For organizations looking to move beyond stale reports, decision intelligence holds promise, giving them the ability to process large amounts of data with a sophisticated mix of tools such as artificial intelligence and machine learning to transform data dashboards and business analytics into more comprehensive decision support platforms.
Successful decision intelligence strategies, however, require an understanding of how organizational decisions are made, as well as a commitment to evaluate outcomes and manage and improve the decision-making process with feedback.
“It’s not a technology,” says Gartner analyst Erick Brethenoux. “It’s a discipline made of many different technologies.”
Decision intelligence is one of the top strategic technology trends for 2022, according to the analyst firm, with more than a third of large organizations expected to be practicing the discipline by 2023.
The trend is brewing at a time when organizations need to make decisions faster than ever — and at a scale not yet seen. Decision intelligence helps provide an automated way to make decisions, which in turn can help companies stay competitive and meet market demands, Brethenoux says.
But that takes a deep understanding of the decision-making process, the risks and rewards of each decision, the acceptable margin of error, and the ability to figure how confident you should be in any decision offered by your automated decision processes.
Here are some tips to help you do all of that.
