Data Science and Analytics for SMEs : Consulting, Tools, Practical Use Cases

by Afolabi Ibukun Tolulope

Chapter 1: Introduction -- Chapter 2: Data for Analytics in Small Businesses -- Chapter 3: Business Analytics Consulting -- Chapter 4: Business Analytics Consulting Phases -- Chapter 5: Descriptive Analytics Tools -- Chapter 6: Predicting Numeric Outcomes -- Chapter 7: Classification Techniques -- Chapter 8: Advanced Descriptive Analytics -- Chapter 9: Case Study Part 1 -- Chapter 10: Case Study Part 2.

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Year of publication:	2022
Authors:	Tolulope, Afolabi Ibukun
Publisher:	2022.: Berkeley, CA : Apress 2022.: Berkeley, CA : Imprint: Apress
Subject:	Data Science \| Business Analytics \| Data Science for Business \| Data Mining \| Consulting \| Small Business \| Business Problems \| Data Analytics \| Rapid Miner \| Business \| Predictive Analytics \| Descriptive Analytics \| KMU \| SME \| Data mining \| Unternehmensberatung \| Consultancy services \| Unternehmensanalyse \| Business analysis \| Big Data \| Big data \| Data analytics \| Informationsmanagement \| Information management \| Künstliche Intelligenz \| Artificial intelligence \| Betriebliches Informationssystem \| Business intelligence system \| Statistische Methode \| Statistical method

Extent:	1 Online-Ressource (XVII, 335 p. 213 illus.)
Series:	Springer eBook Collection
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-1-4842-8670-8 ; 978-1-4842-8669-2 ; 978-1-4842-8671-5
Other identifiers:	10.1007/978-1-4842-8670-8 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10013386108