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Data Excellence: How Data Leadership Can Drive Stronger Organizational Performance - Paperback

$70.36 USD
$70.36 USD
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Product Description

by Roberto M. Maranca (Author)

How can data leaders build long-term value in the era of AI?

Data Excellence
by Roberto Maranca is the strategic guide for Chief Data Officers, VPs, Directors and consultants responsible for delivering sustained, measurable data performance. Combining tactical insight with long-term vision, this book shows how to embed data leadership across the enterprise and drive real organizational value, beyond just tools or tech.

Framing the data leader as a performance coach, it offers a clear methodology for building scalable data capabilities that align with AI-driven transformation, governance and business goals.

You'll learn how to:
- Build a culture of data performance through behavior and mindset shifts
- Strengthen change execution and align initiatives across business units
- Deliver measurable value through data productization and cost-benefit analysis
- Evaluate risk and control functions across the data lifecycle
- Apply performance diagnostics including use-case readiness and initiative mapping

With practical tools and strategic depth, Data Excellence equips senior data leaders to future-proof their organizations and lead with impact in an increasingly AI-powered landscape.

Themes include: data leadership, organizational performance, AI-era transformation, data culture, value generation, data governance

Author Biography

Roberto M Maranca is currently Data Officer for the Energy Management Business of Schneider Electric and prior to that, held C-suite leadership roles as the Group Data Officer for Lloyds Banking Group and Chief Data Officer at General Electric. He has been listed multiple times as one of Data IQ 100's most influential people in data and is a regular keynote speaker at leading data and business conferences. He is based in London, UK.

Number of Pages: 280
Dimensions: 0.59 x 9.21 x 6.14 IN
Publication Date: October 28, 2025