Decision intelligence refers to the discipline of utilizing a combination of data, analytics, and decision-making processes to optimize decision-making in complex and uncertain business environments. It involves integrating human intelligence with artificial intelligence and other advanced analytical techniques to improve the quality and effectiveness of decisions.

Decision intelligence encompasses a holistic approach that focuses on understanding the decision-making process, identifying decision requirements, collecting relevant data, analyzing and interpreting the data, and generating actionable insights to support decision-makers.

Key components of decision intelligence include:

1. Decision Modeling: Creating models that represent the decision problem, its components, and the relationships between them. These models help in structuring the decision-making process and understanding the impact of different variables and factors.
2. Data Collection and Analysis: Gathering relevant data from various sources and applying analytical techniques to extract insights. This may involve data mining, statistical analysis, machine learning, and other advanced analytics methods.
3. Cognitive Technologies: Leveraging technologies such as artificial intelligence, machine learning, and natural language processing to enhance decision-making processes. These technologies can automate routine tasks, provide recommendations, and assist in complex decision-making scenarios.
4. Visualization and Communication: Presenting data and insights in a visually intuitive manner to aid decision-makers in understanding complex information and making informed choices. Data visualization and storytelling techniques are often employed to convey insights effectively.
5. Decision Support Systems: Implementing software tools and systems that facilitate decision-making by providing real-time data, analytics, and interactive interfaces. These systems enable decision-makers to explore different scenarios, assess risks, and evaluate the potential outcomes of their decisions.
6. Continuous Improvement: Emphasizing an iterative and adaptive approach to decision-making. Decision intelligence promotes learning from past decisions, feedback loops, and incorporating new information to refine decision models and improve decision outcomes over time.

The goal of decision intelligence is to empower organizations and individuals to make better decisions in complex and uncertain environments. It combines human expertise, analytical capabilities, and advanced technologies to optimize decision-making processes, improve outcomes, and drive competitive advantage.