Case Study: Autodesk achieves simplified data preparation and faster self-serve analytics with Matillion ETL

Autodesk - Customer Case Study

Autodesk, a global leader in design and engineering software, faced a growing need to turn vast instrumentation and usage data into timely, accurate insights. The data team needed faster transformation, higher-quality self-serve data for diverse skill levels across the business, and a low-code/no-code solution that integrated with their chosen platform, Snowflake — which led them to adopt Matillion ETL for Snowflake.

Matillion delivered a visual, low-code/no-code ETL/ELT solution that ingests, transforms and unloads data into Snowflake and Autodesk’s data lake, while still supporting advanced transformations for technical users. By using Matillion, Autodesk produced analytics-ready data for better lead scoring and churn prediction, sped up data delivery, simplified onboarding, and retired legacy tooling that had caused 90% of their data quality issues — materially improving the velocity and quality of enterprise data.

Autodesk

Mark Kidwell

Chief Data Architect