Unearth the hidden relations in multivariate data. Identify the features that drive your objectives. Uncover their causal relations. As a result, make safer predictions.
Identify the Most Important Features
Rank data features in order of importance using the AK Feature Importance Analyzer
Rank these features globally (across all data) and locally (for a specific group of similar data items)
Given these rankings and your specific goals pick one or more target features to discover the data feature configurations that offer the greatest predictive power
Precisely discern the value ranges of these feature configurations using the AK Visual Pattern Explorer Dashboard
Find Patterns and Groups That Matter
The AK Pattern Discovery Engine can extract
groups of similar data itemsMultivariate and high-dimensional data are ecosystems of subpopulations with different characteristics. Finding these groups of data items will allow you to specify dedicated strategies for each in order to maximize their effectiveness at economies of scale.
that all have unusually high or low performance in a target feature of your choosing
The AK Visual Pattern Explorer then guides you through the ecosystem of groups and patterns and allows you to form dedicated strategies and predictions
Ask What-If Questions
Use the AK Causal Relation Extractor to combine the insights derived from the other tools in the AK Analyst
Gain a more complete understanding on how the various features causally relate and interact
Perform What-If Analyses to impose possible interventions and see how the target would change
You may ask, for example, what happens to sales if I increase ad spending by 10%?
Akai Kaeru unearths the hidden relations in high-dimensional data and transforms them into actionable information
Let our software do the heavy lifting and gain new, valuable insights into your analytics