Orchestrating people, processes, and technology separates winners from losers. To apply algorithms to the data deluge, technical professionals need an agile analytics architecture. For those who may not be familiar with analytics and machine learning, this guide provides a high-level understanding of the different types of analytics, answers common questions, and explains typical users and technologies. It includes key considerations for creating an agile machine learning architecture.
Months to develop a real-time system with TIBCO Streaming vs. open source
In electricity consumption via analytic-driven asset utilization
In revenues via price optimization, cross-sell, and fraud detection