IDC PeerScape: Practices for Creating and Managing an Analytics Center of Excellence

IDC PeerScape: Practices for Creating and Managing an Analytics Center of Excellence

This IDC PeerScape explores practices for creating and managing an analytics center of excellence.There's widespread agreement that an "intelligent data platform" is critical for digital transformation, but how do you make sure it creates tangible business value? Many organizations are creating a "center of excellence" to corral resources and coordinate the production of data-driven insights from business intelligence (BI) tools, data analytics, artificial intelligence (AI), and machine learning. Chief information officers and chief data officers who plan to launch an analytics center of excellence — as they are often called — will need to establish credibility quickly and then establish priorities for which projects to work on, according to the pioneers quoted in this document."Organizations that have created these centers find that the keys to success are a collaborative culture and keeping the data scientists focused on high-value projects," says Mitch Betts, adjunct analyst with IDC's IT Executive Programs.


IDC PeerScape Figure
Executive Summary
Peer Insights
Practice 1: Organize the COE with an Emphasis on Collaboration and Partnerships
Challenge
Examples
Guidance
Practice 2: Quickly Establish Credibility and Show Business Value
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Practice 3: Develop a Clear Process to Focus on Strategic Business Priorities
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Guidance
Practice 4: Recruit, Develop, and Manage Talent Very Carefully
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Guidance
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