Case Study: argonauten360° achieves 50% forecasting error reduction and competitive pricing advantage with STATISTICA Data Miner (StatSoft)

A Statistica Case Study

Preview of the argonauten360° Case Study

argonauten360° - Customer Case Study

argonauten360° is a German CRM consulting firm that helps companies—including major telecom clients—build relevance-based customer strategies. Because their telecom projects required flexible, cutting‑edge analytics for scoring, clustering and lifetime‑value work under varied data scenarios, they needed a powerful tool with a fast learning curve that would deliver quick ROI for analysts.

They adopted STATISTICA Data Miner to model minute‑by‑minute airtime sales using ensembles of regression models and self‑learning ARIMA components, identifying price‑sensitive time zones. Within two months forecast error was cut in half versus expert heuristics; the solution was deployed as a turnkey rate‑simulation and demand‑forecasting system that gave the Call‑by‑Call provider a clear competitive advantage and will be extended with dashboard monitoring and automated model updates.


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argonauten360°

Jochen Hahn

Managing Director


Statistica

42 Case Studies