Data & Business Intelligence - Storyboard

Mandate Data Valuation Before It’s Mandated – Phase 2: Data Value Chain

This phase introduces the data value chain framework and provide a step-by-step guide to start collecting data sources.

Mandate Data Valuation Before It’s Mandated – Phase 3: Data Value Assessment

This phase helps you mature your data valuation by putting in the valuation dimensions and metrics. It will also help you establish documented results that can be...

Create an Architecture for AI – Phases 1-3

This storyboard will help you assess and define the architecture to support AI within the organization.

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

Assess your current AI maturity.

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

Build a target state architecture for AI.

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.

Sprint Toward Data-Driven Culture Using DataOps – Phases 1-3

The pains of poor data operations are felt throughout an organization, from pressures on data analyst to produce insights without proper practice to operationalize...

Sprint Toward Data-Driven Culture Using DataOps – Phase 1: Discover Benefits of DataOps

This phase helps understand benefits of DataOps will help you to understand the reasons why organizations are looking to establish agile principles in their data...

Sprint Toward Data-Driven Culture Using DataOps – Phase 2: Assess Your Data Practice for DataOps

This phase analyzes DataOps using Info-Tech DataOps use case framework, will help you to identify the gaps your data practices that map all data use cases that need to...

Sprint Toward Data-Driven Culture Using DataOps – Phase 3: Mature Your DataOps Practice

This phase helps you mature your data practice by putting in the right people in the right roles, establishing DataOps metrics, communication plan, DataOps best practices...
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