You're a retail employee looking to improve your data-driven decision making. What's the best way to start?

3 Analyze and interpret data

After you collect the data, you need to analyze and interpret it to gain insights and answer your questions. You can use various tools and techniques to do this, such as spreadsheets, charts, dashboards, reports, and statistical methods. You need to look for patterns, trends, correlations, and outliers in the data. You also need to apply critical thinking and logic to avoid biases and errors in your analysis. You should ask yourself what the data means, what it implies, and what it does not tell you.

4 Act on data

The final step is to use the data to make decisions and take actions that support your goals. You need to communicate your findings and recommendations to your manager and your team. You need to explain the data clearly and convincingly, using visual aids and storytelling techniques. You also need to monitor and measure the impact of your actions on your KPIs and goals. You should track your progress and results, and adjust your strategy as needed.

5 Learn and improve

DDDM is not a one-time activity, but a continuous cycle of learning and improvement. You need to keep updating your data, analyzing your performance, and testing new ideas. You also need to seek feedback and guidance from your manager and your peers. You need to be curious, flexible, and open-minded. You should always look for ways to enhance your data skills and knowledge.

DDDM can help you become a more effective and valuable retail employee. By following these steps, you can start using data to make better decisions and achieve your goals.

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?