Fenio Annansingh, Joseph Bon Sesay

Data Analytics for Business (eBook, PDF)

Foundations and Industry Applications

• Format: PDF

Produktbeschreibung

Data analytics underpin our modern data-driven economy. This textbook explains the relevance of data analytics at the firm and industry levels, tracing the evolution and key components of the field and showing how data analytics insights can be leveraged for business results.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 288
• Erscheinungstermin: 20. April 2022
• Englisch
• ISBN-13: 9781000577853
• Artikelnr.: 63778305

Autorenporträt

Fenio Annansingh is currently an Associate Professor at York College, City University of New York, where she teaches Information Systems, Project and Operations Management classes. Her main area of research is Information Systems in two key areas, namely Information Management and Knowledge Management. Her research interest includes knowledge leakage, Information System Risk Management, Smart and Mobile technologies, and Cybersecurity education organisations. Dr. Annansingh has several publications and professional papers with several affiliates.

Joseph Bon Sesay is a Certified Public Accountant (CPA) and a Chartered Global Management Accountant (CGMA). He teaches at York College, City University of New York (CUNY), and has over 20 years of experience in senior and management positions with Multinational Corporations such as Viacom/CBS, Interpublic Group (IPG)/Mediabrands, and Publicis/Mediavest Worldwide. Dr. Sesay holds a doctorate and an MBA in Finance from Pace University, New York City, New York, and Master of Liberal Arts in Extension Studies in Government from Harvard University, Cambridge, Massachusetts.

Inhaltsangabe

1 History and Evolution of Data Analytics 2 Data Mining and Analytics 3
Data Analytics Tools 4 Business Analytics and Intelligence 5 Customer
Relationship Analytics, Cloud Computing, Blockchain, and Cognitive
Computing 6 Cybersecurity and Data Analytics 7 Data Analytics and the
Retail Industry 8 Data Analytics in the Financial Services Industry 9 Data
Analytics in the Sports Industry 10 Data Analytics in the Accounting
Industry 11 Data Analytics in the Medical Industry 12 Data Analytics in the
Manufacturing Industry 13 Data Analytics in the Marketing Industry 14 Data
Analytics in the Transportation Industry 15 Data Analytics in Education