SAN FRANCISCO, CA — (Marketwired) — 09/23/14 — , a leader in providing next-generation manager of managers (MoM) services for IT operations, announced today that , the leader in applied Big Data solutions for physical retail, is deploying to ensure continuous availability and service quality of its data analytics solutions.
RetailNext is at the forefront of a new generation of successful businesses capitalizing on the intersection of Big Data analytics with the Internet of Things (IoT). RetailNext provides retailers, malls and manufacturers with real-time data on product consumption and shopping behavior to identify opportunities for growth.
“RetailNext is the industry leader in providing in-store analytics to retailers, and the quality and reliability of our software and service is at the heart of our business,” said Harry Manley, head of customer support at RetailNext. “Moogsoft provides our team with a critical enabling technology, helping us scale to meet our business goals while delivering the highest quality service possible.”
RetailNext tracks more than one billion shoppers by collecting data from over 100,000 in-store sensors in 40 countries. The company has over 140 global retail customers and is adding 800 in-store installations per month, a dynamic rate of growth that they recognized would require innovation to manage. Popular retail chains that use RetailNext include American Apparel, Family Dollar, Bloomingdale–s, Brookstone, Pressed Juicery, Verizon Wireless, and Singapore–s Avenue K Mall.
RetailNext is deploying Incident.MOOG across its global operations centers as a next-generation MoM to process event and alert data in real-time across its service delivery domains, including applications, clouds, in-store sensors, and monitors. RetailNext chose Moogsoft over other MoM solutions based on its next-generation technologies and features, including its ability to dynamically accommodate frequent changes to IT architecture with minimal reliance on rules, accurately correlate events and alarms, and manage a mix of technologies including video cameras, IoT sensors, data warehouse, legacy PoS and inventory management systems. Armed with tool providing a single pane of glass to analyze these various streams of data, RetailNext–s customer support team will be able to identify service-affecting situations as they emerge and resolve them quickly and collaboratively.
“RetailNext is a high growth and innovative business with a proactive view on how to scale operations and increase their customers– experience,” said Phil Tee, CEO and co-founder of Moogsoft. “Incident.MOOG is a great match for their needs as the underlying IT infrastructure grows more complex with the addition of thousands of new sensors. We look forward to helping them scale to new levels.”
Incident.MOOG is a next-generation MoM for IT operations management. It improves IT operational efficiency by using adaptive machine learning to detect abnormalities in infrastructure and service behavior in real time, instead of depending on brittle rules and models. It produces contextual narratives of incidents as they unfold, and then creates a dynamic teaming environment for stakeholders to accelerate resolution and knowledge sharing. The result is dramatic and measureable improvement in workflow, detecting emerging problems up to 24 hours faster than existing tools, and reducing actionable trouble tickets by 80 percent or more.
Moogsoft is the leading provider of Collaborative Situation Management for web-scale IT operations, merging adaptive machine learning and socialized workflow to enable customers to obtain greater value from their existing service management resources. Its flagship product, Incident.MOOG, detects anomalies in real time to reveal incidents as they unfold, reduces mean-time-to-repair (MTTR), and enables knowledge capture and reuse through collaborative workflow and “Situation Rooms.” Moogsoft–s founders are the original team behind IBM Tivoli Netcool and RiverSoft. For more information, visit and follow us on Twitter at .
RetailNext measures the behavior of more than one billion shoppers per year by collecting data from more than 100,000 sensors in retail stores and analyzing trillions of data points annually. Headquartered in San Jose, CA, RetailNext is a growing global brand operating in over 40 countries. For more information, please visit .
Sarah McDonough
Trainer Communications
(415) 800-5362
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