Today’s data-driven business environment necessitates the adoption of business intelligence and analytics (BI &A) platforms for companies that want to remain competitive or even survive in the global market. On the other hand, as the volume and …

Artificial intelligence (AI), big data, and business analytics are the most commonly used and complete common sense cognitive tools in the ecospheres today, and they have garnered a lot of attention for their ability to influence organizational …

Adopting the dynamic capabilities (DC) perspective, this study proposes a model to assess the impact of organizational capabilities on business analytics (BA) use and addresses the moderating role played by environmental dynamism (ED). Based on …

The papers focus on topics related to data science and data centers, machine learning, sustainable technologies for a green economy, metaverse in the healthcare education, Predictive Model Analytics using Data mining and Machine learning, blockchain adoption and acceptance, Narrow Band Internet of Things, and enhanced Bubble Sorting Visualizer.

Some study has been done on the topic of business analytics, but not nearly enough has been done to build and communicate a general knowledge of the relationship between analytics and performance. This research presents a comprehensive framework …

This two-volume set constitutes the refereed proceedings of the 5th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2023, held in Kalyani, India, during January 27–28, 2023. The 52 full papers …

This two-volume set constitutes the refereed proceedings of the 5th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2023, held in Kalyani, India, during January 27–28, 2023. The 52 full papers …

Introduction: Video analytics has become an important tool for improving business performance, personnel management, and security in different environments, including shopping centres. However, its use also poses a threat to users’ privacy. Aim: …

The primary path to success, is to use software designed to sample and analyze cashflow and then link that analysis, with forecasting and market research. The case study will start with a small business income statement indicating a cashflow …

Businesses constantly strive to build organizational capacity to use data strategically. As a result, there is a growing demand for business analytics professionals. While higher education systems worldwide have been adapting to build …

The application of data analytics in management has become a crucial success factor for the modern enterprise. To apply analytical models, appropriately prepared data must be available. Preparing this data can be cumbersome, time-consuming, and …

The Enterprise Resource Planning (ERP) system is one of the key tools used for data extraction for the purpose of meeting the managerial accounting requirements. Due to globalization and competition in the market, the financial and non-financial …

Meaningful insights are the most important outcome of a big data analytics project (BDA). As the BDA project has been widely used to facilitate business decisions, many organizations focus on gaining valuable insights into their business …

This paper describes some of the typical mistakes in web analytics in various organizations. It identifies the most common errors in Google Analytics accounts. We have also compiled a list of best practices for using Google Analytics by online …

We present a framework for integrating academic programs and students’ preparation for the job market. A graduate program’s curricula, especially in data and business analytics, should prepare students for landing their dream job and prepare them …

This book focuses on three core knowledge requirements for effective and thorough data analysis for solving business problems. These are a foundational understanding of: 1. statistical, econometric, and machine learning techniques; 2. data …

In recent years, ontologies have become the leading solution for capturing corporate knowledge. Stored explicitly in documentation or tacitly in the minds of Subject Matter Experts (SMEs), enterprise knowledge, in all its forms, can be optimized …

Despite the overwhelming popularity of business analytics (BA) as an evidence-based decision support mechanism, the impact of its adoption on organizational performance has received scant attention from the research community. This study aims to …