Analyzr

Analyzr: G2M Platform for Predictive Analytics is a no-code, end-to-end analytics platform that enables users to build, deploy, and operationalize machine learning models without writing code. It focuses on transparent, outcome-driven modeling, scalable infrastructure, and seamless integration with native systems to empower business users to derive actionable insights from diverse data sources. The platform emphasizes a modern tech stack, cloud scalability, and a single-tenant API approach to protect confidentiality while delivering real-time or near-real-time analytics.

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How Analyzr Works

1. Step 1 — Data Sources: Aggregate data from first- and third-party sources to serve as the foundation for the model.
2. Step 2 — Variables & Algorithm: Select variables to feed the model and choose the algorithm that provides the best fit for the data set.
3. Step 3 — Train Model: Encode the data, compute results, review outcomes, and refine variables or algorithm as needed.
4. Step 4 — Get Insights: Extract actionable insights and model outputs that can feed back into native systems for end users.

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Features

• No-code UI for rapid model building
• Local data encoding and per-user data control for security
• Scalable, cloud-based managed Kubernetes infrastructure
• Fully managed with uptime guarantees and dedicated service desk
• Dedicated single-tenant API with no sharing of confidential data
• Outputs designed to integrate back into native systems for end users

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How It Works (Technical Overview)

• Data Ingestion: Ingest and harmonize data from multiple sources.
• Modeling: Choose variables and algorithms; train models with automatic hyperparameter tuning options.
• Evaluation: Assess model performance, compare alternatives, and iterate as needed.
• Deployment: Deploy models to production with outputs accessible to business applications.
• Governance: Maintain transparency and accessibility of models to end users.

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Use Cases

• Clustering: Identify and group prospects or customers into micro-clusters with common traits for targeted actions.
• Propensity Scoring: Predict likelihood of buying or churn to optimize outreach and retention strategies.
• Regression & Forecasting: Leverage broader data sources to forecast trends and inform proactive decisions.
• A/B Testing Analytics: Systematically evaluate campaigns and programs with controlled comparisons to improve marketing effectiveness.

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Why Choose Analyzr

• Tailored predictive modeling aligned to business needs
• Transparent models that are accessible to end users
• Outcome-focused approach that keeps focus on decisions and results, not technology setup
• Modern, scalable architecture with robust security and privacy controls

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Use Cases & Benefits

• Accelerated model deployment without code
• Clear, explainable model outcomes for business stakeholders
• Seamless integration with existing systems to operationalize insights
• Scalable performance for growing data volumes and users