by Soraya Sedkaoui (Author, Editor)
About the Author
Soraya SEDKAOUI, Researcher at TRIS Laboratory (University of Montpellier, France); HDR & Lecturer in Khemis Miliana University (Algeria); Data analyst at SRY Consulting, Montpellier, France).
About this book
In a resolutely practical and data-driven project universe, the digital age changed the way data is collected, stored, analyzed, visualized and protected, transforming business opportunities and strategies. It is important for todays organizations and entrepreneurs to implement a robust data strategy and industrialize a set of data-driven solutions to utilize big data analytics to its fullest potential.
Big Data Analytics for Entrepreneurial Success provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques within business applications. Featuring coverage on a broad range of topics such as algorithms, data collection, and machine learning, this publication provides concrete examples and case studies of successful uses of data-driven projects as well as the challenges and opportunities of generating value from data using analytics. It is ideally designed for entrepreneurs, researchers, business owners, managers, graduate students, academicians, software developers, and IT professionals seeking current research on the essential tools and technologies for organizing, analyzing, and benefiting from big data.
Brief contents
Section 1 Big Data and the Business Context: Mania vs. Phobia
Chapter 1 Big Data, Who Are You? 1
Chapter 2 What the 3Vs Acronym Didn’t Put Into Perspective? 28
Chapter 3 Big Data Applications in Business 61
Section 2 The Hello World of Big Data Analytics
Chapter 4 First of All, Understand Data Analytics Context and Changes92
Chapter 5 Understanding Data Analytics Is Good but Knowing How to Use It Is Better! 125
Chapter 6 Techniques and Methods That Help to Make Big Data the Simplest Recipe for Success 161
Section 3 Entrepreneur! Welcome to Your Data-Driven Universe
Chapter 7 Entrepreneurship and Big Data 196
Chapter 8 Plan and Rules for Data Analysis Success: A Roadmap 234
Chapter 9 Big Data Analytics in Action: Examples 266
Conclusion 295
About the Author 297
Index 298
Series: Advances in Business Information Systems and Analytics (ABISA)
Pages: 300 pages
Publisher: IGI Global; 1 edition (November 9, 2018)
Language: English
ISBN-10: 1522576096
ISBN-13: 978-1522576099