Data & AI Integration Strategy

Align data, platforms, and/or AI for an integrated ecosystem.
 

• Data Integration Strategy:
  Design data management capabilities for scale.
   

• Platform Integration Strategy:
  Infrastructure strategies with traditional and lake house approaches.
   

• AI Integration Strategy:
  Operating Models for AI evaluation & governance.

​Data Product Strategy & Lakehouse Implementation

• Data Product Vision & Strategy:
  Roadmaps for domain data products and for-purpose data products.
   

• Lakehouse Architecture Design:
  Approaches to manage data across sources and implement a Medallion Architecture.
   

• Data Product Features:
  Technology roadmaps for data product modeling and management at scale.
   

Agentic AI Use Case Enablement Framework

• Agentic AI Use Case Roadmap:
  Create a structured roadmap and playbook to enable prioritized use case delivery and management.
   

• Prioritization Framework:
  Evaluate business needs, industry trends, potential ROI, and execution plans.
   

• Enablement Playbook:
  Lead change management for infrastructure, data management, and governance.

Data Democratization Capabilities & Marketplace

• Real-Time Data Integration:
  Integrate real-time data feeds.
   

• AI for BI:
  Strategies to modernize BI Dashboards and enable capabilities for AI-enhanced insights.
   

• Customized Data Marketplace:
  Design Marketplace solutions with customized user experiences to facilitate the discovery, self-service, and use of trusted data.