and tactical processes to enabling strategic decision-making through integrated analytics. This systematic review … the effective adoption and utilization of advanced analytics. The results highlight a distinct need for improved … understanding and implementation strategies for integrated analytics within EISs to enhance strategic decision-making processes …

-driven model to detect shell companies that are being used for money laundering. We use a hybrid approach combining graph analytics …

become more pervasive, many businesses in the manufacturing sector have begun to tap into the potential of big data analytics … strategically utilizing big data analytics to uncover profound insights that have the potential to significantly enhance their … capabilities in product innovation. This research delves into communication's role as a go-between for big data analytics and …

1. Einführung -- 1.1 Einführungsbeispiel: Auf der Suche nach der Weltformel -- 1.2 Data Analytics als Teil des … "Knowledge Discovery Process Model" -- 1.3 Abgrenzung von Begriffen (Data Analytics, Business Analytics, Data Mining, Big Data …, Artificial Intelligence, Descriptive Analytics, Diagnostic Analytics, Predictive Analytics und Prescriptive Analytics, Supervised …

productivity by interrupting workflows and delaying deliveries. However, few studies have combined end-to-end data analytics and … comprehensive framework combining data analytics and data mining to prevent machine failures and support decision-making in a metal …-mechanical manufacturing environment. Methods: First, exploratory data analytics were performed on the sensor and logistics data to identify …

This study attempts to obtain an understanding of the impact of adopting big data and data analytics (BD&A) on various …, IT/IS auditors, and data analytics specialists working for audit firms with different sizes in Egypt. Responses from 205 …

and tactical processes to enabling strategic decision-making through integrated analytics. This systematic review … the effective adoption and utilization of advanced analytics. The results highlight a distinct need for improved … understanding and implementation strategies for integrated analytics within EISs to enhance strategic decision-making processes …

Purpose Today, companies are struggling to develop their human resources analytics (HRA) capability, although interest … experience in analytics, in a process spanning eight main phases that involves literature reviews and knowledge creation … discrete stages of maturity that go beyond traditional analytics sophistication. Lastly, the interdependency matrix reveals …