a
    system to make data-driven decisions using
    advanced algorithms and data visualization
    techniques. That said, supply chain analytics
    deals with the effective management of data
    associated with supply chain operations.
    Understandably, supply chains produce enormous
    amounts of data on an everyday basis. According
    to experts, this data holds a hidden value that
    can provide ample information about the existing
    SCM strategies and their efficacy.
  • However, a major amount of supply chain data is
    unstructured. Thus, we require advanced software
    tools to make sense of this data and extract
    hidden patterns to gain valuable insights.
    Besides, the use of data analytics in supply
    chain management fosters the use of cognitive
    technologies such as artificial intelligence and
    machine learning.

4
  • Why Choose Oodles ERP For Supply Chain
    Application Development?
  • We are a 360-degree ERP development company that
    provides complete enterprise solutions for
    cross-industry business use cases. Our
    development team is skilled at implementing data
    analytics in supply chain management processes to
    streamline complex SCM operations with reduced
    manual strain. We use open-source ERP platforms
    like Odoo, OFBiz, ERPNext, and Opentaps to
    develop data-driven supply chain software
    solutions. Our BI software development services
    let you scrupulously optimize your operations and
    achieve business goals with intelligent
    decision-making. To know more about supply chain
    software development services, visit our website
    or drop us a line at erp_at_oodles.io.
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