What Is Decision Intelligence?
Decision intelligence is a practical discipline used to improve decision making by explicitly understanding and engineering how decisions are made, and outcomes are evaluated, managed and improved by feedback.
~ Gartner Research
Key Focus
Simply collecting and analyzing data without a clear purpose or actionable decision to be made from it is essentially useless to a business and results in wasted time and effort.
The key focus in using data is to inform and drive concrete decisions within and across an organization: using data-driven insights to drive more profitable business outcomes.
Definition
With a decision-centric view of the organization, businesses can automate all aspects of their business — internal and external — to optimally deliver results however they’re measured.
This process and market for developing analytics-informed, optimized, and automated actions is called Decision Intelligence.
“By 2026, 75% of global enterprises will apply decision intelligence… making augmented and automated decision making the next competitive differentiator.”
Erick Breathenoux
Gartner Analyst
Want to Learn More?
To learn more or join the conversation, check out our Decision Intelligence blog posts in the DecideWise Community Portal.
What is Decision Intelligence and Why is It Important?
This DecideWise Community post highlights how the author’s experience at FICO revealed the complex systems behind real-time automated decisions, now transforming many industries.
It also explores how Decision Intelligence platforms, championed by Gartner, use data, AI, and analytics to drive smarter, more agile businesses, a market the author plans to investigate further.
Free to Read
Who are the Companies in Decision Intelligence?
This DecideWise Community post explains how the author is tracking over 300 vendors in the diverse Decision Intelligence market, where integration is tough because no single provider covers all areas like data, analytics, AI, and digital twins.
It notes that while giants like SAS, IBM, and Microsoft play key roles, many smaller vendors are shaping the space, and the author plans to share a vendor database and explore use cases and adoption challenges in future posts.
Free to Read
Decision Intelligence: What about AI?
This community post highlights the pitfalls of generative AI, from hallucinations and failures to operationalize models, to the struggle of large language models in capturing a company’s unique processes.
It suggests reinforcing AI with rules and constraints to boost reliability, introducing DecideWise as a platform to apply decision rules and best practices for safer, more effective AI use.
Free to Read
Join the Community
Want to know how Decision Intelligence products compare among competitors? Interested to learn about Decision Intelligence vendors strengths and weaknesses or market focus? Want to hear from people who have already made purchase decisions? Want to know more about Decision Intelligence use cases?Join data & business professionals worldwide who already rely on DecideWise.
