A Data Management and Analytic Model for Business Intelligence Applications

Most organisations use several Data Management and Business Intelligence solutions which are on-premise and/or cloud-based to manage and analyse their constantly growing business data. Challenges faced by organisations nowadays include but not limited to: growth limitations, big data, inadequate analytics, computing, and data storage capabilities. A data management and analytic model is proposed for organisations to rely on for decisive guidance when planning to procure and implement a unified business intelligence solution. The model which is considered hybrid relies on existing on-premise and cloud models with limitations mitigated. To assess the state of business intelligence utilisation, and validate and improve the proposed architecture, two case studies targeting users and experts were conducted following quantitative and qualitative approaches. The findings further recognised the proposed hybrid architecture as appropriate for managing complex organisations with big data challenges.