Data virtualization

How can a company quickly find which ad is having the most impact, while eliminating the noise happening around it? Data virtualization and edge analytics enable companies to better understand how to thin big data and process and analyze only the information necessary to the query, saving cost and time.

Brick-and-mortar stores are looking for any competitive advantage they can get over web-based retailers. Data virtualization enables near-instant edge analytics, providing unprecedented insights into consumer behavior. This helps retailers better target merchandise, sales and promotions, and do more to provide exceptional customer experiences.

IoT sensors are creating massive amounts of data. With the growth in the number of sensors collecting data, data volume is set to explode. Moving data analytics to the edge with a data platform that can analyze batch and streaming data speeds up and simplifies analytics, simultaneously — providing insights where and when needed.

Automated manufacturing environments prioritize alarms by augmenting their quality and process techniques with meta-learning or rules. With data virtualization and machine learning methods, manufacturers can increasingly sift through patterns of alarms and convert them into actionable information.

Data virtualization and edge computing can achieve reliable operations for the manufacturing industry. Having near real-time analytics performed at the site where data is being generated can help organizations identify issues promptly and, in so doing, prevent unexpected operational outages and interruptions.