Driving Adoption of Supply Chain Analytics

Seven proven strategies for supply chain leaders

The biggest hurdle to analytics adoption is an inability to incorporate supply chain analytics in what traditionally has been subjective decision making. Failed analytics adoption is often attributed to resistance from analytics users, but lack of support and buy-in from managers across the organization can be equally detrimental to building an analytics culture.

Analytics adoption requires readiness and commitment from the organization to use analytics as the primary driver of decision making. Supply chain leaders must prove the benefits of supply chain analytics by using data to quantify the value of fact-based decisions versus subjective decision making. 

Fill out the form to download strategic research on supply chain analytics adoption. This research explores seven strategies proven to encourage broader use of analytics across the supply chain.

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    Gartner support for supply chain analytics adoption

    Supply chain excellence depends on strong supply chain analytics strategy. Yet for many organizations, driving analytics adoption faces many challenges: Few have the data foundation needed; relevant talent and skills are limited; and adoption is low because ROI is unclear. To make better supply chain and organizational decisions, it’s critical that you harvest accurate and comprehensive data, secure the technical and business skills needed to maximize its value, and invest in real-time analytics and digital solutions. We can help supply chain leaders build a strong analytics strategy and drive supply chain analytics adoption. Visit gartner.com to learn how we support our 2,500+ supply chain leader clients with insights, advice, data and tools.