Computer-Aided Software Engineering (CASE) Tool for Big Data and IoT Architecture

Building a new Business Intelligence (BI) architectures for big data and Internet of Things (IoT) is a complex task. It aims to satisfy the needs of decision makers by taking into consideration several constraints and requirements (volume, velocity, and variety). This can influence the decision of choosing the most appropriate tools, techniques, and technologies in the data flow management for IoT solutions. With the aim of helping the decision makers to control their analytical needs and to achieve the business goals, we propose a Computer-Aided Software Engineering (CASE) tool that supports the design of BI for IoT architecture (BIIoT) based on knowledge. It recommends existing technologies which fit well with the scalability of the business requirements and verifies the data flow in the proposed architecture. Thus, the BIIoT tool is validated through a use case related to agriculture service provisioning.