Smart Cities Need Even Smarter Integrations

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Did you know that CERN’s laboratories contain some of the hottest and coldest temperatures in the universe? They’re credited for building the world’s largest machine (the LHC), proving the existence of antimatter, and inventing the world wide web. CERN even appears in Dan Brown’s novel “Angels and Demons” in which the Illuminati steal the aforementioned antimatter to weaponize it and terrorize the Vatican. What you probably don’t know is that CERN leverages Perspectium to manage many of their data and process integrations in much the same way that a “smart city” would.

CERN operates much like a city with over 15,000 users, many of whom are based at the main campus in Meyrin. Like any municipality, the site requires physical maintenance, security, and monitoring of assets. In order to keep current with daily requirements, CERN contracts several service providers. To ensure that providers continue to deliver on their SLA’s, CERN developed the “Quality Management” approach in ServiceNow. The quality management app uses “Quality Tickets” to monitor the quality of service from providers.

Quality tickets are used in the maintenance of office buildings throughout the organization. CERN must monitor and maintain over 1,000 buildings with 19,000 rooms, each of which has unique cleaning requirements. CERN tracks the performance of cleaning companies by using Perspectium to move data from ServiceNow to an Oracle database for analysis and reporting. This enables close inspection of service quality and assists CERN in clearly stating exactly what services are expected in future contracts.

CERN’s use of Perspectium for quality management could prove applicable to any smart city, county, or state. Predictive analytics represents another exciting, data-driven tool that smart cities are evaluating and considering for application. Perspectium is ideal for facilitating predictive analytics, since in addition to throughput and scalability, it is easily able to optimize data for integration.

Perspectium does this by understanding the data that is being moved, and creating summary metadata that can be analyzed more quickly. Along with the fact that Perspectium doesn’t rely on web services to send data, this results in minimal performance impact while facilitating reporting on data after it is gathered and processed.

The IRS uses predictive analytics to combat ID theft and tax fraud. The City of Chicago uses it to assist inspectors in finding restaurants that are in violation of health code. It is only a matter of time before other cities will implement predictive analytics to address a variety of issues ranging from traffic management to food inspection and the distribution of essential resources. Smart cities will utilize predictive analytics to identify the root cause of a problem, ideally solving it before it even occurs. Perspectium provides the most effective means of moving the data required for predictive analytics between applications and databases/data warehouses.

Smart cities cannot achieve optimal efficiency with data alone. Without the proper vehicle, data will remain stranded in its many respective silos. In order to leverage innovative tools like quality management and predictive analytics, cities require smart integrations to ensure that critical data is always easily recognizable and accessible in the right place, at the right time.

Alex Wetherbe