Is Business Intelligence Quietly Working in The Background of Your Favorite Companies?

Big Data is Everywhere

By IGI Global on Mar 1, 2023
person with laptop
Today, we live in a world heavily influenced by big data. The TV shows we watch, social media we follow, news we read, emails we receive — even the optimized routes we take to work — are all dictated by big data analytics. Businesses that are ahead of the curve are now implementing this technology to improve the customer experience. As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company.
The Scopus-indexed book, Integration Challenges for Analytics, Business Intelligence, and Data Mining (ISBN: 9781799857815) published by IGI Global, introduces different models and approaches that must be explored to determine the best method of integration. Companies can predict what a consumer may buy next based on every previous purchase, social media interaction, and search engine query. Besides the need to store this gross amount of data, businesses must be able to make sense of it.
Integration Challenges for Analytics, Business Intelligence, and Data Mining
Profs. Ana Azevedo(CEOS.PP, ISCAP, Polytechnic of Porto, Portugal), Manuel Filipe Santos(Algoritmi Centre, University of Minho, Guimarães, Portugal), et al.
©2021| 250 pgs. | ISBN13: 9781799857815
  • Covers Topics such as Algorithms, Artificial Intelligence, and Business Analytics
  • Ideal for Data Scientists; IT Specialists; Managers; Researchers; Academicians; Practitioners; and Graduate Students.
  • Indexed in SCOPUS
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"We are witnessing a fundamental paradigm shift in the way data is managed and consumed: "...shifting from enterprise-wide single version of truth to multiple truth sets across the enterprise". This shift necessitates fresh, dynamic, disruptive, innovative, purpose-driven change in Data Quality research directions and practices. Are we ready for this shift?
– Prof. Dr. CA. Arun Sundararaman FCA, ACS, Ph.D. (Practice Lead, Health Data and Analytics, Accenture Technology (Cloud First), India)
Chapter 4 of the book, "Big Data Quality for Data Mining in Business Intelligence Applications: Current State and Research Directions” provides an overview of existing research in the area of BDQ definitions and measurement for data mining for BI, analyzes the gaps therein, and provides a direction for future research and practice in this area.

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About the Editor
Professor Ana AzevedoProfessor Ana Azevedo holds a PhD in Information Systems and Technologies from the University of Minho, Portugal. She is an integrated member of the CEOS.PP research center and was member of its Directive Board. She is a senior lecture in the Information Systems Department, School of Business, Polytechnic of Porto, Portugal teaching courses on Analytics, Business Intelligence, Research Methodologies, and E-Commerce, and is member of the Scientific Board of the Master in E-Business. She has published articles in both journals and conference proceedings, and she collaborates in the editorial teams of several journals. She has served as chair for several conferences as well as special sessions in conferences. She has been guest editor for a number of books and special journals issues. She regularly participates as a member of the program committee for conferences and is a regular reviewer for journals and conferences.

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About IGI Global
Founded in 1988 and headquartered in Hershey, Pennsylvania, USA with a subsidiary office (IGI Science and Technology, Ltd.) operating out of Beijing, China, IGI Global is a leading medium-sized independent international academic publisher of scholarly reference sources. They are committed to facilitating the discovery of pioneering scientific research that enhances and expands the body of knowledge available to the research community through traditional and open access publishing workflows. Working in close collaboration with more than 150,000+ expert researchers and professionals from leading institutions, IGI Global publishes quality peer-reviewed content in three major academic subject areas:
Business & Management - Scientific, Technical, & Medical (STM) - Education
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