If Your Business Decision-Making Process Is Not Formalized
and Data Driven, You’re Just Guessing

Business decision-making processes and approaches vary widely. An increasing number of organizations strive to identify critical business decisions to make and then use data-driven approaches to inform their options and support their final choices. Others apply a process that begins with the data, using data-driven analysis to identify important business decisions to influence or optimize. Many organizations apply both techniques, depending on the situation.

However, few organizations have enough formality and structure in how they perform business decision making, regardless of the approach. Lack of formality and structure leads to inconsistencies, sub-optimal decisions, and a frequent inability to justify, support, validate, and learn from how critical business decisions are determined.

Organizations and business functions that apply structured and formal approaches to business decision making tend to report higher levels of success. The rigor of their approaches allows them to arrive at suitable decisions more often and with higher degrees of confidence than organizations that do not apply any decision-making methodology. Making business decisions data driven and doing so via a structured approach yields significant positive results.

Data leaders and their teams can help move the organization toward a state of Hyper-Decisive® decision making by working with key executives and constituents to identify scenarios in which improvements in business decision making can drive substantial value. By introducing changes in both process (decision first or data first) and approach (generally, increasing the level of focus on data to drive business decisions), they can show immediate benefits in the form of more optimal and repeatable decision making.

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