The Data Science team of Ninja Media Creations, Railway Audio Out – Of – Home ( RA-OOH ) Media presences in 8 states in India announces the launch of RACE (Remote Architectures Centrally Embedded ) Data Insights (Proof- of-Performance data analysis’s) in RA-OOH platform with an aim to provide a deep understanding of data monitoring. A Web-based application reported being a first-of-its-kind launch in the Indian RA-OOH Media Industry.
RACE (Remote Architectures Centrally Embedded) is developed in-house of Ninja Media Creations Hyderabad Facility. The tool is developed in response to the growing demand by brands who wanted monitoring and quantification of results delivered by an RA OOH campaign,” RACE is based on the combination of Window services and APIs (Application programming interface)and is fed with data received from more than 50 plus stations across 8 states said Raghu, Chief Technology Officer of NMC. This will allow advertisers to have direct control and collect real-time data and provide analytics that reveals the Jingles played on the PA system at each Railway Stations and measure of deep log report by using a web-based application.
Over the last few years, brands were finding it difficult to collect real-time data on time to analyze their log reports such as No of Jingles played at each station, timestamp, No of Spots played in each station, and so on.
Now, with the launch of RACE, Ninja Media has collated and brought together more than 50 Standalone railway stations across 8 states on a single platform. This tool not only uses analytics around the jingles placements and log analysis but also enables to integrate all the standalone PA systems to a centralized web-based application. A unique service id is generated from each standalone server which connects to the central servers and enables the transfer of files without any human interference and change jingle without any delay. Wherein this centralized server will help the uploading, modification of Jingles in all the stations within few minutes, and completely avoids human interference into any of the standalone servers stationed at the railway stations across all the states. This will also help to pull the data from standalone PA Systems and stored which can be viewed or download by the client using a web-based application (Real-Time Data) for each station. This will provide insights and data to them right from the execution of the campaign.
Ranjith Chakkath, MD & CEO, Ninja Media Creations, said, “RACE “ (Remote Architectures Centrally Embedded ) is the outcome of months of hard work of Raghu and Team and is unmatched in its ability to give a real- team log data and insights for RA- OOH campaign, it was but natural that we had to understand the client concerns about the lack of proper log reports and data to measure in the RA-OOH Industry. We know we can’t limit our innovation in this area of Real-time monitoring, that’s why RACE.. Once the movement brands and agencies start using RACE (Remote Architectures Centrally Embedded), a web-based real-time data monitoring and analytics tool; this automation focus will enable clients to get the best out of the RA-OOH medium by using real-time data which process faster and is more efficient.
Srinivasan Iyengar, VP & Mentor, Ninja Media Creations said “The ability to deliver data analysis in real-time, by highly relevant data, represents an enormous leap in the power of the RA-OOH Media. RACE delivers real-time analytics which helps brands and partners to know exactly the performance of the campaign. We are sure that “RACE “ (Remote Architectures Centrally Embedded ) will attract new advertiser and partners to the medium, especially brands who wants to advertise the Jingles based on special campaigns.
Raghu, Chief Technology Officer, said, “Over the last few months, we have worked across 8 states with over 25 key stations to develop “RACE “ (Remote Architectures Centrally Embedded ). The flexibility of RA-OOH will enable some interesting and Variety of Jingles for brand campaigns and will make RA-OOH truly a dynamic medium. We believe that the year 2020 will be a defining year for Real-Time Railway Audio Out- Of – Home.”
