Outlier.ai, a recognised Representative Vendor in Gartner’s “Market Guide for Augmented Analytics Tools,” expands data analytics reach with SAP HANA integration. The integration was announced together with the launch of two other new analysis types in the company’s automated business solutions and analysis platform.
Based in California, U.S.A., Outlier offers high-level analytics and business solutions for global consumer, financial services, and pharmaceutical organisations through its automated business analysis platform that uses advanced artificial intelligence (AI) and machine learning algorithms. The AI platform—designed to collect and monitor critical business data that are undetectable to human analysis—can be integrated with an organisation’s existing data and workflow sources such as:
- Google Analytics
- Google BigQuery
- Apache Druid
- Microsoft SQL Server
- Amazon Redshift
Now, Outlier adds leading in-memory database management system SAP HANA to this extensive list, allowing SAP customers to gather business insights quickly, identify potential opportunities, and address any unexpected data behaviors. The announcement was made together with the launch of two additional solutions on the automated business analysis platform:
- The Time of Day Story – provides insights on critical changes as they occurred throughout a day, for example, which hours of the day saw a rapid increase in customer engagement.
- Geospatial Analysis – provides critical analysis on geographic business activity by automatically analyzing latitude and longitude as part of large datasets.
Outlier’s CEO Sean Byrnes explains how these new enhancements came about through customer feedback,
“Outlier customers have found our product to be transformational in how they understand and run their business and this partnership with our customers lead to requests for new updates regularly. All of these new enhancements come directly from customer requests and build on our platform to help customers discover the unknown automatically, with minimal effort and no need for complex data analysis.”
Automated Business Analysis for Workforce Efficiency Solutions
Two SAP customers in the consumer packaged goods (CPG) industry recently found success with Outlier’s SAP HANA integration—a leading CPG American dessert brand and a CPG food company that ships perishable food products. Both companies were able to identify employee performance and operational improvements by measuring workforce efficiency. This enabled both organisations to significantly increase productivity and drive overall output and sales.
With thousands of employees in the warehouse, the CPG companies were having difficulties gathering crucial data to help them identify employee performance gaps and improve workforce productivity and efficiency. By quickly integrating their data from SAP HANA to Outlier’s automated business analysis platform, the companies were able to understand the key day-over-day performance changes and elements affecting productivity among their warehouse employees.
Through “proactive” insights gained from Outlier’s Root Cause Analysis and rank change analysis features, the SAP customers were able to quickly implement solutions and develop best practices to reach peak efficiency. Additionally, these insights helped the CPG companies identify the most productive workers who merit praise and reward, thereby increasing morale and employee engagement.
Outlier.ai was founded by Mike Kim and Sean Byrnes in 2015. Its automated business analysis platform entered beta in 2016, becoming public in 2017. The firm is located in Oakland, California, U.S.A.
The company—recognized for data analytics leadership and innovation by Strata Data Conference—has received a total of over $30 million funding from various investors including Susa Ventures, Homebrew, First Round Capital, Ridge Ventures, Capital One Growth, and most recently, Emergence.