💡The #DecisionIntelligence is a practice that combines multiple disciplines from data and computer science, social science, and decision management to enable organizations to understand how business decisions are made, evaluated and improved.

🚫Decision Intelligence turning information into better action
🚫Decision Intelligence combines data analytics, business intelligence (BI), and artificial intelligence (AI)
🚫Decision Intelligence combines AI, machine learning, and data analytics to revolutionize decision-making
🚫Decision Intelligence marrying human expertise with machine learning for more robust business decisions.

✨The Open Decision Intelligence Platform is a technological solution for Decision Intelligence that combines multiple technologies under a unified approach, enabling organizations to manage, automate, and improve business decisions.

But guess what… Business decisions are not #data #machinelearning #businessprocess #businessrules #dasboard, etc.

This may not sound very profound, but business decision is a business decision and nothing else. Hence #DecisionIntelligence starts with the “Decision”, therefore, Open Decision Intelligence Platform must follow the Decision-Centric Approach®.

The Decision-Centric Approach at the core leverages the decision modeling technique to separate “what” from “how” by explicitly designing the business decisions. It uses decomposition technique to model a holistic business decision into hierarchical, multi-step, easier-to-understand decision units.

How does it work?
1️⃣ Decompose a complex business decision into its sub-components (decision units)
2️⃣ Establish the dependencies between these units
3️⃣ Determine the input data and external resources required for each decision unit
4️⃣ Identify and specify the metrics of each decision unit

The above 👆simple 4-step process establishes the “what” and creates a Decision Graph that is a visual representation of a complex business decision.

Now what?

🚀Depending on the nature of each decision unit, such as probabilistic vs. deterministic vs. predictive and so on, you can use multiple techniques and technologies to implement them, such as #machinelearning #businessrules #optimization on-the-fly #dataprocessing.

💣Finally use the orchestration capability to interact with ERPs, CRMs and off-the-shelf solutions in enterprise and reflect back and integrate the decision outcomes to enterprise systems and processes.

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Published July 12th, 2024 at 07:30 am