The speed at which decision support systems (DSS) are evolving, it is pretty clear that they are going to help companies in strategic or unstructured decision-making. The next-gen smart DSS will be more capable of helping decision makers in making strategic decisions that affect the bottom line of a business in long run. More companies are relying on data to help them identify challenges, capitalise on opportunities and make timely decisions that could affect their bottom line. Peoples' Choice Bank is no exception. Management at Peoples' Choice Bank have recently decided to implement a data-driven decision support system. It relies on data mining to provide patterns and information about the data being assessed. The bank could rely on data-driven decision support systems to make decisions about their services and products. Managers might find data-driven decision support systems most helpful when analysing current and historical data to report on the conditions of a department or the business. CEOs, managers and staff might use a data-driven DSS. In your role as the DSS analyst, your task is to report on various aspects of the new data-driven DSS.

Question 4 (25 Marks) Decision support systems have been incorporated into businesses to support human intelligence for years. However, these systems are not perfect. Discuss any FIVE (5) possible limitations of the decision support system in Peoples' Choice Bank.