Analytics

At Correlion AI, we provide end-to-end analytics solutions, from foundational business intelligence to advanced AI-driven analytics. Our expertise spans data visualization, operational analytics, predictive modeling, and machine learning, helping businesses turn raw data into actionable intelligence.‍

Some examples in action:

Custom Analytics Dashboards - We build dynamic, user-friendly dashboards—connected directly to your data warehouse—using tools like Looker, Tableau, Metabase, and others. Track essential KPIs, drill down into detailed metrics, apply intuitive filters, and clearly measure your business performance. Robust access controls ensure your teams see exactly what matters most to them.

Customer Targeting & Segmentation - We help you identify and target the right customers through advanced segmentation techniques, including Recency-Frequency-Monetary (RFM) analysis, churn prediction models, and clustering algorithms. Gain valuable insights into segment-specific revenue potential, profitability, lifetime value, and churn risks. We also automate segmentation to instantly categorize new customers—keeping your marketing precise and always up-to-date.

Here is the full list of our services:

Business Intelligence & Reporting

• ‍Dashboard Development – Creating interactive dashboards using Tableau, Power BI, Looker, or custom visualization tools.
• ‍Automated Reporting – Setting up scheduled reports to track key business metrics.
• ‍Operational BI – Delivering real-time insights for faster decision-making.

Performance Monitoring & Optimization

• ‍KPI Development & Tracking – Defining and monitoring key performance indicators aligned with business goals.
• ‍Process Optimization – Identifying inefficiencies and improving workflows using data-driven insights.

Predictive & Prescriptive Analytics

• ‍Demand Forecasting – Predicting future trends in sales, inventory, and resource utilization.‍
• Customer Behavior Prediction – Analyzing customer data for churn prediction, upselling, and segmentation.‍
• Anomaly Detection – Identifying fraud, quality control issues, or operational risks using statistical and AI-driven models.

Machine Learning & AI Integration

• ‍AI-Driven Insights – Applying machine learning for deeper analytics, including attribution modeling, campaign performance analysis, and customer segmentation.‍
• Custom Model Development – Designing and training tailored machine learning models for specific business challenges.‍
• ML Pipeline Automation – Automating model training, evaluation, and deployment for continuous improvement.