As demonstrated, Atlas is a powerful data centralization platform that offers significant advantages for telecommunications providers with their operations. Specifically, some benefits of using the Atlas software on a day-to-day basis for centralizing data collected by the RTUs in the field include:

• Increased operational efficiency: With Atlas’ network view and dashboards, users can access at a glance their most critical information. The data centralization offered by Atlas provides a means for users to plan maintenance activities more effectively, eliminating the need to log into multiple RTUs and smart devices to prioritize their maintenance tasks.

Example: An operator wants to determine which generators in their network have fuel levels below 50% to assess which sites are at risk of a service interruption in case of a power outage. In this scenario, users can use dynamic tables provided in Atlas’ network view and dashboards to quickly determine the fuel levels from all the generator in the networks. Had the operators not used Atlas for this matter, they would have had to log into every individual RTU in the network to determine the fuel levels from the generators. Hence, Atlas provides a means to significatively accelerate the planning process and allows to manage the network in a proactive manner.

• Increased Equipment Uptime: The user-configurable statuses in Atlas clearly highlight abnormal conditions at a site. Combined with instant notifications, this functionality helps to reduce unforeseen service interruptions.

Example: A major storm causes a power outage in five different sites. Users are quickly notified of this situation by the Atlas software via email. Using the Atlas interface, users can determine in which of these sites a generator is present for back-up power supply in a matter of seconds. They can also quickly assess the remaining runtime of the generators as well as the battery reserve time in those sites using Atlas’ custom network views. In this manner, Atlas assists users in planning the appropriate corrective measures efficiently, thus minimizing the risk of a service interruption.

• Reliable and accurate budgets: Atlas is a powerful database and can store information about all equipment present within a network. By tracking the equipment’s targeted maintenance and replacement dates, Atlas helps in creating budgets more swiftly and accurately. Budget processes are also facilitated using lifecycle reports which are easily exportable from the Atlas interface.

Example: At a given telecommunications company, operators are required to create budgets for battery replacements required in the upcoming year. Luckily, the operators previously stored in Atlas critical information regarding the batteries in the network such as their manufacturing date, their installation date, their warranty end date and their cost. Thus, users can quickly identify the batteries requiring replacement during the upcoming year and hence provide their management with a more realistic budget.

• Reduction of unnecessary truck rolls: The network view and user-configurable statuses in Atlas streamline for engineers and technicians their maintenance and truck roll planning for the day. Engineers can also troubleshoot remotely abnormal conditions ongoing in their sites and come better equipped when their presence in a site is required. As a result, truck rolls are better optimized and more unnecessary visits to the sites are avoided.

Example: A user is notified by Atlas that the temperature in three sites is abnormal. Using Atlas’ network view, users can easily sort the sites in decreasing order of temperatures to prioritize the necessary truck rolls. Still using Atlas, the user notices some HVAC units in the most critical site are offline and do not respond. A visit to this site is thus necessary. Before the visit to the first site, the operator uses Atlas’ dynamic table to determine when a battery maintenance is due at this same site. Hence, the user can bring the necessary material for the battery maintenance, potentially saving an additional truck roll. After the first visit, the user moves to the site with the second highest temperature. However, the user notices in the Atlas interface that some of the HVACs in this site seem to have been set accidentally in “heating” mode. Consequently, the operator uses the IP addresses from these devices stored in Atlas to log into the HVAC units and switch these devices to “cooling” mode. The temperature in the site subsequently decreases slowly, and a potential second truck roll has been saved.