Excellence in Data Modeling for Intelligent Decisions Qorus-NTT DATA Innovation in Insurance Awards 2026

Submitted by

Bradesco Seguros

Premium
06/03/2026 Insurance Innovation
This innovation consisted of delivering a tool to accelerate data collection, preparation, and analysis, ensuring greater operational efficiency and autonomy for managers in the creation of strategic views and reports.
Innovation details
Country
Brazil
Category
Operations & Workforce Excellence
Keyword
Operational excellence & efficiency, Strategy & Business model, Data, Automation
Business Line
Employee Benefits
Distribution Channel
Brokers

Innovation presentation

Concept and Objectives

The project focused on implementing SAP Datasphere to modernize corporate data management, aiming to reduce the time spent on data collection, preparation, and analysis, while increasing managers’ autonomy in creating strategic reports.

Reasons

The initiative emerged from the need to accelerate analytical processes, reduce dependence on technical teams, and strengthen decision‑making based on reliable and accessible data.

Competitive Landscape

In the insurance sector, competitors have been investing in data and analytics platforms to gain agility and accuracy. The adoption of SAP Datasphere positions Bradesco Seguros in line with market best practices, ensuring a competitive advantage.

Sources of Inspiration

The project was inspired by benchmarks from large companies that already use data‑management solutions to transform data into strategic assets, as well as global trends toward information democratization.

Departments Involved

The implementation involved integrated collaboration between the Information Technology – Holding area and the Operations Directorate – CSC – Transformation & Analytics Management (GT&A).

Key Results Achieved So Far

  • 90% reduction in time spent on data collection and preparation activities.

  • Greater autonomy for managers in creating views and strategic reports, without relying on technical teams.

  • More agile decision‑making processes, backed by reliable data.

  • Strengthening of the organization’s data culture.

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