Oracle Analytics Consulting Services
Customer success story
University of St Andrews improved student insights with Oracle Analytics
Modernized hybrid architecture accelerated student insight analytics.
Pythian re-engineered legacy data infrastructure to deliver instant visibility across student lifecycles.
Supporting the academic progress and well-being of over 10,000 international students required real-time access to operational data. However, rapid organizational growth overwhelmed the existing legacy data warehouse—causing major performance bottlenecks, slow schema updates, and a loss of clear data lineage. St Andrews engaged Pythian to evaluate modeling frameworks and modernize its data architecture. Pythian engineered a hybrid DataVault and Kimball star schema architecture running on Oracle Database with Oracle Data Integrator (ODI), preserving existing QlikView dashboards for seamless adoption. Student administrators now track complete academic journeys in real time, shifting focus from manual system troubleshooting to proactive student support and resource planning.
Pythian helped us eliminate backend data delays so our administrative teams can track complete student journeys in real time. We shifted hours from fixing data errors to providing proactive student care."
Associate Chief Information Officer (Infrastructure)
University of St Andrews
3K+
Staff receive enhanced support
10K+
Students gain deeper insights
Modernize your legacy data architecture today to accelerate real-time analytics.
Legacy system bottlenecks delayed routine updates and obscured data lineage across university systems.
Pythian engineered a hybrid DataVault and Kimball star schema on Oracle Database to deliver uninterrupted, real-time student reporting.
Growth outpaced warehouse capacity
Legacy infrastructure struggled to handle expanding student populations, slowing query performance and delaying critical administrative updates.
Rigid data models created bottlenecks
Rigid schema structures hampered timely updates and obscured clear data lineage across administrative systems.
Manual processing blocked real-time analytics
Administrators spent excessive operational hours resolving data errors instead of supporting student needs.
Upgrades threatened core dashboards
Transitioning data structures risked breaking existing QlikView dashboards relied upon for daily student administration.
Pythian benchmarked scalable modeling methodologies to eliminate reporting friction.
Pythian analyzed existing query bottlenecks to select a clear data model built for complex university operations. Pythian tested different design strategies to balance speed, long-term growth, and strict data rules. This initial assessment created a clear roadmap to upgrade reporting without disrupting daily administrative work.
The deployment team built a hybrid DataVault and Kimball schema using Oracle Data Integrator.
Pythian combined DataVault's flexible structure with Kimball star models on Oracle Database to organize data flow and speed up reports. Using Oracle Data Integrator (ODI), our Database Engineering Team automated data feeds straight into everyday administrative systems. Combining these models delivered fast, reliable reporting while maintaining a complete history of all student records.
Oracle consultants integrated data pipelines directly into existing QlikView interfaces.
Pythian connected the updated database directly to existing QlikView dashboards, saving past investments and keeping student reports running smoothly. Administrators kept using their familiar reporting tools while gaining faster performance and accurate numbers. Connecting the systems directly ensured staff had uninterrupted, clear visibility into daily campus operations.
Pythian enabled student administrators to pivot from data triage to active support.
Real-time data updates replaced hours of fixing student records by hand. Now, staff can track a student's full academic journey instantly, allowing them to focus on helping students and planning resources instead of constantly fixing errors.
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