JMP Live as a Data Warehouse (2025-US-PO-2594)

JMP Live is a powerful platform for analyzing and visualizing ever-growing data sets, especially with its ability to refresh tables from connected data warehouses. However, during new product development, those pipelines are often incomplete – and collecting data across multiple users or sites becomes a logistical challenge.

This presentation explores how JMP Live can bridge that gap by serving as a lightweight, collaborative data warehouse. We walk through several methods for enabling users to contribute data directly to shared JMP Live tables, using simple scripts run locally on their machines. These techniques allow decentralized teams to build and maintain evolving data sets, even before official pipelines are in place.

We also introduce a custom JMP add-in designed to streamline this process further. It helps manage multiple data projects and includes project-specific ETL scripts, making it easier for multiple contributors to integrate their data consistently and efficiently.