References
The following overview presents a selection of projects we have successfully completed to develop customized solutions for various client needs. These references illustrate our expertise in applying advanced statistical and data analysis techniques to real-world problems and challenges. The projects include comprehensive market analyses, accurate customer forecasts, detailed employee surveys, and thorough education evaluations. By using proven methods and innovative approaches, we were able to gain valuable insights and develop well-founded recommendations for our clients. Each of these references is an example of our ability to transform complex data into actionable insights, thereby supporting the business and strategic success of our clients.
Market penetration
Title: Statistical studies for the implementation of quantitative market analysis
Client: Food company with high market penetration
Comprehensive fieldwork using a mobile questionnaire for observation is to be carried out to examine the market for the various product groups of a food company. To this end, samples are taken from various sales channels (restaurants, discotheques, snack bars, gas stations, etc.) throughout the relevant market and then further processed with weightings. This will provide an inventory of the market at a specific point in time and in specific locations. In addition, a collection of time series will be created over time, which in turn can be processed along the product hierarchy and along the geographical hierarchy. At the same time, selected competitor products were also recorded so that all analyses can also be carried out comparatively.
Techniques:
- Descriptive time series analysis
- Regression analysis and the derivation of trends and seasonal figures within the time series
- Application of the methods to comparative analyses across product categories and individual products
Customer analysis
Title: Forecasting system for customer decisions
Client: Medium-sized company in the telecommunications industry
Customers and their characteristics are to be examined, whereby, in addition to the usual derivation of clusters and one or more hierarchies with which customers can be described, forecasts for the future development of contracts, the acceptance of offers, and, of course, the bounce rate are also to be made.
Techniques:
- Cluster analysis for the hierarchical breakdown of customers and their characteristics
- Principal component analysis and conjoint analysis for the analysis of decisions to accept offers or terminate contracts
- Artificial neural networks for the prediction of individual decisions
- Forecasting within time series analysis for the prediction of global trends and fluctuations
Employee surveys
Title: Descriptive analysis and conjoint analysis in employee surveys
Client: Consulting firm in the field of human resources and empirical social research
The statistical analysis module for employee surveys contains the usual descriptive procedures that occur in a standard questionnaire in the field of human resources management. However, this traditional employee survey also explicitly addresses complex issues that examine preferences in terms of social benefits, compensation systems, and alternatives in work organization. In addition, the credibility of management statements and actions at the social and ethical level of management is also to be examined. To this end, the relevant questions were examined using various methods from conjoint analysis.
The respective results are then presented in tabular form or as diagrams in special highly aggregated management reports and also prepared in a non-automatically generated management report.
Techniques:
- Cluster analysis for the hierarchical breakdown of employees and their characteristics
- Principal component analysis and conjoint analysis for the analysis of decisions to accept offers or terminate contracts
- Artificial neural networks for predicting individual decisions
- Forecasting within time series analysis for predicting global trends and fluctuations
Education evaluation
Title: Analysis of training measures and learning outcomes in the context of education evaluation
Client: Consulting firm in the field of human resources and education
The evaluation system offers the opportunity to examine the quality of educational measures. Some questions directly concern the participants and their individual assessment of a training course or other continuing education measure, as well as their expectations of such a measure and how these were met. Other questions, on the other hand, are intended to compare different types of educational measures on the same topic that were carried out in different lengths or forms. In addition to a single analysis within the two dimensions of “participants” and “training,” interactions between the two dimensions and multivariate analyses are also performed.
Techniques:
- Factor analysis to bundle several measured variables
- Principal component analysis to derive key factors influencing learning success
- Logit analysis or logistic regression for descriptive analyses of groups and their characteristics with regard to various questions examined