When integrating other platforms into ServiceNow, data must be sent between multiple processes. Data integration may be used to pass along user authentication information, trigger alerts and notifications, export reporting data, and run individual processes. But transferring large volumes of data through a complex and integrated system is not without its challenges. Here are some of the most common issues an organization may experience.
Though it’s possible to test data integration on a platform that has not yet gone live, this can lead to substantial issues later on. Data integration has to be tested in a live environment, because there are issues that simply won’t occur during a test. Though stress tests should be performed before any changes go live, the changes should ultimately still be pushed to production and examined before they are considered to be fully tested. Developers should set aside a window for live testing, during which the organization will need to be especially vigilant.
Data security is one of the primary concerns when importing and exporting data. In order to improve upon security, ServiceNow provides a few integrations. ServiceNow works through a firewall and a specific port in that firewall, to ensure that traffic can be properly managed. Integrations can communicate through HTTPS rather than HTTP, encrypting all of the data that is being transmitted between applications. A single-sign on and mutual authentication system ensures that users have the permissions to view the data they are requesting, and access control lists can be used to further restrict access. A High Security Plugin is further available for even more strict security standards.
Though an integration may function, that doesn’t necessarily mean that it’s well-optimized for a live environment. As data integration becomes more complex, additional overhead costs come into play and eventually a network may experience performance issues. In order to scale up reliably, an organization must spend time optimizing their data integration and ensuring that there are no redundant actions or unnecessary data transfers. Other performance optimizations such as caching and scheduled LDAP refreshes may also need to be used to further mitigate resource usage.
ServiceNow data refreshing is not always available in real time. As an example, LDAP data refreshes generally occur within fifteen minutes, but they do not occur “live.” Organizations that need to have real-time data flowing through their system may need to make additional modifications to the way the data is transferred and stored and again they are going to have to be mindful of the additional overhead costs.
For the most part, major data integration challenges are going to relate to performance, optimization, and consistency. Through SynQ, businesses can achieve better and more consistent data integration with ServiceNow, without losing access to the features that they need. When properly integrated, ServiceNow can serve as a major all-in-one hub for an organization’s most critical performance and service-related information.