Workshop Series
Data Modeling Workshop
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.
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
Length
Half-day or full-day — customized with your team
Delivery
In-person or virtual
Team Size
Designed for teams up to 25
Environment
Available as a standalone session or paired with the dbt Enablement + AIAD Workshop
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.
phData is a Snowflake Elite Services Partner and a 3x dbt Partner of the Year (2023, 2024, and 2025). Every concept in this workshop has been applied on actual implementations. The agenda reflects what data teams actually encounter in the field, and the session is tailored to your stack before we show up.
Request a Workshop
Ready to build your foundation?
Schedule this workshop at your team’s pace and we’ll handle the rest.
