Data is moving to the cloud. And as cloud applications are adopted, it means that many critical sources of data for analytics now, or soon will, live in the cloud. In fact, nearly nine in 10 participants in our research (89%) reported that they plan to use cloud-based analytics deployments, and the overwhelming majority of organizations (86%) expect that most of their data will eventually be in the cloud. But, as organizations look to embed analytics and reporting into their applications, they face many hurdles including high infrastructure costs, lack of domain-specific expertise and roadblocks that appear when scaling.
Topics: embedded analytics, Analytics, Business Intelligence, natural language processing, AI and Machine Learning, Streaming Analytics