At Koexai, we have developed a solution based on an algorithm that identifies cause-and-effect relationships between a set of many variables and a target variable, providing insights into the specific weight of each relationship. This is a crucial tool for understanding the complex dynamics present in the data and identifying key factors that influence the desired outcome.

This scientific project represents our commitment to applying advanced methods to analyze complex data and obtain meaningful insights that can guide informed decisions and effective strategies. At Koexai, we are dedicated to developing innovative solutions that add value to our clients and help them achieve their goals successfully.

The algorithm is designed to accurately identify cause-and-effect relationships between the many variables considered and the target variable, allowing for a deeper understanding of the underlying mechanisms.

In addition to identifying relationships, the algorithm provides information on the specific weight of each relationship, highlighting the relative importance of each variable in determining the final outcome.

The algorithm offers the capability to perform what-if analysis, enabling the exploration of hypothetical scenarios and assessing the impact of alternative decisions on the identified relationships.

The algorithm supports what-if-I-had-done analysis, allowing for a retrospective evaluation of past decisions and exploring how they would have influenced the identified relationships.