A structured global team that adapts to changing business needs
Case Study
Client: Plante Moran
Plante Moran, a leading enterprise, faced challenges in scaling up its Microsoft BI capabilities. The company sought a strategic approach to enhance efficiency, optimize resources, and drive innovation within its BI team while leveraging the full potential of Avenir Digital’s Global Capability Centre (GCC) offering to maximize business impact.
Avenir Digital’s Accelerated Innovation Model (AIM) Avenir Digital assisted Plante Moran in overcoming these challenges through its AIM Framework. By integrating GCC capabilities, Avenir Digital revolutionized the way BI operations were managed, ensuring scalability and efficiency.
• Sustaining & optimizing resources for global capacity
• Streamlined BI team workflows with optimized resource allocation
• Enhanced collaboration through centralized data governance
• Standardized reporting and analytics frameworks across global teams
• Knowledge retention and upskilling to ensure long-term sustainability
• Integrated AI-driven analytics to automate reporting and insights
• Leveraged cloud-based Microsoft BI solutions for scalability
• Enabled self-service BI capabilities for business users
• Implemented predictive analytics and machine learning models for deeper insights
• Implemented governance models to drive BI best practices
• Reduced operational costs by optimizing infrastructure and tools
• Established a shared services model to enable cost-efficient BI operations
• Enhanced agility and responsiveness through data-driven decision-making
Avenir Digital’s GCC model provided Plante Morgan with significant business value, including:
A structured global team that adapts to changing business needs
Optimized operational expenses through resource consolidation.
BI expertise, AI-driven analytics, and governance support.
Unified data management and compliance with global best practices.
AI and automation to future-proof BI operations.
A structured global team that adapts to changing business needs
Optimized operational expenses through resource consolidation.
BI expertise, AI-driven analytics, and governance support.
Unified data management and compliance with global best practices.
AI and automation to future-proof BI operations.
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