To compete in an AI-first economy, businesses need to unlock real-time insights, reduce operational friction, and accelerate innovation. A modern data management strategy is essential to achieving this—connecting core systems and analytics platforms into a unified data architecture.
Join Boomi's CPTO, Ed Macosky, along with Adaptiv's Chief Technology Officer/Co-Founder, Nikolai Blackie, and Principal Consultant, Philip Durrant, as they share proven frameworks for establishing centralized data management solutions that deliver tangible business outcomes: faster access to analytics-ready data, improved governance, and streamlined operations across hybrid environments.
You’ll also hear how organisations are applying these principles in practice—including a spotlight on TRENDS/Tuapeka, a leading Australasian manufacturer, who transformed their data landscape by connecting their on-prem ERP with cloud tools like Azure and Databricks using Boomi.
In this session, we’ll cover:
- How to establish a centralized data management foundation across diverse systems and data sources using Boomi DataHub
- Key strategies for activating operational data and optimizing analytical data pipelines to ensure trusted, governed, and analytics-ready data.
- Practical examples of how Boomi Data Management (including DataHub and Data Integration) works seamlessly with platforms like Databricks, Snowflake, and Microsoft Fabric.
- Best practices drawn from real-world customer success