A collaborative approach aims to help IT departments and administrators ensure that data stored within their IT infrastructure is accurate and analytics-ready.
eXplorance, a Learning Experience Management solution provider, has launched Data Integrity Gateway (DIG), a new tool allowing higher education IT administrators to enhance data quality and harness the power of big data analytics.
By continuously validating and updating data completeness throughout the IT infrastructure databases (i.e., SIS, LMS, portals), eXplorance’s latest offering is intended to ensure data integrity, enabling academic institutions to make better-informed decisions using big data. DIG helps institutions save weeks of effort and frustration due to normal data validation and cleanup processes.
Since universities and colleges are fluid environments where enrollment and course-related data constantly evolve, data management creates a significant burden for administration.
Even though institutions invest substantial amounts of time and money to update data, the presence of information silos and a disconnect between different systems still prevent many from extracting maximum analytics value. Over time, the lack of automated processes for collecting, updating and synchronizing enrollment and other academic data across databases leads to discrepancies.
“Blue, as an all-in-one-assessment solution, provides teaching and learning analytics which leverage institutions’ existing data infrastructure. When enrollment data is inaccurate, institutions are faced with challenges pertaining to automation and reliability of gathered insights,” says Samer Saab, eXplorance’s CEO. “Rather than investing 7 weeks to ensure accuracy of enrollment data for course evaluation automation, administrators can now complete the process in less than 10 days while minimizing data discrepancies,” explains Saab.
The DIG system automatically follows-up and reminds stakeholders of their required updates until the tasks have been completed. Administrators are only involved during the configuration phase as DIG projects are completed by the organization collectively. The tool synchronizes process flows across systems and runs data validation processes on a regular basis, digging out any imprecise information to ensure incremental data updates over time.
By providing an advanced collaborative data management platform, the Data Integrity Gateway hopes to present academic institutions with a sophisticated way to ensure data quality while saving substantial amounts of time and resources. To learn more about how the DIG transforms data management for higher education institutions and opens the door for accurate analytics, schedule a private demo session.
Material from a press release was used in this report.