Customer Segmentation and Clustering
Customer segmentation is based on the assumption that customer behavior is both different from each other and exhibits certain regular patterns. Customer segmentation is an effort to meaningfully divide the customer base into groups so that customers associated in the same group are characterized by similar behavior in certain aspects. Customer segmentation is an effort to divide the customer base into groups according to certain customer attributes.
Anomaly detection
Anomaly detection (outliers detection) refers to the problem of finding patterns in data that do not conform to expected behavior. These non-conforming patterns are often referred to as anomalies, outliers, discordant observations, exceptions, aberrations, surprises, peculiarities or contaminants in different application domains.
Costs Are Like Grass – They Grow, when You Don’t Cut Them
Articles on “reducing costs and improving performance” written over the past few years would yield many stacks of paper, or megabytes of data. Many companies are dedicated to reducing costs and improving performance.
At the end of last year, there was a significant recovery of the Czech economy and companies often focus more on timely security of supply than on reducing costs. However, in connection with the termination of currency interventions by the Czech National Bank, many companies will face the difficult task of how to best cope with the onslaught of orders and successfully cope with foreign competition in the current set-up.