Leveraging Predictive Analytical for Business Value : Theoretical Foundations

Challenges and dilemmas exist on how to maximise the value of Business Intelligence and Analytics (BI&A) in a complex and dynamic organisational environment. The expectation of BI&A is to improve decision making for core business processes that drive business performance. A multi-disciplinary review of theories from the domains of strategic management, technology adoption and economics claim that people, tasks, technology and structures need to be aligned for BI&A to add value to decision making. However, these elements interplay, making it difficult to determine how they are configured. The fit as gestalts approach is adopted to examine the relationships between these elements and also determine how best they can be aligned. This approach will give a comprehensive account and holistic view as to what extent these factors complement each other. This will help identify the ideal combination of factors that will result in BI&A adding value to decision making which in turn results in better organisational performance.