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Data Analytics for Business
Foundations and Industry Applications

Inglese · Tascabile

Spedizione di solito entro 1 a 3 settimane

Descrizione

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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.

The first section of the text covers key topics such as data analytics tools, data mining, business intelligence, customer relationship management, and cybersecurity. The chapters then take an industry focus, exploring how data analytics can be used in particular settings to strengthen business decision-making. A range of sectors are examined, including financial services, accounting, marketing, sport, health care, retail, transport, and education. With industry case studies, clear definitions of terminology, and no background knowledge required, this text supports students in gaining a solid understanding of data analytics and its practical applications. PowerPoint slides, a test bank of questions, and an instructor's manual are also provided as online supplements.

This will be a valuable text for undergraduate level courses in data analytics, data mining, business intelligence, and related areas.


Info autore

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.

Riassunto

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.

Dettagli sul prodotto

Autori Fenio Annansingh, Fenio Sesay Annansingh, Joseph Bon Sesay
Editore Taylor & Francis Ltd.
 
Contenuto Libro
Forma del prodotto Tascabile
Data pubblicazione 30.04.2022
Categoria Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
Scienze sociali, diritto, economia > Economia > Tematiche generali, enciclopedie
 
EAN 9780367654191
ISBN 978-0-367-65419-1
Numero di pagine 276
 
Categorie Big Data, Data Mining, Business & Economics / General, Data Warehouse, Text Mining, BUSINESS & ECONOMICS / Decision-Making & Problem Solving, BUSINESS & ECONOMICS / Economics / General, BUSINESS & ECONOMICS / Statistics, Knowledge Management, BUSINESS & ECONOMICS / Management Science, Cloud Computing, computer science, BI, crm system, blockchain technology, Predictive Analytics, Economic statistics, AP, Enterprise Risk Management, business strategy, Accounts Receivable, BDA, Transport industries, Data Discovery, Business Process, Industry, Foundations, Retail sector, Probability & statistics, Production & quality control management, Manufacturing industries, Probability and statistics, Financial services industry, Media, Information & Communication Industries, Hospitality and service industries, COMPUTERS / Data Science / Data Modeling & Design, Sport & leisure industries, Retail and wholesale industries, COMPUTERS / Data Science / General, Econometrics and economic statistics, Production and quality control management, Cognitive Computing, statistical modelling, quantitative analysis, Fan Engagement, transportation network, Big data Platform, undergraduate curriculum, sector case studies, data-driven business decision making, mmm, data analytics tools, customer relationship analytics, OLAP System, Adopting Big Data, CRM Analytic, Mvp Award, Account Payables, annasingh jamieson, sesay
 

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