Establish an Analytics Operating Model – Phase 1: Define Your Analytics Needs

This phase helps you understand your organization's data landscape and current analytics environment so you gain a deeper understanding of your future analytics needs.

Build a Data Pipeline for Reporting and Analytics – Phase 1: Understand Data Progression

This phase of the blueprint, Build a Data Pipeline for Reporting and Analytics, will help you understand the data progression across major business capabilities.

Build a Data Pipeline for Reporting and Analytics – Phases 1-3

This storyboard will help you understand how to build your data pipeline using the most appropriate data design patterns.

Design Data-as-a-Service – Phase 3: Establish a DaaS Framework

This phase will provide a step-by-step guide to capture internal and external data sources critical to data products success for the organization and document end to end...

Design Data-as-a-Service – Phase 2: Design Data Product

This phase will leverage design thinking methodology and templates to document your most important data products.

Design Data-as-a-Service – Phase 1: Understand Data Ecosystem

This phase will provide clear benefits of adopting the DaaS framework and solid rationale for moving towards a more connected data ecosystem and avoiding data silos.

Design Data-as-a-Service – Phases 1-3

Data marketplaces facilities data sharing between the data producer and the data consumer. The data product must be carefully designed to truly benefit in today’s...

Create an Architecture for AI – Phase 3: Define the AI Architecture Roadmap

This phase of the blueprint will help you define a roadmap to implement the architecture to support your AI initiatives.

Create an Architecture for AI – Phase 2: Design Your Target State

Build a target state architecture for AI.

Create an Architecture for AI – Phase 1: Assess Business Use Cases for AI Readiness

Assess your current AI maturity.
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