SAS Institute Inc  

Streaming data from operations, transactions, sensors and IoT devices is valuable – when it's well-understood. Event stream processing from SAS includes streaming data quality and analytics – and a vast array of SAS and open source machine learning and high-frequency analytics for connecting, deciphering, cleansing and understanding streaming data – in one solution. No matter how fast your data moves, how much data you have, or how many data sources you’re pulling from, it’s all under your control via a single, intuitive interface. You can define patterns and address scenarios from all aspects of your business, giving you the power to stay agile and tackle issues as they arise.  Learn more at www.sas.com/esp.

With SAS Field Quality Analytics, manufacturers can define, priortize and correct issues faster than ever.  Patented analytical models enable organizations to effectively isolate failure modes and identify their root causes so they can make well-informed correction action decisions.  Advanced forecasting and reliabilty techniques (including Weibull) help manufacturers understand how issues will affect costs and customers, so they can prioritize them and focus resources where they will have the greatest impact. 

The solution enables users to merge field performance data with key customer, product, manufacturing, and geographic information for a comprehensive view of field quality. Then apply predictive analytics to identify issues quickly so they can address them proactively before they escalate and irreparably damage brand reputation and the bottom line.   Learn more at www.sas.com/field-quality-analytics.