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Analyzr Features

Analyzr's Core Features

Simple and quick machine learning model building with a no-code user interface.

Data encryption and local user data control for enhanced security.

Cloud-based scalability with a managed Kubernetes cluster.

Fully managed platform with guaranteed uptime and dedicated service desk.

Outputs that feed back into native systems for end user accessibility.

Analyzr's Use Cases

Clustering: Uncover potential growth opportunities or identify at-risk groups by clustering prospects and customers based on shared traits.

Propensity Scoring: Improve accuracy in targeting and conversion rates by predicting propensity to buy or churn.

Regression: Generate reliable forecasts to optimize business outcomes and make proactive decisions.

A/B Testing: Assess the effectiveness of marketing campaigns and programs by comparing control and test groups.

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