Year: 2022
Type: Book
Title: Business Analytics
Author: Cvetkoska, Violeta
Abstract: The book is structured into five parts: Part I: Business analytics introduction (Chapters: 1-2) The first chapter explains the reality of big data and how companies can use business analytics to create value (increased profits, customer satisfaction, employees, efficiency, reduced costs, complaints, etc.). The second chapter focuses on manipulating data by applying spreadsheet analytics. Part II: Descriptive analytics (Chapters 3-5) Chapters 3-5 constitute the first pillar of business analytics, descriptive analytics, and refer to descriptive statistics, data exploration using pivot tables, and the central part of business analytics, represented in all its pillars (descriptive, diagnostic, predictive, and descriptive analytics), data visualization (DataViz). Part III: Diagnostic analytics (Chapters: 6-8) The third part refers to the second pillar of business analytics, diagnostic analytics, and contains three chapters (Chapters 6-8) to deal with the methods and tools used for correlation analysis, identify outliers, and what the role of drill-down analysis is. Part IV: Predictive analytics (Chapters 9-11) Chapters 9-11 refer to the third business analytics pillar, predictive analytics, and cover methods, techniques, and tools for forecasting, regression analysis, and data mining with a focus on logistic regression. Part V: Prescriptive analytics (Chapters 12-14) Chapters 12-14 comprise the fourth pillar of business analytics, prescriptive analytics, and focus on methods, techniques, and tools for decision analysis, optimization methods, and the multi-criteria decision method, AHP.
Publisher: Stobi Trejd DOOEL
Relation:
Identifier: oai:repository.ukim.mk:20.500.12188/26163
Identifier: Cvetkoska, V. (2022). Business Analytics, 1st. ed., Skopje: Stobi Trejd DOOEL.
Identifier: http://hdl.handle.net/20.500.12188/26163
