The purpose of data analysis

Technological progress over the last decades has led to an enormous increase in the amount of information stored in computer databases. As a result, the necessity for finding dependencies, similarities, tendencies, etc., in other words for data analysis, has also grown. This kind of information has a huge potential of increasing the business effectiveness of companies.

However, it is not always the case that the availability of gigabytes of data translates into real world benefits. In numerous situations potential losses should be attributed to the limited capabilities of standardized data processing software. Such software usually lacks the tools required to discover complex dependencies hidden in huge databases. On the other hand, Data Mining methods, which are the cornerstone of our solutions, are a scientifically proven answer to the problems businesses encounter when processing information stored in large collections of data.

StatConsulting offers analytical tools customized to the special needs of the following sectors:

• financial (banking, insurance, leasing, debt collection),
• medical and pharmaceutical,
• telecommunications.

Data analysis services are also applicable in many other lines of business, for instance in FMCG, administration, logistics, industry, or the energy sectors.

Business benefits

StatConsulting offers analytical services based on Data Mining methods for problems like risk management and the modeling of customer behavior. Our solutions provide answers to important questions routinely encountered by businesses. For instance:

• How to identify customers who bring in the largest profit? What is specific about this group of customers? How to adapt the comapany's offer to suit this special group of customers?
• How to predict the most probable sales trends and other economical indices?
• How to identify customers who are likely to stop using our services?
• How to increase customer satisfaction? Which factors affect the loyalty of customers?
• Which transactions made by the customer are likely to be fraudulent?

The usefulness of Data Mining methods has been proven in many fields, especially in the areas where effective use of information is the key to success.

Our analyses, supported by Data Mining methods, offer notable benefits, such as

• acquiring information about current or potential markets,
• creation of customer profiles and modeling of their behavior,
• trend prediction,
• detecting errors and irregularities in the data.

Overview of the analytical services offered by StatConsulting

• Churn / Attrition Analysis
• Conjoint Analysis
• Survival Tme Analysis
• Cross/Up Selling Analysis
• Analyses for the purposes of retention campaigns
• Data Quality Analysis
• Market Basket Analysis
• Customer Lifetime Value and Value at Risk Analysis
• Web Usage Mining
• Data visualization and exploration
• Credit Scoring
• Optimization
• Optimization of marketing campaigns
• Sales forecasting
• Customer segmentation and profiling
• Text Mining
• Web Farming
• Fraud Detection

Feel free to contact us with any questions you may have. We will be glad to answer any inquiries about our products and services.