The data-driven digital journey defining Boehringer Ingelheim

This technology makes it easier to obtain maximum value from the data and solves the problems of previous generations, adds Sanz. “The strategy includes an actionable data governance model, which helps ensure data quality and consistency for different use cases globally,” he says.

Rosell adds Boehringer has always understood that data management is essential for knowledge, optimization of resources, and decision-making. And with cloud computing and adopting Snowflake, the organization has detected a tremendous opportunity to advance its ambition to eliminate redundancies, dispersion, and silos of data, and to promote higher levels of synergies and more transparent governance.

In addition, Snowflake has a solid track record working with companies in pharma, which guarantees its ability to adapt to Boehringer’s specific needs, and allows teams to focus on generating value without complex technical distractions. A key feature, Català adds, is its ability to decouple from a specific cloud provider, granting them strategic freedom and no future dependencies. “Its SaaS model resulted in a significant reduction in costs associated with maintenance and administration, freeing up resources to invest in innovation,” he says.

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