Decision intelligence is a discipline that applies data science, artificial intelligence and analytics to understand and improve the decision-making process.
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What is Decision Intelligence?
Decision intelligence is a discipline that applies data science, artificial intelligence and analytics to understand and improve the decision-making process. The idea is to shift from human-based decisions with HITL intelligent machines, to improve the decision quality.
The market size is expected to increase at CAGR of 16.9% from USD 19.38 billion in 2025 to USD 57.75 billion by 2032. Let’s dig a bit deeper.
Decision Intelligence Framework
Difference between Decision Intelligence and Artificial Intelligence?
Basis
Artificial Intelligence
Decision Intelligence
Goals
To create intelligent systems that behave and think like people.
Decision Intelligence (DI) advances Artificial Intelligence (AI) to enhance decision-making.
Strength
It recognizes patterns, solves issues, comprehends language, gains knowledge from experiences, and can make decisions.
It uses AI tools like data ingestion, entity resolution, and graph building to create a strong foundation of clean, connected data.
Results
It generates task automation and intelligent behavior.
Faster decision-making, better productivity and bottom line savings.
Key Pillars of Decision Intelligence are:
A trusted data foundation layer: With a trusted data foundation layer, you can ensure that all the insights are data-backed and with the right governance. Be it improving customer experience or increasing the bottom line – data is crucial.
Contextual analytics: Contextual analytics in a decision intelligence helps in understanding the data with its context by monitoring the relationship patterns, and outside variables that help in finding the correlation, predicting the results, and gives comprehensive insights for better decision making.
Automated and augmented decisions: With some systems and automation in place, you can augment decisions with ease. Example, by augmenting agentic systems you can bring faster insights to your existing apps and automate the next steps.
Transformational results: It helps businesses to connect all data and helps in establishing relevant perspectives, it also monitors all data relationships and develop more effective models. It also helps in finding mistakes and opportunities for the organisation.
What are the Decision Intelligence Platforms used for?
Customer-facing teams: Every salesperson, relationship manager, and customer service agent uses these data-driven insights to improve customer satisfaction, engage with customers promptly, and generate new business.
Financial crime detection and prevention: To identify and stop fraudulent activity, financial crime and fraud analysts and investigators gain from a comprehensive and well-connected perspective of risky behavior.
Business decision makers: They make predictions, comprehend trends, and bolster important choices with insights.
Data scientists and data engineers: They can truly make a difference for their enterprise by using a decision intelligence platform to run accurate and trustworthy analytics.
5 Benefits of Decision Intelligence (DI) for an organization?
5 Benefits of Decision Intelligence
Decision Intelligence (DI) offers benefits like:
intelligent insights from structured and unstructured data,
quick insights with a 360-degree perspective
AI-powered forecasting for better choices
integrated decision making through ML and AI,
and real-time data-driven actions
All this leading to faster, more accurate decisions, improved efficiency, reduced costs, and enhanced risk management.
