🚩 Most organizations are struggling to succeed with ai data automation and deliver business value.
In fact “85% of AI projects fail.” – as reported by RAND.
Simply because ai data automation machineleaninrg process rules are not levers for success; they're a means to an end. The most critical lever organizations have is their decisions. Decision effectiveness has a whopping 95% correlation with an organization's financial results.
It's not like all of those 85% failed projects didn't have smart people around, didn't know how to train algorithms, and didn't know how to put up an automated solution. And they certainly didn't lack good intentions either.
So what was the missing link?
💡They did not apply the “Decision-Centric Approach”.
Decision is the only link between technology ai data investment and organizations success based on decision effectiveness.
So let's demystify what a decision is…
🔵 Business Decision: It's an attempt, endeavor or pursuit to find an answer to a business question.
🔵 Decision: It's a formal representation of a conclusion from inputs based on business logic, data and analytical models.
🔵 Decisioning: The operational process that derives and executes automated decisions at scale.
🔵 Decision Management: This is the governance and lifecycle management of decisions.
🔵 Decision Intelligence: A discipline that advances decision making by explicitly understanding and engineering how decisions are made, evaluated and improved.
🔵 Open Decision Intelligence Platform: A technology platform that enables organizations to augment and automate decisions.
🔵 Open Decision Intelligence Platform: Is the Open Decision Intelligence Platform (DIP) that is based on Decision-Centric Approach ensuring organizations to not to go down the path of automation blindly. It uses strong decision modeling and execution (Decision Model and Notation with Conformance Level 3) as the foundation of decision modeling and automation. The foundation layers enable organizations to start with business objectives and build complex automated decisioning capabilities that ensures delivering business value.
🔵 Decision-Centric Approach: This is the mythology that brings people, rules, data and process together to enable organizations to make optimized, customer-centric and situation-aware decisions. The Decision-Centric Approach aims to make decision the first-class citizen of organizations to ensure clarity, agility and alignment on outcomes by explicitly modeling, managing and automating decisions. As a result, the outcomes are accurate, consistent and transparent.
➡️ Learn more about the Decision-Centric Approach® https://lnkd.in/gcWUy9eU
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Published February 20th, 2025 at 07:30 am
