商品描述
Is your company struggling to get real value from data? Problem solved. This book is your guide to transforming an organization from one that treats data as an afterthought or merely a support function into one that makes data a key driver of product development and business innovation. In doing so, you'll be able to measure outcomes that matter, rather than just tracking features shipped. In a world where products are increasingly driven by data and AI, traditional approaches to product development and data management have become barriers to growth rather than enablers of success. At its core, this book establishes two fundamental principles for success: autonomous, outcome/data-driven product teams and the need for data assets to be managed as products. These principles are then expanded into practical frameworks, step-by-step implementation guides, and maturity models, that cross-functional teams in any industry can incorporate in their decision-making. Whether you're a product manager wanting to become more data-fluent, a data professional aiming to increase your product impact, or a leader trying to break down silos in your organization,
Data as a Product Driver provides practical steps to transform how your company uses data.
What You Will Learn Reorganize your teams around business problems instead of technical disciplines. Manage the transition from centralized data teams to domain-driven decentralized data ownership. Build effective data platform teams that enable product teams while maintaining consistent standards across your data ecosystem. Create data assets that provide lasting value across your organization. Implement the right operating model for your company's size and maturity level.
Who This Book is For Product and data leads driving organizational transformation, product managers, team accountable leads, and data practitioners, such as data engineers, data analysts, data scientists, and ML engineers, who are willing to evolve their team's operating model to maximize value from data.
商品描述(中文翻譯)
您的公司是否在從數據中獲取真正的價值方面遇到困難？問題解決了。本書是您將組織從將數據視為附帶考量或僅僅是支持功能的轉變指南，轉變為將數據作為產品開發和商業創新的關鍵驅動力的組織。這樣一來，您將能夠衡量重要的結果，而不僅僅是追蹤已發佈的功能。
在一個產品越來越依賴數據和人工智慧的世界中，傳統的產品開發和數據管理方法已成為增長的障礙，而非成功的助力。本書的核心建立了兩個成功的基本原則：自主的、以結果/數據為驅動的產品團隊，以及需要將數據資產作為產品進行管理。這些原則隨後擴展為實用的框架、逐步實施指南和成熟度模型，任何行業的跨功能團隊都可以在其決策中納入這些內容。
無論您是希望提高數據流暢度的產品經理、旨在增加產品影響力的數據專業人士，還是試圖打破組織內部孤島的領導者，《數據作為產品驅動力》提供了實用的步驟來改變您的公司使用數據的方式。
您將學到的內容：
- 根據業務問題而非技術學科重新組織您的團隊。
- 管理從集中式數據團隊到以領域為驅動的去中心化數據擁有權的過渡。
- 建立有效的數據平台團隊，支持產品團隊，同時在您的數據生態系統中保持一致的標準。
- 創建在整個組織中提供持久價值的數據資產。
- 為您公司的規模和成熟度水平實施合適的運營模式。
本書適合於：
推動組織轉型的產品和數據負責人、產品經理、負責團隊的領導者，以及願意改進其團隊運營模式以最大化數據價值的數據從業者，如數據工程師、數據分析師、數據科學家和機器學習工程師。
作者簡介
Xavier Gumara Rigol has spent more than a decade at the intersection of product development and data, leading cross-functional teams focused on Business Intelligence, Data Engineering, Experimentation, and Product Information Management. His career spans from implementing data architectures for small businesses during his consulting days to participating in data transformation initiatives at companies like Schibsted, Adevinta, Oda, and Manychat. Having witnessed firsthand the evolution from treating data as a support function to embracing it as a core product driver, Xavier brings a unique perspective that makes him an authoritative voice on the convergence of data and product development.
作者簡介(中文翻譯)
Xavier Gumara Rigol 在產品開發與數據的交匯處工作了十多年，領導專注於商業智慧（Business Intelligence）、數據工程（Data Engineering）、實驗（Experimentation）和產品信息管理（Product Information Management）的跨功能團隊。他的職業生涯從為小型企業實施數據架構的顧問工作開始，並參與了像 Schibsted、Adevinta、Oda 和 Manychat 等公司的數據轉型計劃。Xavier 親眼目睹了數據從被視為支持功能到被視為核心產品驅動力的演變，這使他擁有獨特的視角，成為數據與產品開發融合的權威聲音。
