The Data Driven Product Manager A Blueprint 2025
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The Data-Driven Product Manager: A Blueprint 2025
Author: Naga Srirama Narasimha Raviteja Malladi, Prof SumanYadav
language: en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date:
PREFACE In today’s rapidly evolving business landscape, the role of a product manager is more critical—and more complex—than ever before. “The Data-Driven Product Manager: A Blueprint” was born out of the recognition that intuition and experience, while valuable, can only take you so far. To truly excel in product management, one must harness the power of data to drive decision-making, fuel innovation, and ultimately deliver products that resonate with customers and succeed in the market. This book is designed as a comprehensive guide for product managers who are eager to integrate data-driven strategies into every facet of their work. Whether you are a seasoned professional looking to refine your approach or a newcomer seeking a structured path into the world of product management, this blueprint provides the tools, techniques, and insights necessary to transform raw data into actionable intelligence. Throughout the chapters, you will encounter practical frameworks and real-world examples that illustrate how data can be seamlessly integrated into product lifecycle management. From initial market research and customer segmentation to product launch and post-launch analysis, each section is crafted to offer a step-by-step roadmap for developing and scaling products in a competitive market. One of the key themes of this book is the transformation of data from a mere byproduct of operations into a strategic asset. In doing so, it addresses common obstacles such as data quality issues, integration challenges, and the cultural shift required within organizations to embrace analytics as a core component of the product management process. We offer actionable advice on building data infrastructure, fostering cross-functional collaboration, and cultivating a mindset that values experimentation and continuous improvement. The decision to write this book was fueled by the growing recognition that data-driven product management is not just a trend but a fundamental shift in how products are conceptualized, built, and refined. In an era where customer expectations are constantly evolving and market conditions can change overnight, the ability to adapt quickly using insights derived from data is no longer optional—it is essential for survival and success. I invite you to embark on this journey with an open mind and a readiness to challenge conventional practices. As you progress through the chapters, my hope is that you will find not only practical strategies and technical guidance but also inspiration to innovate boldly and lead confidently. Let this blueprint serve as both a reference and a catalyst for your growth as a data-driven product manager, empowering you to make informed decisions that drive real impact. Welcome to the future of product management. Welcome to a world where data lights the way forward. Authors
Intelligent Product Management in the Era of Data Democratization: A BI-Centric Approach 2025
Author: AUTHOR-1: SHIREESHA GORGILLI, AUTHOR-2: PROF DR PUNIT GOEL
language: en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date:
PREFACE In the evolving landscape of digital product management, data is no longer a support tool—it is the strategic core. Today’s product leaders are expected not just to build delightful features, but to make rapid, high-stakes decisions informed by real-time data, predictive insights, and collaborative intelligence. The rise of business intelligence (BI) and data democratization has shifted the way organizations think, operate, and scale. This book, “Intelligent Product Management in the Era of Data Democratization: A BI-Centric Approach—serves as a comprehensive guide to this transformation. Whether you’re a product manager navigating cross-functional dynamics, a data engineer embedding predictive analytics into product pipelines, or a business leader scaling governance framework, this book offers the tools, case studies, and frameworks to help you thrive in a BI-enabled world. Each chapter explores a foundational pillar of intelligent product management—from building a data-driven culture and integrating BI across lifecycles, to architecting intelligent metrics systems and deploying automation at scale. Chapter 1 introduces the foundational principles of data democratization, setting the stage for product teams to unlock data fluency and equitable access across roles. Chapter 2 emphasizes cultural transformation, where leadership plays a pivotal role in nurturing a decision-intelligent environment. Chapter 3 dives deep into the BI technology stack, guiding readers through platforms, pipelines, and self-service frameworks essential for modern data operations. Chapters 4 through 6 explore the integration of BI into daily product workflows, visualization best practices, and advanced analytics paradigms—highlighting both centralized and distributed models of control. Chapter 7 ventures into a specialized application of predictive intelligence: battery diagnostics—showing how machine learning revolutionizes lifecycle forecasting and anomaly detection in energy systems. As organizations move from insight to action, Chapters 8 to 10 illustrate the power of collaboration, automation, and role-based governance in driving excellence at scale. These sections provide detailed blueprints for aligning products, engineering, and data teams around shared metrics and objectives, while also reducing operational friction through embedded intelligence and automated experimentation. Finally, Chapter 11 synthesizes the book’s themes through a future-facing lens: designing an intelligent metrics architecture that scales with your product’s complexity and growth. It champions metric thinking not just as a measurement practice, but as a product design principle rooted in continuous learning and impact. This book is designed to be practical yet forward-looking, informed by real-world examples from high-growth companies, backed by research, and structured to serve both new and experienced professionals. In a world where decisions are product features, our aim is to equip you with the mindset and tools to lead boldly with intelligence, empathy, and data. Authors
A Data-Driven Blueprint: Empowering Businesses with Customer-Centric Data Warehouses
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-04-17
In the era of data-driven decision-making, organizations are seeking innovative ways to leverage customer data to gain actionable insights and drive business growth. This comprehensive guide to data warehousing provides a practical roadmap for businesses aiming to harness the power of customer data and transform it into a strategic asset. With a focus on customer relationship management (CRM), this book delves into the intricacies of designing and implementing data warehouses that cater specifically to the needs of businesses looking to build lasting customer relationships. It offers a step-by-step approach to defining business requirements, identifying and understanding customer data, and designing an effective data warehouse schema. The book also explores the fundamental concepts of data warehousing, providing a solid foundation for understanding data warehouse architecture, components, and data integration and data quality management techniques. It emphasizes the importance of data extraction, transformation, and loading (ETL) processes, offering practical guidance on data extraction techniques, data transformation methods, and data loading strategies. Furthermore, the book delves into the practical aspects of data warehouse implementation and deployment, examining various data warehouse platforms, deployment architectures, and performance tuning techniques. It also covers data warehouse maintenance and management practices, including data warehouse administration, monitoring, backup and recovery strategies, and data governance and security considerations. Additionally, the book investigates data analysis and reporting techniques, exploring data warehousing tools and techniques for data analysis, effective data warehouse report design, data visualization techniques, and the application of data mining and machine learning algorithms. It also examines emerging trends and innovations in data warehousing, such as cloud-based data warehousing solutions, big data integration, and the use of artificial intelligence in data warehousing. This comprehensive guide is an indispensable resource for business leaders, data analysts, and IT professionals seeking to leverage customer data for improved decision-making, enhanced customer experiences, and sustained competitive advantage. If you like this book, write a review on google books!