Leveraging Business Intelligence to Build Meta-knowledge

Over the years, many organizations have implemented business intelligence (BI) systems as an initiative towards dynamically creating and managing information that enables real-time responses to business and process variations using focused analytical assessments. This study captures the essence of BI practices that are most responsible for optimizing organizational performance by applying analytic processes and transforming enterprise-wide system data into knowledge for decision making. Findings reveal that although organizations have been able to improve processes and rationalize the business value chain using BI, these firms often lack clarity in evaluating needs and identifying the context of information critical to their success. Companies are now extending capabilities via knowledge-based processes to simulate business scenarios and align key performance metrics with critical functions, to build meta-knowledge from data extracts using BI tools.