Using Data Analysis to Better Represent Reality – Taylor Murphy

<p><span style="font-weight: 400;">On this episode, Taylor Murphy and I talk about analyzing data and his expertise in data engineering.</span></p> <p><span style="font-weight: 400;">During his career, Taylor has been leading and building data-informed teams.  He describes himself as a scientist, engineer, and data geek who loves pulling data from everywhere to discover meaningful insights hidden in the numbers.</span></p> <p><span style="font-weight: 400;">Taylor explains the different types of data analysis and the questions you need to consider</span> <span style="font-weight: 400;">before</span> <span style="font-weight: 400;">starting any data analysis project.  If you don’t answer these preliminary questions, your results may not have any value.</span></p> <p><span style="font-weight: 400;">Taylor and I also discuss how organizations can best use their data to make smart business decisions.</span></p> <p><span style="font-weight: 400;">I encourage you to listen as Taylor shares valuable tips you can use to grow and strengthen your company.</span></p> <p><span style="font-weight: 400;">“Data analysis allows us to better represent reality.” –</span> <span style= "font-weight: 400;">Taylor Murphy</span></p> <p><strong>Today on the</strong> <strong><em>Tech Leader Talk</em></strong> <strong>podcast:</strong></p> <p><span style="font-weight: 400;">- Questions to ask before starting a data analysis project</span></p> <p><span style="font-weight: 400;">- The impact of data on people’s lives</span></p> <p><span style="font-weight: 400;">- The difference between descriptive analytics and predictive analytics</span></p> <p><span style="font-weight: 400;">- Finding insights in large sets of data</span></p> <p><span style="font-weight: 400;">- Using manual processing prior to automated data processing</span></p> <p> </p> <p><strong>Connect with</strong> <strong>Taylor Murphy</strong><strong>:</strong></p> <p><span style="font-weight: 400;">LinkedIn: </span> <a href= "https://www.linkedin.com/in/tayloramurphy/"><span st