Design Data-as-a-Service – Executive Brief

Read our concise Executive Brief to find out why you should design Data-as-a-Service (DaaS), review Info-Tech’s methodology, and understand the four ways we can support...

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...

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 – 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 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...

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.

A Consensus Is Emerging: AI Regulation Must Be a Global Effort That’s Values-Driven, Risk-Based, and Evidence-Informed

Governments are starting to regulate AI. The current efforts are still rather fragmented, but a consensus is emerging. Read our summary from a recent event, the Athens...

Build a Data Pipeline for Reporting and Analytics – Phase 3: Select Data Design Patterns

This phase of the blueprint, Build a Data Pipeline for Reporting and Analytics, will help you select the appropriate data design patterns for your data pipeline components.

Build a Data Pipeline for Reporting and Analytics – Phase 2: Identify Data Pipeline Components

This phase of the blueprint, Build a Data Pipeline for Reporting and Analytics, will help you identify data pipeline components.

Build a Robust and Comprehensive Data Strategy

Put a strategy in place to ensure data is available, accessible, well integrated, secured, of acceptable quality, and suitably visualized to fuel organization-wide...
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