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Workshop

Data Modeling

Design the data foundation for an Intelligence Platform
When business definitions live in dashboards and in people’s heads instead of the data, AI produces inconsistent answers. Every new request takes longer. Teams spend time validating numbers instead of acting on them. This hands-on workshop gives your team a practical framework for building a data model that encodes shared business meaning, supports every downstream use case, and gives AI something it can reason on.
Duration
Half-day or full-day
Format
In-person or virtual
Cadence

One time

Schedule this workshop
Download the workshop overview

What you’ll cover

The workshop covers the full arc of data model design — from diagnosing what’s broken in your current state to making specific pattern decisions and building toward AI readiness.

  • Why inconsistent data models are a business risk, not just a technical one
  • How to choose between dimensional, Data Vault, canonical, and wide table patterns based on what the business needs
  • How to move metric definitions, entity relationships, and business rules out of dashboards and into the data layer
  • What AI requires from a data model: explicit grain, consistent relationships, and machine-readable meaning
  • How a strong data model connects to your semantic layer — the metadata layer that exposes definitions and metrics to every tool and agent that queries your data
  • A hands-on working session applying the frameworks to a real domain from your environment

Who should attend

This workshop works best as a cross-functional session. The decisions it covers require both technical depth and business context.

  • Data & Analytics Leaders (CDO, VP of Data, Analytics Director) accountable for data quality and AI readiness
  • Data Architects and Engineers who design and build the models analytics and AI depend on
  • BI and Semantic Layer Owners managing metrics, definitions, and reporting consistency across tools
  • Business Domain Experts and analytics leads who define the use cases AI needs to support

Why phData

phData has spent more than a decade helping enterprises design and build modern data platforms across Snowflake, dbt, and the full cloud stack. This workshop draws directly from that delivery experience — the patterns that work, the tradeoffs that matter, and the mistakes teams make when they skip this step.

  • Snowflake Elite Services Partner (7× Partner of the Year)
  • AWS Premier Partner (2025 Design Partner of the Year)
  • Anthropic Preferred Partner
  • dbt Visionary Partner (3× Partner of the Year, 2023–2025)
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Ready to build your foundation?

Schedule this workshop at your team’s pace and we’ll handle the rest.