Cloud-based solution provider Dexda announced in a press release that it has partnered with Cubic Transportation Systems (CTS) to automate the companies predictive fault management and improve its service delivery.
Dexda wrote in the press release that the fare collection solution provider will use its services to optimise the event monitoring and incident management capabilities supporting OMNY, a new fare payment system developed for the New York Mass Transit Authority (MTA) and Transport for London (TfL).
Charles Burnham, Chief Technology Officer at Dexda commented on what CTS can expect by working with the company by saying: “Dexda provides Cubic’s managers with the predictive insight needed to track event, service and maintenance issues, optimise fault management and prioritise engineering resources.”
Incident intelligence is becoming an aspect that businesses operating in the public sectors are paying attention to due to the potential benefits it can have on public safety while reducing costs in both time and money.
Adrian Timberlake wrote in his article ‘using new technologies and data to combat knife crime‘ how data and technologies such as machine learning can be used to improve public safety and save costs for local and national public sector services.
Cubic offers three core solutions to enable enhanced communications and better user experiences with a number of different services under each solution for its customers in public services.
The cloud-based solution provider explained that CTS needed to be able to identify any issues disrupting the payment process and customer experience for its new fare payment system while ensuring that the duration of any incidents was as short as possible to meet its contractual obligations to provide a high level of service to both transport authorities.
Dexda claims to be pioneers in providing data science-as-a-service to its clients and noted that it was because of its experience it has enabled CTS to optimise its tools landscape by removing duplicate solutions and simplifying the end-to-end event management process.
The cloud-based solution provider has stated that due to the solutions it has put in place it has enabled CTS to reduce the time it took to deliver new and innovative monitoring solutions to its customers while enabling the business to examine thousands of events every second from multiple data sources generated by the Internet of Things (IoT) devices.
Burnham added how businesses utilising capabilities such as machine learning that Dexda provides is vital for its operations by saying: “Using machine learning to model and proactively manage operational issues before they impact service delivery is vital for asset-intensive industries. Organisations that can make sense of the vast pools of operational data already and turn it into actionable insights will be able to automate fault management and improve their ‘always on’ service delivery.”
Dexda’s intelligent software works by carrying out three processes with data which include data enrichment, event processing, and aggregation alerts which in this case has apparently given Cubic access to gain a better understating of its operational status and giving the business the opportunity to react faster to potential issues.
The cloud-based solution provider claimed that by CTS utilising the vast amounts of data collected from its ticketing systems it has enabled the fare collection solution provider to improve its ability to make robust evidence-led engineering and service decisions.
