Analyzr Introduction

Analyzr is a no-code machine learning platform that simplifies predictive analytics and data-driven decision making for B2B sales and marketing teams.
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What is Analyzr

Analyzr is a software-as-a-service offering by G2M Insights focused on making machine learning analytics simple and secure for midmarket and enterprise customers. It provides a streamlined solution for B2B sales and marketing predictive analytics, allowing business analysts to build propensity, regression, and clustering models without requiring extensive data science expertise. Analyzr connects data sources, predictive models, and production systems to enable real-time predictive analytics.

How does Analyzr work?

Analyzr works in four main steps: 1) Select Data Sources - aggregate data from first- and third-party sources, 2) Pick Variables & Algorithm - select variables and choose the best-fit algorithm, 3) Train Model - encode data and compute results with the ability to refine as needed, 4) Get Insights - generate actionable insights and model outputs. The platform provides a no-code user interface for building machine learning models quickly. It handles the technical engineering aspects so users can focus on uncovering business insights. Analyzr offers features like clustering to identify growth opportunities, propensity scoring to predict customer behavior, regression for forecasting, and A/B testing to assess marketing effectiveness.

Benefits of Analyzr

Analyzr provides several key benefits for businesses. It simplifies complex machine learning processes, making predictive analytics accessible to teams without data science expertise. The platform is secure, scalable, and reliable, with options for dedicated tenancy and local data control. By enabling data-driven decision making, Analyzr helps companies improve targeting accuracy, conversion rates, and marketing effectiveness. It allows businesses to uncover growth opportunities, forecast trends, and optimize outcomes proactively. Overall, Analyzr empowers organizations to leverage the power of machine learning for better business results without the need for extensive technical resources.

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