Data In Context Models As Enablers For Managing And Using Data Bas Van Gils by Bas Van Gils 9783031355387, 9783031355394, 3031355385, 3031355393, B0C6WYB7GK instant download after payment.

This book is about data fundamentals. The author describes in an accessible manner the fundamentals of what data is, the difference between information and data, and the pragmatic application of abstract data modeling techniques in the day-to-day business. The data management techniques are described both from a scientific, theoretical perspective and from an a practical, application-related perspective. The theoretical concepts are illustrated with concrete examples. This combination of theory and practical application provides an own unique signature to this data management book, which distinguishes it from many other books.

The field of Data Science is extensive and pulls together several disciplines as I will demonstrate shortly. A full account of what Data Science is, how it works, and all the techniques that are involved is beyond the scope of this chapter. My objective is to capture the highlights in line with the purpose of this book, to present an overview of (understanding, managing, and using) data, and getting value from it in a specific business context. Several definitions of Data Science are currently in use. Wikipedia defines it as follows: Data Science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms, and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data.

A definition by IBM states that:
Data Science combines math and statistics, specialized programming, advanced analytics, Artificial Intelligence (AI), and Machine Learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data. These insights can be used to guide decision making and strategic planning.