The Support of Decision Processes with Business Intelligence and Analytics

Insights on the Roles of Ambidexterity, Information Processing and Advice

  • Martin Kowalczyk

About this book

Introduction

In his research, Martin Kowalczyk empirically investigates the challenges of designing and establishing successful decision support with Business Intelligence and Analytics (BI&A). The results from his work elucidate organizational and individual perspectives of BI&A support in decision processes. The organizational perspective considers the processual aspects of decision making and addresses process phases, roles and their interactions. The individual perspective reflects upon decision making of human individuals including their cognition and behaviors involved in decision making. The support of managerial decision making with BI&A gains increasing priority for many businesses in their desire to achieve better decision outcomes and improved organizational performance. 

Contents
  • Literature Review on BI&A
  • Big Data and Information Processing in Organizational Decision Processes
  • Collaboration Procedures and Politics in Decision Support 
  • Ambidexterity in the Support of Decision Processes 
  • Analytics Specialization, Information Processing Modes and Decision Quality
Target Groups
  • Lecturers and students of informatics, business informatics, information systems, data science, economics and business administration
  • Executives and practitioners working in the fields of business intelligence, analytics and data science
The Author
Dr. Martin Kowalczyk obtained his doctoral degree at the Chair of Information Systems, Software Business & Information Management at Technische Universität Darmstadt, Germany.

Keywords

Decision Processes Data Science Big Data Decision Making Data Scientist Advisory Ambidexterity Information Processing

Authors and affiliations

  • Martin Kowalczyk
    • 1
  1. 1.DarmstadtGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-658-19230-3
  • Copyright Information Springer Fachmedien Wiesbaden GmbH 2017
  • Publisher Name Springer Vieweg, Wiesbaden
  • eBook Packages Computer Science
  • Print ISBN 978-3-658-19229-7
  • Online ISBN 978-3-658-19230-3
  • About this book