<p>TheΒ twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perh
Business Intelligence and Big Data: Drivers of Organizational Success
β Scribed by Celina M. Olszak
- Publisher
- Auerbach Publications
- Year
- 2020
- Tongue
- English
- Leaves
- 194
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
TheΒ twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported?
Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization.
The book discusses business intelligence (BI) and Big Data (BD) issues in the context of modern management paradigms and organizational success. It presents a theoretically and empirically grounded investigation into BI and BD application in organizations and examines such issues as:
- Analysis and interpretation of the essence of BI and BD
- Decision support
- Potential areas of BI and BD utilization in organizations
- Factors determining success with using BI and BD
- The role of BI and BD in value creation for organizations
- Identifying barriers and constraints related to BI and BD design and implementation
The book presents arguments and evidence confirming that BI and BD may be a trigger for making more effective decisions, improving business processes and business performance, and creating new business. The book proposes a comprehensive framework on how to design and use BI and BD to provide organizational success.
π SIMILAR VOLUMES
<p><p>This book constitutes revised tutorial lectures of the 7th European Business Intelligence and Big Data Summer School, eBISS 2017, held in Bruxelles, Belgium, in July 2017. <br> The tutorials were given by renowned experts and covered advanced aspects of business intelligence and big data. This
<P>There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and appli
Content: <br>Chapter 1 What Is Big Data and Why Is It Important? (pages 1β18): <br>Chapter 2 Industry Examples of Big Data (pages 19β59): <br>Chapter 3 Big Data Technology (pages 61β88): <br>Chapter 4 Information Management (pages 89β98): <br>Chapter 5 Business Analytics (pages 99β125): <br>Chapter
<p><b>Unique prospective on the big data analytics phenomenon for both business and IT professionals</b></p><p>The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of t
Co-published with AIR. Co-published with ACE. In this era of "Big Data," institutions of higher education are challenged to make the most of the information they have to improve student learning outcomes, close equity gaps, keep costs down, and address the economic needs of the communities they serv