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Saúde

Data & Analytics Platform for a Pharmaceutical Multinational

Data integration, self-service BI, and governance for a 360° view of the commercial journey and healthcare professionals

Saúde: Data integration, self-service BI, and governance for a 360° view of the commercial journey and healthcare professionals

01The Client

Large multinational in the pharmaceutical sector.

02The Challenge

  • Need to evolve the organization's analytical capabilities and build a unified view of the commercial journey and healthcare professionals
  • Data scattered across multiple platforms, hindering consolidation and analysis
  • High manual effort to consolidate information from different sources
  • Limitations in existing tools for generating strategic insights
  • Difficulty making data-driven decisions in an agile and reliable way

03Implemented Solution

  • Construction of a modern cloud-based Data & Analytics platform with scalable architecture
  • Creation of a corporate Data Bus to integrate different data sources into a single, governed environment
  • Implementation of data ingestion and transformation pipelines (ETL/ELT)
  • Analytical modeling and creation of Data Marts oriented to business journeys
  • Development of dashboards and reports in a self-service BI environment
  • Application of best practices in data governance, quality, and information security
  • Agile execution with multidisciplinary squads (integration, modeling, visualization, and analytics)

04Strategic Differentials

  • Scalable cloud architecture, prepared for evolution into advanced analytics and artificial intelligence
  • Focus on strategic business journeys: commercial and healthcare professionals
  • Use of agile methodologies with multidisciplinary squads to accelerate delivery and reduce risks
  • User enablement for autonomous use of analytics tools (self-service BI)

05Results Achieved

  • Creation of a 360° business view with reliable, integrated, and accessible information
  • Reduction of operational effort through automation of data consolidation
  • Increased agility in data-driven decision-making
  • Better understanding of commercial performance and optimization of resource use
  • Greater ability to measure results and expand strategic data-driven initiatives

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