While not leveraging data correctly in the decision-making process can lead to problems, data can also make it more difficult. In a recent 2024 Oracle survey, 74 percent of respondents said the ...

While the OODA loop provides an expository model for agility through data-driven decision-making, there are many additional approaches, like Dave Snowden's Cynefin framework, that also offer a ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Be it customer interaction data, market trends, operational metrics, or financial indicators, effective data-driven decision making begins with establishing a solid data infrastructure.

The way one of the pioneers of data-driven decision making, O'Reilly's Paco Nathan, puts it: "Decision makers are used to making judgments. Any CEO understands statistics at a gut level, because ...

Data Driven Decision-making: ... A data-driven guide to better, ... And then I try to use that data inside some economic framework—one that thinks carefully about costs and benefits—to think ...

A data-driven approach can facilitate decision-making, especially when enhanced by powerful technology like AI. However, finding or creating data suitable for your business is not easy.

A validated framework for decision-making is a reliable construct for healthcare organizations to apply to make informative, data-based and objective facility investments that align with the ...