Generali is the largest insurance company in Italy and one of the biggest worldwide. With more than 70,000 employees and massive global operations in 50-plus countries, the company was sitting on a trove of HR data, all contained within the Oracle Cloud HCM application and various other sources. That's when Generali decided to adopt a new analytics approach to exploit the data.
The HR departments at Generali compiled data manually in templates and sent those templates to the head office team for reporting and analysis purposes. This approach was time-consuming and susceptible to errors. Generali needed a more efficient, reliable, and automated process.
The goal was to find a solution that would increase a data-driven mindset across Generali’s HR community, a shift that would have a long-term ripple effect of increasing efficiencies, correlating HR patterns for better decision-making, supporting D&I, and automating reporting and key metrics analysis that focus on improving the overall HR function and employee engagement.
We had a lot of people focused on reporting. Colleagues were required to provide information from all around the world every month. We are now autotomizing that process.
Global Head of Workforce Analytics, Generali
Oracle Autonomous Data Warehouse and Oracle Analytics transformed Generali’s reporting process, empowering HR with direct access to more accurate information to support the management of the company's best asset: its people.
Generali’s streamlined and automated reporting process allowed HR staff to be more productive and focused on value-adding activities rather than overwhelmed with reporting tasks.
Oracle Analytics also provided Generali HR and executives with key insights and measures about employee management, integrating data from different sources, including Oracle HCM and the newly developed Group Learning Management System.
Specifically, Oracle Analytics enabled Generali to offer a one-stop-shop for all HR-related analysis and to automate key HR reporting across the company.
Generali also created an executive dashboard to monitor and measure strategic HR KPIs, with the convenience of accessing key information on mobile devices.
Machine learning in Oracle Autonomous Data Warehouse tunes itself to increase reporting speed even while Generali increases data volumes. Now, HR users experience a quicker reporting response time of fewer than 2 seconds due to the performance improvement and expanding analytics adoption. Generali also benefits from autoscaling the autonomous database on demand, increasing capacity for greater performance during peak reporting periods, and decreasing capacity to save costs.
Overall, Generali’s HR community has embraced a more analytical culture, supporting the decision-making process with meaningful and easy-to-use workforce analytics.