GrayMatter participated in 2017 Airports Day Event in collaboration with SAP

BANGALORE, India - Dec. 4, 2017 - PRLog -- GrayMatter participated in Airports Day Event in collaboration with SAP. This Airports Day Event was held in Lisbon, Portugal on September 26-27 2017. The purpose of the event is to share knowledge and best practices on digitization at airports. 100+ Senior Airport executives attended this forum to discuss the evolving Business-IT strategy, in the light of digitization at airports.

GrayMatter executives shared information about the Airport Analytics (AA+) solution and its tremendous significance with the increasing demand for data driven business insights. GrayMatter provided the information around best practices on digitization at airports and AA+ which is a pre-built enterprise wide analytics solution for Airport Operators. Airport Analytics (AA+) is a comprehensive solution with in-depth analytics for all areas of airports business by integrating data across 10+ airport systems into a centralized data warehouse.

Mr. Vikas Gupta (CEO, GrayMatter and ACI Asia-Pacific Regional Board Director (WBP) was one of the distinguished speakers for the Airport Day event and delivered his presentation on 27th September, 2017 about digitization at airports. He gave more information on GrayMatter's Airport Analytics (AA+) which drives real-time data driven actions to optimize operational performance. Airport Analytics (AA+) enables business users to do historical data analysis with role based intuitive and insightful dashboards. AA+ provides what-if modeling for revenues, operations, forecasts and so on with its high end statistical models.

GrayMatter's AA+ Airport Analytics (www.airportanalytics.aero) product is a pre-built enterprise wide analytics solution for Airport Operators consisting of in-depth analytics for Operations, Finance, Commercials, Infrastructure, Airline Marketing, Ground Handling, Surveys, Car Parking Revenues, HR, Environment & Safety by integrating data across 10+ airport systems into a centralized data warehouse.