1. Application of Data Technologies and Tools in Business and Finance SectorsDishant Banga and Alex Khang2. Data Analytics Tools and Applications for Business and Finance SystemsCherri Kallimal Aishwarya, Chava Siri Lahari, and Shaik Himam Saheb3. Big Data Tools for Business and Finance Sectors...

Recent advancements in Enterprise Information Systems (EISs) have transitioned from primarily supporting operational and tactical processes to enabling strategic decision-making through integrated analytics. This systematic review critically examines global literature from 2010 to 2023, focusing...

Organisations have been increasingly adopting decision support and business intelligence (BI). However, there is still considerable academic interest in comprehending the factors that influence the decisions to embrace such technologies. Moreover, the use of BI in developing countries, like...

"This book publishes high quality original research contributions on the specialized theme of advances in business intelligence and associated cybersecurity challenges in diverse business and industrial settings"--

"This book aims to present the strategies, technologies, artificial intelligence and data analytics methods used by enterprises for the data analysis and management of business and healthcare information"--

"Designed with a comprehensive and practical approach, the book's objectives align with addressing the emerging trends and challenges in customer engagement driven by marketing intelligence. It caters to a diverse audience, including marketing professionals, data analysts, business leaders,...

Im Rahmen von Self-Service Business Intelligence (SSBI) sollen Aufgaben zur entscheidungsorientierten Informationsgewinnung aus Daten von Power Usern auf Business User übertragen werden. Damit will man die Entscheidungsgeschwindigkeit, Eigenständigkeit und Flexibilität der Business User...

Possessing an international brand in an exclusive field can play a critical role in developing exports. On the other hand, monitoring market conditions and predicting the changes caused by the physical separation and distance between the upstream and downstream markets and asymmetric information...

Self-service business intelligence and analytics (SSBIA) empowers non-IT users to create reports and analyses independently. SSBIA methods and processes are discussed in the context of an increasing number of application scenarios. However, previous research on SSBIA has made distinctions among...

This research aims at producing a thorough and accurate analysis on how big data as a service and business intelligence capabilities provide a series of opportunities for small and medium enterprises to succeed in E-commerce. The statistical data were drawn from samples of accountants within...

Business intelligence (BI) has become increasingly popular among executives in various industries owing to its potential to facilitate informed decision-making. Nevertheless, its adoption is not well explored in higher education institutions (HEIs), where a large volume of data is generated....

In modern workforce management, the demand for new ways to maximize worker satisfaction, productivity, and security levels is endless. Workforce movement data such as those source data from an access control system can support this ongoing process with subsequent analysis. In this study, a...

Possessing an international brand in an exclusive field can play a critical role in developing exports. On the other hand, monitoring market conditions and predicting the changes caused by the physical separation and distance between the upstream and downstream markets and asymmetric information...

The analysis of the causes or drivers of the adoption of big data analytics and blockchain and their subsequent influence on firm performance has become a significant need as a direct result of the rapidly expanding popularity of business intelligence. The purpose of this research is to present...

Purpose: This study aims to examined the impact of business intelligence (BI) and supply chain ambidexterity (SCA) on operational performance (OP), contributing to dwarf knowledge in small- and medium-sized enterprises (SMEs) in the context of emerging economies. The mediating role of SCA was...

Purpose: This study aims to examined the impact of business intelligence (BI) and supply chain ambidexterity (SCA) on operational performance (OP), contributing to dwarf knowledge in small- and medium-sized enterprises (SMEs) in the context of emerging economies. The mediating role of SCA was...

Planning and reporting solutions in many companies still suffer from poor data quality, are insufficiently integrated and are often time and cost intensive. Step by step, this practice-oriented book shows how things can be done differently. It systematically shows how modern planning and...

1. Introduction -- 2. The role of innovation, digital innovation and Artificial intelligence in business -- 3. Innovation in Annual Report / Corporate Reporting -- 4. The annual report -- 5. News in Financial Reporting -- 6. News in Non-financial measures -- 7. Integrated Reporting -- 8.Conclusion.

Case for change -- Strategic Anchors for BI Strategy -- Tool kit for strategy aligned BI -- From Vision to BI Strategy -- Organizing BI Strategy -- Architecture foundation of BI Strategy -- Now take your next steps.

Rural locations provide limited economic opportunities, mainly relying on agricultural activities, with scarce industrial or commercial investment and employment. This has led to higher risks related to poverty, with a lack of opportunities for education, healthcare, and general services leading...

Rural locations provide limited economic opportunities, mainly relying on agricultural activities, with scarce industrial or commercial investment and employment. This has led to higher risks related to poverty, with a lack of opportunities for education, healthcare, and general services leading...