Introduction Nations make vital decisions concerning requisite policies that can address social problems such as poverty and sicknesses. This decision-making process requires the collection and subsequent analysis of large amounts of data. Relying on human decision makers can delay the process of analyzing data to facilitate decision-making. The cognition of this challenge has compelled many organizations to integrate information management systems into their decision-making processes. This paper discusses the application of information management systems in organizations with a particular focus on the role of the systems in decision-making processes. Information Management Systems Information management systems are essential for ensuring speedy analysis of data to yield useful information. Data refers to raw details that relate to a given phenomenon or issue. Information refers to the systematized facts about a given occurrence or issues. Organizations deploy information to draw conclusions. Information management system constitutes computers and other associated tools that help in data collection and processing to produce information. Data is important in making various strategic decisions for an organization. The process of data assembly, packaging, and breakdown requires the possession of information management tools. Indeed, every organization seeks strategic plans for growth in terms of their size and productivity levels. Growth increases difficulties in terms of handling customers and supply chain complaints due to the large amount of information that requires analysis and synthesis. Different organizations deploy different types of information management systems to handle big data. At medium-sized organizations, common information management systems include decision support systems, transaction processing systems, and the integrated MIS systems (Speiss et al. 3). In general, information management systems can be conceptualized in terms of the MIS systems, expert systems, and transactional processing systems. MIS systems are further divided into various subsets, including executive information management systems and decision support systems. Decision support systems facilitate the making of decisions based on the analysis of data and statistical projections. They comprise application programs that can evaluate an institution’s figures and subsequently deliver them in a manner that makes it possible for operators to make proper conclusions. The systems rely on input data that is necessary for answering queries (Speiss et al. 3). For instance, the systems can facilitate the comparative analysis of sales figures within seven days or even annually. They can also help in making projections for revenues on new sales, whether real or based on forecasts and assumptions. Transaction processing systems avail a means of collecting data, its storage, modification, and/or cancelation of different transactions. This system is perhaps important where big data is deployed in managing organizations’ operational systems that support the business. Decision support systems create an opportunity for improvement of the quality of decisions that are made by organizations’ managers instea