The art of data-driven decision making

In this episode of The View on Data, hosts Faith McKenna, Paige Berry, and Erica 'Ric' Louie, along with new co-host Jerrie Kenny, explore the intricacies of data-driven decision-making, the importance of data quality, and effective communication of data insights. They discuss the challenges of working with imperfect data, the significance of asking the right questions, and the balance between intuition and data analysis. The conversation also delves into visualization techniques and the importance of tailoring data presentations to different audiences. The episode concludes with valuable advice for data practitioners on navigating their careers and improving their data communication skills. Takeaways Data-driven decisions vary in definition across organizations. Understanding the purpose of data quality is crucial for effective decision-making. Asking the right questions can lead to better data insights. It's important to recognize when data doesn't need to be perfect. Empowering stakeholders to make decisions with available data is key. Experimentation with data can lead to innovative solutions. Effective communication of data requires understanding the audience. Visualizations should tell a clear story and highlight key insights. Data practitioners should not shy away from pushing back on unrealistic expectations. Summarizing data insights effectively is a valuable skill.