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Data Excellence (How Data Leadership Can Drive Stronger Organizational Performance) - 9781398614802

List Price: $75.00
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9781398614802
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  • Product Details

    Author:
    Roberto M Maranca
    Format:
    Hardcover
    Pages:
    280
    Publisher:
    Kogan Page (October 28, 2025)
    Imprint:
    Kogan Page
    Language:
    English
    Audience:
    College/higher education
    ISBN-13:
    9781398614802
    ISBN-10:
    1398614807
    Weight:
    20oz
    Dimensions:
    6.14" x 9.21"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260423165242-20260423.xml
    Folder:
    TWO RIVERS
    List Price:
    $75.00
    Pub Discount:
    60
    Case Pack:
    20
    As low as:
    $64.50
    Publisher Identifier:
    P-PER
    Discount Code:
    C
  • Overview

    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