What does 'data-driven decision making' involve?

Prepare for the ITGSS Certified Advanced Professional: Data Analyst Exam with multiple choice questions and detailed explanations. Boost your skills and ensure success on your exam day!

Data-driven decision making involves using data analysis to guide strategies and operational choices, which is why this answer is correct. This approach ensures that decisions are based on empirical evidence and analytical insights rather than subjective feelings or assumptions. By relying on verifiable data, organizations can identify patterns, measure outcomes, and predict future trends, ultimately leading to better-informed decisions.

In contrast, making decisions based on intuition and experience overlooks the valuable insights that data can provide, which may lead to biases and inaccuracies. Following industry trends without data support relies solely on external observations rather than an objective assessment of relevant data, potentially resulting in misguided strategies. Additionally, relying solely on expert opinions limits the scope of analysis to individual perspectives, missing out on broader data insights that could enhance decision quality. Hence, utilizing data analysis provides a more robust foundation for effective decision making.

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy