In the continuing search for a competitive advantage, the collection and usage of data have become increasingly important to sports organisations, athletes and coaches. Data-driven analysis in sports has historically been focused on sports science pursuits but now, with increasing capabilities due to more advanced data collection in conjunction with the further development of relevant data analytics tools, there is room for further exploration into other aspects of sports, such as gameplay tactics. There is an opportunity to develop user-friendly tools that can translate the volume and variety of data available into actionable insights. This presentation sheds insights into how business intelligence applications, such as Microsoft Power BI, can be used to produce such actionable insights that can help improve team and athlete performance. By utilising AFL gameplay data, examples of actionable insights that can be produced, both pre-match and in-game, will be shown through an example dashboard. Additionally, while business intelligence applications are typically used by sports teams to display the results of descriptive analysis, we highlight their potential to display the results of more complicated statistical analyses and machine learning techniques for predictive analysis. We also discuss the potential of these techniques in helping sports teams optimise gameplay strategy and performance.