Prime Analytics at Alteryx On Tour France 2026: Silver Partner, exhibitor, and speaker on the Cellnex Telecom case study

On stage — A session dedicated to automating the data pipeline with Alteryx & Snowflake, featuring a case study from Cellnex Telecom. A highly representative example: three merged entities, pervasive Excel shadow IT, and a Data team spending 80% of their time on data preparation. The solution: Alteryx Designer + Server + Snowflake — 80% of critical workflows automated.

‍

At our booth — Our consultants welcomed hundreds of visitors to discuss their projects, showcase our AI Data Quality add-ons (available for free), and explore banking use cases (AnaCredit, FINREP/COREP, ECB Loan Tape, Basel IV, Alteryx CoE).

‍

On the floor — Informal conversations were just as valuable, and often more revealing than the plenary sessions.

‍

• 1. A strengthened market foothold for Alteryx Alteryx is establishing itself as the standard for large corporations. The conversation is no longer about "should we adopt Alteryx"—it is about "how do we industrialize and govern our usage."
• ‍

• 2. Generative AI is arriving en masse in Alteryx workflows Alteryx One, Magic Documents, Copilot, Auto Insights. Concrete use cases: automation of data preparation, generation of quality rules, and documentation of workflows in natural language.
• Two points of focus: regulated companies require sovereignty and internal models; usage is becoming widespread but still needs structure (prompt governance, token costs).
• ‍

• 3. Snowflake, Databricks, and the cloud data ecosystem at the center Emerging pattern: Alteryx for preparation + cloud data warehouse for centralization. This is the foundation upon which AI is subsequently built. The Cellnex case illustrates this perfectly.
• ‍

4. Scaling remains the real challenge Many teams have moved past the PoC stage. The issue now is long-term sustainability—monitoring, inference costs, model governance, continuous training, and skill renewal.