Based on interviews with 640 global data & analytics leaders.

The buzz around headline-grabbing topics like machine learning (ML) and artificial intelligence (AI) is ever-growing.

But for data and analytics leaders, these trends have practical implications for everything from technology and processes to people and culture.

This research is a timely snapshot into where the real issues and priorities lie for data and analytics leaders, anchored back to four strategic pillars that are relevant to any organization.

The themes themselves are long-lasting: placing the customer first, making evidence-based decisions, automating and optimizing processes with algorithms and reaping the benefits of strong data security.

With contributions from:

• Andrew Hood, Chief Executive Officer at Lynchpin
• Christopher Boone, VP of Global Medical Epidemiology and Big Data Analyst Lead at Pfizer
• Amarnath Lingam, Head of Enterprise Advanced Analytics, Data Science and AI, CDW
• Lara Gureje, Vice President of Data Governance and Stewardship, Bank of the West

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