Practical Business Analytics

A Framework for Data-Driven Decisions
Erscheinungsjahr 2027
ISBN: 978-3-032-43110-3
Verlag: Springer

Medienkombination, Englisch, 129 Seiten, Format (B × H): 148 mm x 210 mm

Reihe: Business Guides on the Go

This book focuses on leveraging practical business analytics to enhance decision-making in business environments. Through intuitive explanations, LLMs and real-world applications, it guides professionals in utilizing data analytics tools to derive actionable insights and achieve competitive advantage.

This concise book is tailored for business managers, delivering practical, actionable insights that help professionals quickly grasp business analytics without getting lost in complex technical details. It provides interactive support, simplifying the application of analytics techniques to real-world business scenarios.

Readers will particularly benefit from the self-paced online video-based learning modules provided with the innovative Book+Course format.

Find access to the online course inside the book.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Giloni, Avi

Khandelwal, Ashish

Seshadri, Sridhar

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Wirtschaftssektoren & Branchen: Allgemeines
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung

Inhaltsverzeichnis

1. Data Literacy Foundations: From Operations to Data to Decisions.- 2. Regression Analysis in Business Decision-Making.- 3. Understanding and Classifying Business Outcomes.- 4. Clustering and Segmentation.

Über Autor(innen)

Avi Giloni is a professor of operations management and statistics at the Syms School of Business, Yeshiva University, USA. His primary research interests are in information sharing in supply chains and robust regression methods.

Ashish Khandelwal is a teaching assistant professor of analytics at the Gies College of Business, University of Illinois Urbana-Champaign, USA. His primary teaching interests are business analytics and data science.

Sridhar Seshadri is the Alan J and Joyce D Baltz Professor at the Gies College of Business and a Health Innovation Professor at the Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, USA. His primary interests are in global supply chains, the use of AI for decision making, and healthcare operations management.