Supply Chain Analytics

A strong supply chain analytics strategy drives better decisions

Mitigate disruption in 6 steps with supply chain analytics

+70% of supply chain leaders say their supply chain is facing greater and more frequent business disruptions. Minor disruptions are generally addressed quickly and easily, but to sense, analyze and respond to major disruptions, you need supply chain analytics. How do you build a strong supply chain analytics strategy? 

Download our report to see the 6 steps proven for building supply chain analytics that will help you with COVID-19 recovery and preparing for the future supply chain.

 

Download 6-step report

By clicking the "Continue" button, you are agreeing to the Gartner Terms of Use and Privacy Policy.

Contact Information

All fields are required.

  • Step 2 of 3

    By clicking the "Continue" button, you are agreeing to the Gartner Terms of Use and Privacy Policy.

    Company Information

    All fields are required.

    Optional Optional
  • Step 3 of 3

    By clicking the "Submit" button, you are agreeing to the Gartner Terms of Use and Privacy Policy.

    We meet with Gartner analysts on a regular basis to get a pulse of the market, hype vs. reality. With Gartner we get a lot of insight into what works and what doesn't, drawn from extensive surveys of CSCOs and Operators at the tactical level.

    Product Manager, Supply Chain Software Developer

    3 challenges to supply chain analytics success

    Supply chain excellence depends on strong supply chain analytics strategy. Yet, for many organizations, successful supply chain analytics adoption faces many challenges:

    • Few organizations have the scalable data foundation needed to build supply chain analytics that accurately represent the supply chain.
    • Talent and skills relevant to supply chain analytics are limited.
    • A lack of clarity on the supply chain analytics business case can slow down adoption.
    In a recent survey, 74% of supply chain executives rated advanced analytics as one of their top two most important emerging technologies.
    In a Gartner supply chain survey, 79% of respondents said that they have developed training programs to help their internal users with advanced analytics adoption

    3 steps to building a strong supply chain analytics strategy

    To make better supply chain and organizational decisions, supply chain leaders responsible for analytics strategy and adoption should:

    • Harvest accurate and comprehensive data, securing the technical and business skills needed to maximize its value
    • Test a variety of supply chain analytics techniques to understand which is most effective for mitigating business disruptions
    • Invest in real-time supply chain analytics and digital solutions
    In a Gartner supply chain survey, 79% of respondents said that they have developed training programs to help their internal users with advanced analytics adoption

    Supply chain analytics insights you can use

    Gartner's insights, advice, data and tools help supply chain leaders build a strong supply chain analytics strategy that improves supply chain and organizational decision making.

    Drive adoption of supply chain analytics

    Analytics adoption requires readiness and commitment from the organization to use analytics as the primary driver of decision making. Learn 7 strategies proven to drive analytics adoption across the supply chain.

    Supply chain scenario planning

    Our 4-step guide to running a supply chain scenario planning exercise helps in creating and effectively communicating supply chain scenarios and using the scenarios to continuously revise supply chain strategies.

    Future of supply chain: 5 trends to act on now

    Discover the supply chain leader's new imperatives and get specific recommendations to reset supply chain strategy and operations.

    Assemble a Winning Supply Chain Analytics Team

    Adapt job description templates to fill open roles on your supply chain analytics team.

    Your guide to supply chain analytics technology

    This guide examines the 4 categories of supply chain analytics technologies, helping supply chain analytics leaders select the right technology based on unique organizational needs.

    Questions about becoming a Gartner client?

    Gartner Supply Chain Symposium/Xpo™

    Join the world's most important gathering of CSCOs, supply chain executives along with Gartner experts to transform and innovate your supply chain strategy.

    Client Testimonial

    Discover supply chain best practices from your peers

    During this on-demand panel discussion, you’ll hear from supply chain leaders on how they are continuing to lead during times of disruption. 

    Watch “Panel Discussion: Lead Through Times of Disruption in Supply Chain” to hear:

    • Real-life examples of how companies leveraged Gartner insights and tools to navigate disruption
    • Supply chain innovation and agility during times of disruption
    • How to address your most pressing supply chain challenges

    Gartner Supply Chain Top 25 for 2021

    See the 17th annual ranking of the world’s superior supply chains to learn the standard for supply chain excellence.

    Supply chain analytics FAQs

    To assess the performance of your supply chain analytics strategy, Gartner recommends:

    • Investigating what role supply chain analytics plays in business and supply chain strategies, and what key initiatives supply chain analytics can support (e.g., greater customer collaboration, more accurate demand forecasts, lower inventory costs).
    • Examining data governance and gauging the quality and availability of the data.
    • Creating an inventory of current supply chain analytics solutions and investigating technologies that could support supply chain analytics projects.
    • Auditing supply chain analytics skills and talking with both core and extended teams to uncover the availability of required supply chain and technical resources.
    • Performing a high-level, current-state assessment in order to gain and share an understanding and overall maturity level of supply chain analytics.
    • Defining the obstacles that exist in the supply chain today in order to prioritize the challenges that analytics must address (e.g., data availability, skill set shortage, lack of funding for new technology, cultural resistance).

    Gartner recommends you communicate supply chain analytics performance via the following success metrics.

    • Financial metrics: For example, revenue growth and cost reduction.
    • Supply chain metrics: For example, demand forecast accuracy and customer order cycle time.
    • Process metrics: For example, the size of the team for preparing for the sales and operations planning meeting, or the elapsed time for generating performance metrics reports.
    • Team sentiment: This is a more qualitative metric that focuses on users' perception of the value of supply chain analytics in supporting better decision making, or freeing their time for higher value-added tasks. This metric can be used to monitor adoption and anticipate potential roadblocks on future supply chain analytics projects.

    There are four primary organizational structures for a supply chain analytics team:

    • Centralized: The supply chain analytics team is a centralized supply chain function.
    • Decentralized: Supply chain analytics competencies reside in individual business units or functions.
    • Supply Chain Analytics Needs Are Supported by an Enterprise Analytics Group: A general enterprise analytics team handles supply chain analytics needs.
    • Supply Chain Analytics Needs Are Supported by External Service Providers: An external service provider handles supply chain analytics needs.

    While some companies choose one of these, others combine them to create a hybrid organizational structure, aiming to capture the best of each and avoid individual shortcomings.

    To choose the right organizational structure for your supply chain analytics team, Gartner recommends:

    • Understanding the current and future business goals that drive analytics adoption in the supply chain.
    • Building a roadmap for supply chain analytics, clarifying the current requirements and the vision for future capabilities.
    • Assessing the current and future investments available to build a supply chain analytics competency center.
    • Understanding the current analytics skill sets in the supply chain and across the enterprise.
    • Understanding the available analytics technologies in the supply chain and across the enterprise.
    • Investigating the supply chain organization’s track record in successfully embracing various organizational structures.
    • Determining whether the supply chain group can successfully manage outsourcing relationships.
    • Continually evaluating the fit of the organizational structure and adjusting based on current business needs and conditions.

    Support on supply chain analytics

    Gartner provides trusted insights and objective advice to help its 2500+ supply chain leader clients build a strong supply chain analytics strategy.