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实例探究 > STATISTICA Data Miner in the Telecommunication Industry: The German consulting company argonauten360° uses STATISTICA Data Miner to develop effective Product portfolios custom-tailored to their customers

STATISTICA Data Miner in the Telecommunication Industry: The German consulting company argonauten360° uses STATISTICA Data Miner to develop effective Product portfolios custom-tailored to their customers

技术

分析与建模 - 数据挖掘
分析与建模 - 预测分析

适用行业

Professional Service
电信

适用功能

商业运营
销售与市场营销

用例

需求计划与预测

服务

软件设计与工程服务
系统集成

挑战

argonauten360° faced the challenge of needing advanced analytic tools for client scoring, clustering, and life-time-value computations in the telecommunications industry. Each project presented unique data scenarios and analytic challenges, requiring a flexible and powerful toolset. Additionally, the solution needed to provide quick ROI, be easy to apply, and have a fast learning curve for analysts to quickly take ownership of advanced analytic procedures.

关于客户

argonauten360° is a German consulting group specializing in customer relationship management (CRM) strategies. They utilize Relevanz-Marketing® to create value through relevant dialogues with customers. The company works with a wide range of methods for interview and interactive marketing. Their client list includes prominent names such as BMW, Allianz, Deutsche Bank, Gerling, and Coca-Cola. As a leading consulting company in the telecommunications industry, argonauten360° applies advanced analytic technologies for client scoring, clustering, and life-time-value computations.

解决方案

argonauten360° adopted STATISTICA Data Miner by StatSoft, Inc., which provided the ideal combination of features to meet their requirements. The decision was unanimous despite competition from other data mining products. After 12 months of using STATISTICA Data Miner, the experience with StatSoft's service and support reinforced their choice. The solution was implemented as a complete turn-key system, allowing the Call-by-Call provider to predict and simulate optimal cellular rates with greater accuracy. The system will be further improved with a dashboard-like system for automatic comparison of predictions with observed data, ensuring dynamic market adjustments.

运营影响

The Call-by-Call provider can now predict demand for airtime with much greater accuracy in a highly price-sensitive and competitive market.
The provider enjoys a key competitive advantage by offering the 'correct' rates based on accurate demand forecasting.
The system was installed as a complete turn-key solution, requiring no additional analytic know-how from the provider.

数量效益

The accuracy of prognoses improved significantly, cutting the error rate in half.
The analysis was based on data describing minute-by-minute phone traffic over a one-year period.
20 ensembles of models were estimated, each consisting of several regression functions and a self-learning ARIMA component.