From Messy Data to Scalable Analytics: DAMA Toronto’s Data Foundations Workshop
DAMA Toronto is hosting a special, in-person, all-day workshop and networking event focused on the core building blocks of modern data foundations.
The workshop will explore data architecture, modelling, shared definitions, and AI-ready design. It is intended for people who work with data, rely on data, or are responsible for data outcomes.
Why Attend?
Many organizations do not struggle because they lack data. They struggle because they cannot trust it.
One dashboard may show that revenue is increasing while another shows that it is decreasing. Teams spend time debating numbers instead of making decisions. Reports break when systems change, and AI tools produce answers that people may not feel confident using.
This workshop will explain why these problems occur and how modern organizations can design stronger data foundations. Participants will see practical examples of how inconsistent definitions, poorly designed reporting layers, and missing shared context can lead to confusion, rework, and stalled initiatives.
By the end of the workshop, participants will better understand how data can be structured so that numbers have consistent meanings, reports can be created without repeatedly starting from scratch, and analytics and AI can be added as an organization grows.
Workshop Topics
The workshop will also include structured networking opportunities, coffee on arrival, and a light lunch.
This event is supported by the Malloy open-source project and its contributors, as well as the Credible data engine.
Event Details
Location: George Brown College, Waterfront Campus
Format: In-person, all-day workshop and networking event
Registration is open, and seating is limited.
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