Organizational Intelligence (OI) is the capability of an organization to comprehend and conclude knowledge relevant to its business purpose. In other words, it is the intellectual capacity of the entire organizations. With relevant organizational intelligence comes great potential value for companies and therefore organizations find study where their strengths and weaknesses lie in responding to change and complexity. Organizational Intelligence embraces both knowledge management and organizational learning, as it is the application of knowledge management concepts to a business environment, additionally including learning mechanisms, comprehension models and business value network models, such as the balanced scorecard concept. Organizational Intelligence consists of the ability to make sense of complex situations and act effectively, to interpret and act upon relevant events and signals in the environment. It also includes the ability to develop, share and use knowledge relevant to its business purpose as well as the ability to reflect and learn from experience
While organizations in the past have been viewed as compilations of tasks, products, employees, profit centers and processes, today they are seen as intelligent systems that are designed to manage knowledge. Scholars have shown that organizations engage in learning processes using tacit forms of intuitive knowledge, hard data stored in computer networks and information gleaned from the environment, all of which are used to make sensible decisions. Because this complex process involves large numbers of people interacting with diverse information systems, organizational intelligence is more than the aggregate intelligence of organizational members; it is the intelligence of the organization itself as a larger system.
Organizational Intelligence and operational intelligence are usually seen as subsets of business analytics, since both are types of know-how that have the goal of improving business performance across the enterprise. Operational Intelligence is often linked to or compared with real-time business intelligence (BI) since both deliver visibility and insight into business operations. Operational Intelligence differs from BI in being primarily activity-centric, whereas BI is primarily data-centric and relies on a database (or Hadoop cluster) as well as after-the-fact and report-based approaches to identifying patterns in data. By definition, Operational Intelligence works in real-time and transforms unstructured data streams—from log file, sensor, network and service data—into real-time, actionable intelligence.