China
Africa
Explore chapters and articles related to this topic
Information Technology Ecosystems
Published in James William Martin, Operational Excellence, 2021
The capability to create and improve processes is enabled, in part, because of the explosive growth of sophisticated diagnostic software designed to acquire data across an IT ecosystem and then analyze it using specialized algorithms. Global collaboration tools also allow the exchange of information between teams on projects that span all global supply chain functions. Technological sophistication has evolved through the major IT functions as shown in Table 8.1. These include the business process management suite (BPMS), business process management (BPM), business process modeling and analysis, business intelligence (BI), business activity monitoring (BAM), enterprise application integration (EAI), and workflow management, as well as Internet transactions, e-mail, and standardized enterprise resource planning (ERP) systems. In this chapter, our goal is to discuss these systems, including their tools, methods, and concepts as they apply to the design and management of global supply chains.
Business Intelligence Application through Customer Relationship Management in LIC of India: A Case Study
Published in Deepmala Singh, Anurag Singh, Amizan Omar, S.B. Goyal, Business Intelligence and Human Resource Management, 2023
Almost any business process can benefit from BI, which provides a holistic view and enables teams to look at their own data to find efficiencies and make good daily decisions (Kautish, 2008, Kautish & Thapliyal, 2013). Data investments can help companies accomplish better results thanks to the innovations made in their BI tools (Bagale et al., 2021). Digital transformation has now been deemed a key strategic initiative. Modern BI platforms, which support data access, interactivity, analysis, discovery, sharing, and governance, have arisen in response to the increased demand for the knowledge these platforms make available. This chapter will highlight major companies that have made a BI platform successful through their work with it. Here are five actual, on-the-ground examples of BI platforms in action. BI application tools entail Data Mining, Data Warehouse, Decision Support System, Extract Transformation Loading, Supply Chain Management, Customer Relationship Management (CRM), Business Process Management, Artificial Intelligence, Enterprise Resource Planning, Quality Management System, and Strategic Management (Olszak & Ziemba, 2007; Vercellis, 2009; Arunachalam & Kawalek, 2018). The software’s data warehouses or data marts are enormous, and they use data mining, digging, and other activities to retrieve relevant findings and reports. A wide range of operations encompasses BI, including statistical analysis, querying and reporting, business performance analysis, benchmarking, online analytical processing, decision support systems, forecasting, and predictive analysis. It gives businesses information that is beneficial to business planning, such as information about employees, customers, suppliers, and other business associates, and may therefore be used to help with the decision-making process. CRM is one of the viable and profitable strategic tools (Chalmeta, 2006; Zineldin, 2005), which is used across the industries in general and life insurance in particular. In India, there are 24 life insurance firms, and amongst these, LIC of India is the only public entity and market leader (Siddiqui, 2020; Chandrapal, 2019).
Systems evaluation methodology to attend the digital projects requirements for industry 4.0
Published in International Journal of Computer Integrated Manufacturing, 2020
Luiz Ramos, Eduardo Loures, Fernando Deschamps, André Venâncio
The constant adaptations required by Industry 4.0 have a direct impact on how works with the so-called Enterprise Information Systems (EISs). According to (Rashid and Hossain 2002), EIS can be defined as ‘software systems for business management, encompassing modules supporting functional areas such as planning, manufacturing, sales, marketing, distribution, accounting, financial, human resources management, project management, inventory management, service and maintenance, transportation and e-business’. Among the systems that stand out are Enterprise Resource Planning (ERP), Supply Chain Management (SCM), Manufacturing Execution Systems (MES, Customer Relationship Management (CRM), Product Lifecycle Management (PLM) and Business Intelligence (BI)) (Romero and Vernadat 2016). Following the concept of Cyber Physical Systems (CPS), it becomes paramount the need to integrate them so that they have access to their information in order to the end user has its entire integrated value chain and effective follow-up of the productive process. It is estimated the gaps present in organizations (lack of interoperability, unstructured data, response time short of process needs, loss of relevant information) tend to be minimized with the adaptations of legacy systems to the demands imposed by the Fourth Industrial Revolution. Section 2.3 will provide more details about the topic.