MMGT607: Data-Driven Decision-Making

Data-driven decision-making is collecting data, extracting patterns and facts from that data, and using those facts to guide decisions. Watch this video to explore how data is used to make decisions and the importance of including intuition in the process. Pay attention to the four-step method that guides data-driven decision-making, and think about how the speaker used data to drive decisions that improved his business outcomes.

The four-step method is:

Have a clear objective.
Have a measurable outcome.
Make decisions based on current data.
Validate the outcome.

How does this method help create business opportunities and reveal new business insights?

Source: Ben Curren,

This work is licensed under a Creative Commons Attribution 3.0 License.

Last modified: Tuesday, 23 August 2022, 3:51 PM

© Saylor University 2010-2026 except as otherwise noted. Excluding course final exams, content authored by Saylor University is available under a Creative Commons Attribution 3.0 Unported license. Third-party materials are the copyright of their respective owners and shared under various licenses. See detailed licensing information. Saylor University®, Saylor.org®, and Harnessing Technology to Make Education Free® are trade names of the Constitution Foundation, a 501(c)(3) organization through which our educational activities are conducted.