Achieving the speed and scale required of real-time analytics has been a complex and costly endeavour for many engineering teams. In this whitepaper, we discuss the challenges implementing customer-facing analytics in applications including meeting latency requirements, handling constantly changing semi-structured data and managing distributed data systems. We share how the implementation challenges on existing systems limit the return on investment and offer a new, simplified route to real-time analytics. Learn how engineering teams are increasing their ROI with a real-time analytics solution designed for low latency, data flexibility and minimal operations.