Ron Kenett and I are working on a new book titled "Information Quality: The Potential of Data and Analytics to Generate Knowledge", to be published by John Wiley & Sons in 2015. The book introduces, conceptually and with examples, the notion of Information Quality (InfoQ), which is the potential of a dataset to achieve a goal of interest, using data analysis. The InfoQ framework is relevant in the design, monitoring and general assessment of work performed by statisticians and analysts who deploy analytic tools on a given dataset, to generate knowledge. The book shows how to bring together the notions of goal, data, analysis and utility that are the main building blocks of data analysis within any domain. Whether the information quality of a dataset is sufficient is of practical importance at many stages of the data analytics journey, from the pre-data collection stage (to determine what data to collect) to the post-data collection and post-analysis stages (evaluating the usefulness of the analysis). It is also critical to various stakeholders: data collection agencies, analysts, data scientists, and management. Designed as a prime reference and textbook on the topic of InfoQ, the book will be useful in traditional data analysis courses (statistics, data mining, data analysis, business analytics, operations research, etc.), and especially as part of the growing number of graduate programs in business analytics and data science. The book will consist of three parts: Part I will introduce InfoQ and the InfoQ framework. Part II will present case studies of real-world analysis using the InfoQ framework, in a wide range of applications (education, healthcare, information technology, risk management, marketing, surveys, and more). Part III will be dedicated to implementation issues of InfoQ.