By integrating exploration & prediction, the Flek Machine empowers users to discover actionable insights in their data.

Explore & Predict

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Analytics within an enterprise can be generally categorized into two: exploration and prediction. It is often the case that data scientists and statistician perform exploratory and predictive analytics on their data using a diverse set of tools and ML techniques.

However, with Flek they can use a single probabilistic framework to tackle these complex tasks. They can also utilize its unified machine learning pipeline to interact with the stored model, query for analytics, mine interesting associations and rules or make predictions against fresh data on the fly.

Examples

Let's suppose a product manager wants to explore customers' sentiment; or a loan manager wants to categories new loan applicants based on their riskiness; or maybe a healthcare analyst who wants to predict which patients may suffer from diabetes given their medical history.

Flek makes it simple to conduct these tasks. For example, users can easily dive into details, uncover probabilistic patterns or spot anomalies. They can also get more insight by running predictions on new data unseen before or by running in-depth exploratory data visualization.