Analytics Engineering with SQL and dbt: Building Meaningful Data Models at Scale
This insightful book by Rui Pedro Machado and Helder Russa dives into the fundamentals of Analytics Engineering using SQL and dbt. It provides professionals with the necessary skills to create impactful data models that support business decisions at scale. The authors emphasize the importance of thoughtful data architecture and how it shapes analytical processes and outcomes. With practical examples and a clear instructional style, this book is essential for anyone looking to enhance their data modeling capabilities and contribute to a data-driven culture within their organizations.
Applied Insurance Analytics: A Framework for Driving More Value from Data Assets, Technologies, and Tools
Patricia Saporito’s “Applied Insurance Analytics” serves as a critical resource for transforming the insurance industry through data analytics. This book presents a framework tailored for professionals aiming to leverage data assets effectively. It emphasizes technologies and analytical tools that drive value, ensuring readers can navigate the complexities of the insurance world. With its clear structure and practical insights, this book is a treasure for anyone seeking to optimize insurance processes and strategies through analytics.
Modern Data Analytics in Excel: Using Power Query, Power Pivot, and More for Enhanced Data Analytics
George Mount’s “Modern Data Analytics in Excel” is a must-read for anyone who wants to unlock the full potential of Microsoft Excel for data analysis. This book teaches readers how to use Power Query and Power Pivot to handle large data sets with ease, enabling enhanced analytical capabilities. The parallel of real-world applications to Excel features showcases a tailored guide that helps users of all skill levels to make informed decisions and enhance their analytical skills in a familiar environment. Don’t miss out on mastering your Excel analytics!
Supply Chain Analytics and Modelling: Quantitative Tools and Applications
Dr. Nicoleta Tipi’s “Supply Chain Analytics and Modelling” serves as an essential guide for supply chain professionals. This book applies quantitative tools to real-life situations, providing readers with frameworks to analyze and improve supply chain operations effectively. The integration of case studies enhances learning, allowing readers to see the direct impact of analytics on logistical challenges and solutions. This book is invaluable for those striving to achieve operational excellence in supply chain management.
Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph
In “Big Data Analytics,” David Loshin takes readers on a comprehensive journey into the world of big data. This book explores strategic planning and integration at an enterprise level, discussing various tools and techniques such as NoSQL databases and graph analysis. Loshin’s insights offer readers a broader understanding of how to leverage big data analytics for business growth and efficiency. This book is an essential read for data professionals looking to navigate and thrive in today’s data-driven landscape.
Process Tracing: From Metaphor to Analytic Tool
Authored by Andrew Bennett and Jeffrey T. Checkel, “Process Tracing” is an intriguing exploration of how this methodology serves as an analytical tool in social inquiry. The authors provide a deep dive into the conceptual underpinnings and the practical application of process tracing to uncover causal mechanisms. This book is pivotal for researchers and students alike who aim to deepen their understanding of causal inference and strengthen their research design, making it an essential addition to any academic library.
Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age
Kevin D. Ashley’s “Artificial Intelligence and Legal Analytics” is a groundbreaking work that reveals how AI is transforming the legal field. The book outlines the advancements in legal analytics and the implications of new tools for legal practice. Ashley makes complex technological concepts accessible, making it easier for lawyers and legal professionals to incorporate these advancements into their workflows. This must-read offers an insightful look into the future of law, emphasizing the importance of embracing digital transformation.
Advanced Analytics with Power BI and Excel
Dejan Sarka, Jernej Rihar, and Klemen Vončina bring us “Advanced Analytics with Power BI and Excel,” a must-have guide for data analysts seeking to boost their analytical skills. This book explores potent visualization and analysis techniques using Microsoft’s BI tools, integrating Python and R for enhanced performance. Readers will find comprehensive explanations and practical applications ideal for improving their data storytelling capabilities. With clear and engaging content, this book will empower both beginners and experienced analysts to elevate their practice.
The Data Economy: Tools and Applications
Isaac Baley and Laura L. Veldkamp delve into the intricacies of the data economy in their compelling book, “The Data Economy: Tools and Applications.” This resource illustrates how organizations can harness tools and applications to thrive in a data-driven world. The careful examination of economic principles and analytics offers invaluable insights for business leaders, strategy professionals, and data enthusiasts. It’s a nexus of theory and application that can transform decision-making in any data-savvy organization.
Data Analytics and Quality Management Fundamental Tools
Joseph Nguyen’s “Data Analytics and Quality Management” breaks down fundamental tools necessary for effective data analytics in quality management. This book is a practical resource for professionals seeking to improve their quality management processes through data-driven decisions. With its straightforward approach and practical examples, it guides readers in applying analytical techniques to elevate their organizational quality standards. This is an invaluable addition for quality managers and data analysts devoted to ensuring excellence.
