To overcome these barriers and remove complexity and upfront technology costs, many IT organizations are looking to Analytics as a Service (AaaS) solutions. These offerings help data scientists, developers and business users get their analytics applications up and running quickly, while avoiding the costs and time-drain that comes with building a solution from scratch.