Once you have defined your goals and data sources, you can start evaluating the features and benefits of different retail data analytics software. Dashboard and reports should be easy to access and visualize, with the ability to customize them to suit your needs. Data integration and security must be considered, as the software should integrate well with existing systems and comply with data privacy regulations. Furthermore, data analysis and modeling capabilities should be advanced and flexible, enabling you to perform descriptive, predictive, and prescriptive analytics, as well as create and test different scenarios and hypotheses. Lastly, the insights and recommendations generated by the software should be actionable and relevant, allowing for easy automation or implementation.