Seamlessly and securely link to disparate data sources
Juriba uses two methods to connect to your environment:
Optimized queries harvest only the required and changed data from data repositories. Data is transported in batches, so should anything break (like an unscheduled SCCM reboot), the connectors will pick up where they left off. Data is loaded into feeder tables which enable offline processing and immediate switching, meaning no downtime as the data updates.
Parallel and incremental data processing methods achieve configurable and intelligent data refresh. Configure connector rules to harvest specific data (for example, only return devices that have been active in the last 60 days). The connectors use incremental processing designed to place the minimal amount of load on source repositories, and the minimal amount of data into the Juriba platform. They can also be configured to pull different data sets from the same tooling, such as application usage or package entitlements from SCCM rather than installed application data.
Import additional organizational and other project-relevant data using Juriba's CSV file handler. This allows you to update existing data sets with data that's not already in the source systems. Import critical data residing in other external systems such as HR and asset databases using supported CSV format files. This could include user contact details, computer warranty dates, application owners, location hierarchy, business unit hierarchy, PC ownership overlay, web application feeds, and much more. Juriba also links to dynamically-generated project information such as application workflow readiness status or mailbox migration success flags.
Easy to configure data connectors that can be used by non-technical power users using only a read-only service account. Simply point it at the appropriate data repository, schedule when you want it to run, and Juriba will do the rest.
Schedule a personalized product demo to find out how Juriba can help your organization
to streamline its Digital Workplace management with fewer resources in a shorter amount of time.