Our Services

Data Mining

During the data understanding process and pre-analysis, mainly descriptive statistics (mean, variance, mode, median, trend) are used. While in analyzing sales data, different segmentation methods and deterministic time-series analysis are used to describe the market’s dynamics and to handle missing data. We are applying methodology of non-linear statistics to identify the connections between past investments and sales performance.

Stochastic Simulation

Packaging
To find an optimal product order, while minimizing the packaging process time. To avoid delays caused by non efficient production order. To aid the company in design of production process.

Call Center
To find an optimal resource allocation and process order, while minimizing the client queue and the average waiting time. To avoid delays, unclosed issues caused by the non efficient process. To aid the service process development.

Customer Service
To find an optimal human resource allocation for different tasks, while minimizing the client queue and the average waiting time. To avoid delays, unclosed issues, leaving customers caused by the non efficient process scheduling.

Social Network Analysis

Mining the warehouse of user calling and other communication and product adoption behavior offers the ability to improve targeting, retention and acquisition activities. This is new to an approach based not only on traditional measures of monthly spend, length of loyalty contract, handset subsidies but also combining these measures with clustering calling behavior, centrality, telecom adjusted PageRank© type influence score, spreading of VAS usage and affinity. With these measures we will help you reduce churn, identify false rotational churn, decrease your retention costs, and achieve double digit percentage increase in social service diffusion.