Streaming analytics help shape and sense the awareness of big data in the dynamic and constant change of contextual data that is accumulated over time (real-time, historical, or combined). This awareness creates new opportunities for organizations to leverage insights for data story-telling and informed decision-making, and new ways infuse analytics everywhere.
In 2012, we launched ZPoints® algorithm to measure the unit of attention based on the context of search and it has now been integrated into multiple solutions across sports and entertainment, hospitality, food and beverage, law enforcement, to gain insights of open data in real-time.
At MetroStar, we help our clients, and their respective organizations, construct context from real-time and historical data by applying transaction-level logic to real-time observations that streamline and enrich data. Contact us if you need to implement a strategy for data and context that requires data to be truly real-time.