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.