Inpixon, Palo Alto, Calif., announced a technology integration collaboration with SAS, a Cary, N.C.-based provider of advanced analytics software (SAS). The agreement enables SAS to integrate Inpixon Indoor Positioning Analytics (IPA) and metrics into the SAS dashboard and analytics. Inpixon also joins the SAS Internet of Things (IoT) Eco-system Program.
The SAS and Inpixon collaboration will enable indoor positioning data to be combined with myriad additional data sources such as a company's sales history, point-of-sale data, customer loyalty information, along with external sources such as weather and economic data. Once integrated, SAS with Inpixon IPA is expected to deliver omni-channel analytics to help businesses gain predictive insights about customer journey, staffing, inventory and marketing campaign effectiveness.
The Inpixon IPA Platform uses radio frequency sensors to anonymously identify all accessible cellular, Wi-Fi and Bluetooth signals emitted from cell phones and other devices, and processes the information using a data mining engine to enable new information insights and actionable intelligence, such as visitor counts and customer behavior patterns.
SAS analytics helps organizations access, manage, analyze and report on data to power effective decision-making.
"We’ve always known that our software is only as good as the data that our customers use to fuel analytics," says Dan Mitchell, director, SAS global retail and CPG practice. "That is why we put a premium on aligning with quality collaborators like Inpixon. We look forward to offering predictive analytics that incorporate indoor positioning data to solve tough, fast-moving business problems."
"IoT devices generate so much data -- exabytes a day," says Nadir Ali, chief executive officer of Inpixon. "At Inpixon, we believe the keys to success are to acquire as many data sources as possible, to fuse those sources and to apply advanced analytics including AI. When done right, the insights gleaned and the decision-making you can do are game changing. We believe the market's appetite for this kind of data combination will be insatiable."