What steps are necessary to get the right amount of qualitative data for analysis?

This article provides insight into recent advances in developing effective approaches to clustering data.

The advantages and disadvantages of using PowerBI.

A clear compromise between parametric and metric methods is the use of neural networks to solve classification problems.

Process mining is mainly used to analyse non-trivial processes, but it can also be used to optimize processes.

Data cleansing is mandatory, as the value of the repository is determined by the quality of the information collected.

The tangent method is characterized by the fact that there are no fixed group borders, which makes a regular review of the threshold values unnecessary.

There are many well-known methods for solving analysis problems. Why do they often not work?

RFM analysis is a simple yet efficient way to predict a customer's behavior.

Cohort analysis is a branch of behavioral analytics in which clients are not viewed as a single set but are divided for analysis into groups called cohorts.

What do ABC analysis, Pareto principle and Lorenz curve have in common?

Low-code is a development method that allows you to design logic quickly and with low implementation costs.

A lack of customer analysis carries great risks and can jeopardize a company's competitiveness.

Intelligent recommendations for action for sales representatives — a new reality in sales.

Analytical CRM uses data analysis technologies with the aim of increasing the quality of the customer base.

Concrete recommendations for action simplify your daily work, improve the decision-making process and save time.

The customer lifecycle refers to the process of passing through the different stages of the relationship between the customer and the company.

ABC analysis is a classification method to rank a company's resources according to their importance and profitability.

XYZ analysis is a classification method to rank the resources of a company.

Customer churn is the ongoing process whereby individual customers abandon the purchase of a company's products or services.

RFM analysis is the analysis of a company's customers to segment them by business value.

In marketing, a net profit is expected to be generated throughout the customer lifecycle. The CLV valuation model can vary in complexity and accuracy, from rough heuristics to the use of sophisticated predictive analytics techniques.