What does data-driven decision making rely heavily on?

Data-driven decision making fundamentally relies on collecting and analyzing relevant data. This approach emphasizes the systematic gathering of data and the application of analytical techniques to derive insights that inform decisions. The essence of data-driven decision making is the reliance on empirical evidence rather than personal opinions or gut feelings. By utilizing relevant data, organizations can identify patterns, trends, and correlations that can lead to informed choices that enhance performance and outcomes.

The focus on data collection and analysis enables organizations to formulate strategies that are grounded in reality and tailored to specific situations or problems. This method promotes objectivity in the decision-making process, helping teams and leaders mitigate risks associated with cognitive biases and subjective interpretations.

In contrast, the other options either represent inadequate decision-making strategies or emphasize ungrounded approaches that do not rely on data for insight or guidance, making them less effective in achieving successful outcomes in a data-driven landscape.