Data science allows us to create effective solutions because we can optimize one particular metric.  By taking this same approach to goal setting from a personal or professional standpoint, we can maximize the utility of these goals to generate more productivity.

A common misconception is that conclusions we have that are not correct will always be incorrect.  This is not the case!  In this episode, discover the true opposite of "correct", how our human nature impedes our ability to identify truly correct conclusions, and what practical steps we can take to leverage big data to optimize and streamline our decision making.

The question you should always be asking yourself when analyzing data is "What can I do to optimize the likelihood of achieving my goal?" In this episode, we'll focus on how to set that goal, the parameters that must be included, and the lessons we can learn from data science to help us optimize our analytics processes.

We know that biases negatively impact our decision making, so we stay on the lookout for them and offset them accordingly.  Narratives, such as "We are in a bear market", pose challenges to our decision making and go largely unnoticed.  Learn how to recognize narratives and transform them into actionable intelligence that drive profits.

Brian Flores grabbed headlines when he accused the NFL of discriminatory hiring practices.  This is a contraversial topic that is understandably emotional and can impact any and every organization.

The scientific method offers a way to determine objectively whether this is going on in your organization.  Learn about how to set proper evaluation metrics ahead of time, and how you a 2-minute exercise in excel can provide actionable intelligence as to whether change can lead to hiring better talent.

We'll show you how math can provide a conclusive answer, and demonstrate how utilizing the scientific method in your investing decision-making process saves you time and money.