Browsing by Subject "Big data"

Now showing items 1-20 of 29

    • AI in marketing, sales and service : how marketers without a data science degree can use AI, Big data and Bots 

      Gentsch, Peter (Palgrave Macmillan, 2019)
      This book provides an easy-to-understand guide to assessing the value and potential of AI and Algorithmics. It systematically draws together the technologies and methods of AI with clear business scenarios on an entrepreneurial ...

    • An introduction to Data : everything you need to know about AI, Big data and Data science 

      Corea, Francesco (Springer, 2019)
      This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial ...

    • Analytics in a big data world : the essential guide to data science and its applications 

      Baesens, Bart (John Wiley & Sons, Inc., 2014)
      The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics ...

    • Applied big data analytics in operations management 

      Manish, Kumar (IGI Global, 2017)
      Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this ...

    • Big data : a road map for successful digital marketing 

      Singh, Amandeep (editor); Bansal, Rohit (editor); Sharma, Sandhir (editor) (De Gruyter, 2022)
      This book explores recent trends in the use of big data to predict consumer behavior, strategies to engage online customers, integration of big data with other data sources, and its applications in social media analytics, ...

    • Big data : concepts, warehousing, and analytics 

      Santos, Maribel Yasmina; Costa, Carlos (River Publishers, 2020)
      This book addresses models and methods for designing and implementing Big Data Systems to support mixed and complex decision processes, giving special attention to BDWs as a way of efficiently storing and processing batch ...

    • Big data analytics : a hands-on approach 

      Bahga, Arshdeep; Madisetti, Vijay (Arshdeep Bahga & Vijay Madisetti, 2019)
      The book is organized into three main parts, comprising a total of twelve chapters. Part I provides an introduction to big data, applications of big data, and big data science and analytics patterns and architectures. A ...

    • Big data analytics : applications in business and marketing 

      Chaudhary, Kiran; Alam, Mansaf (CRC Press, 2022)
      "Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of ...

    • Big data analytics : digital marketing and decision-making 

      Chaudhary, Kiran (editor); Alam, Mansaf (editor) (CRC Press, 2023)
      "This book includes various topics related to marketing and business analytics. It is written to help organizations increase their profits by making better decisions. This book is meant for students, practitioners, industry ...

    • Big data and innovation in tourism, travel, and hospitality : managerial approaches, techniques, and applications 

      Sigala, Marianna (editor); Rahimi, Roya (editor); Thelwall, Mike (editor) (Springer, 2019)
      This book brings together multi-disciplinary research and practical evidence about the role and exploitation of big data in driving and supporting innovation in tourism. It also provides a consolidated framework and roadmap ...

    • Big data and social media analytics : trending applications 

      Cakırtas, Mehmet (editor); Ozdemir, Mehmet Kemal (Springer, 2021)
      This edited book provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond. It covers efficient compression of large networks, link prediction in hashtag ...

    • Big data for insurance companies. Volume 1 

      Corlosquet-Habart, Marine (editor); Janssen, Jacques (editor) (ISTE; John Wiley & Sons, Inc., 2018)
      This book presents the fundamentals for understanding the concept of big data, including data analysis methods, learning processes, its applications to insurance and its position within the insurance market. Topics ranging ...

    • Big data in finance : opportunities and challenges of financial digitalization 

      Walker, Thomas (editor); Davis, Frederick (editor); Schwartz, Tyler (editor) (Palgrave Macmillan, 2022)
      This edited book explores the unique risks, opportunities, challenges, and societal implications associated with big data developments within the field of finance. While the general use of big data has been the subject of ...

    • Big data in practice : how 45 successful companies used big data analytics to deliver extraordinary results 

      Marr, Bernard (John Wiley & Sons Ltd, 2016)
      "The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, ...

    • Big data science in finance 

      Aldridge, Irene; Avellaneda, Marco (Wiley, 2021)
      "Data Science has overtaken the way the finance and investment is done on Wall Street. All tools and techniques driving decision-making are being revamp with the help of applied mathematics and code" Provided by publisher.

    • Big data, big analytics : emerging business intelligence and analytic trends for today's businesses 

      Minelli, Michael; Chambers, Michele; Dhiraj, Ambiga (John Wiley & Sons, Inc., 2013)
      This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, ...

    • Blockchain, big data and machine learning : trends and applications 

      Kumar, Neeraj (editor); Gayathri, N. (editor); Rahman, Md. Arafatur (editor); Balamurugan, B. (editor) (CRC Press, 2020)
      "Present book covers new paradigms in Blockchain, big data and machine learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data ...

    • Business intelligence and Big data : 7th European Summer School, eBISS 2017 Bruxelles, Belgium, July 2–7, 2017 tutorial lectures 

      Zimányi, Esteban (editor) (Springer, 2018)
      This textbook examines the extent to which moral values play a role as productive forces for the economy, and explores the effect of ethical and unethical Behavior on the economy. It shows how ethics improves productivity ...

    • Business intelligence strategy and big data analytics : a general management perspective 

      Williams, Steve (Elsevier Inc., 2016)
      This book is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve ...

    • Customer accounting : creating value with customer analytics 

      Bonacchi, Massimiliano; Perego, Paolo (Springer, 2019)
      This book is designed to meet the needs of CFOs, accounting and financial professionals interested in leveraging the power of data-driven customer insights in management accounting and financial reporting systems. While ...