Maturing in the adoption of supply chain analytics is a prerequisite to successful supply chain digitalization. As a starting point to advancing along this maturing journey, supply chain leaders responsible for analytics strategy must gauge their organization’s current analytics capabilities. Gartner's research presents a five-stage model that a supply chain analytics leader can use to gauge analytics maturity and guide the organization in building an end-to-end analytics competency.
Supply Chain Analytics
Build a stronger supply chain analytics strategy competence
Map Your Journey to Supply Chain Analytics Excellence
Leaders struggle to balance efforts when building a supply chain analytics foundation and competencies
The relationship between advanced analytics and supply chain excellence is undeniable. Leaders in supply chain have consistently credited analytics as a key differentiator to cope with complexity and capitalize on market opportunity. To follow suit, supply chain organizations are focusing on building strong analytics competencies. However, many companies are still on the early road to harvesting data and the successful use of analytics.
Clarify supply chain analytics goals, secure talent and invest in technology
Across industries, high-performing companies invariably share one commonality — the growing ability to leverage data and analytics to make better supply chain and organizational decisions. Supply chain leaders should focus on three areas when developing a solid analytics foundation: Clarifying goals, securing talent and investing in technology.
Strategic supply chain insights you can use
Gartner's future work insights, advice, data and tools helps supply chain leaders develop effective strategies to build a foundation for successful use of analytics and improving adoption.
Leverage Data & Analytics to Support Supply Chain Digitalization
This complimentary webinar looks at the significant hurdles that many organizations still face in evolving their supply chain talent towards data-driven decision-making, and how to overcome those hurdles.
The Supply Chain Analytics Leader’s First 100 Days
Supply chain analytics leaders can use this research to map out their team's strategy, assess current capabilities and build key relationships with stakeholders.
Improve the Supply Chain With Advanced Analytics and AI
A Gartner survey shows supply chain analytics leaders using advanced analytics and AI to augment and automate supply chain decision making.
Essential Roles and Talent to Achieve Supply Chain Analytics and Excellence
Supply chain leaders responsible for analytics talent and strategy can use this research to pursue the roles and skills required to succeed in supply chain analytics.
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Gartner topic experts
Gartner’s supply chain experts include more than 100 people worldwide. Meet a few of our leaders.
Caroline Chumakov
Principal Analyst
Mike Griswold
VP Analyst
Noha Tohamy
Distinguished VP Analyst
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