Data driven companies are increasingly trying to analyze their data in real time. While they focus on what data sources they find most important, we can come in and eliminate the heavy lifting in trying to get their data wrangled, transformed, and loaded for reliable analytics. If an e-commerce site is focused on dynamic pricing and user retention and churn, we can come in and provide solutions in big data analytics and insights that will help them to implement ad hoc changes to their pricing, UX/UI design and ratings. It'll be a solution that's leveraging big data platforms (e.g. Spark) to generate metrics based on the filtering and real time scoring for monitoring user behavior. If prices tend to fluctuate on a regular basis scheduling a data scraping application can lead to better predictions in product forecasting. All of these strategies can be easily extended to other applications from Fintech to IOT apps. The final solution for the real time analysis can be developed further into a dashboard (e.g AWS Quicksight) with graphical visualizations and business insights on a variety of platforms.