Data Science
Our data scientists have years of experience modeling real world scenarios and analyzing complex data sets. We can help you find the solutions you need in your data.
Data Modeling
Network/Graph
Clustering
Correlations
NLP
Event Detection
Predictive Analysis
Data Modeling
Using your data we describe real world scenarios with mathematical models useful for event detection, prediction, sentiment analysis, and running simulations.
Network/Graph Analysis
Correlate is backed by a Graph database that lets us run complex network analysis. For example, we use this feature to show you how the influencers in your networks are connected with you and each other.
Clustering
Using a custom implementation of the LDA algorithm, we group together elements of your data set that are similar.
Clustering Correlations and Relationships
The platform can help you identify variables in your data in relation to other variables.
Natural Language Processing (NLP)
We use NLP to programmatically find meaning in the vast array of social and other language content.
Event Detection
With historical data we can model prior events and indicate when a similar event appears to be occurring.
Predictive Analysis
As with event detection, with historical data we can model prior events. For prediction we probabilistically determine the likelihood of recurrence in specific scenarios or with current real world data.