CURVE ADDICT

DATA ANALYTICS & SCIENCE SOLUTIONS
Decoding Data, Delivering Insights

A London-based analytics company specializing in advanced data science, predictive modeling, and business intelligence solutions. We transform complex data into actionable insights, helping businesses navigate uncertainty and drive growth through data-driven decision making.

Company Information

Managing Director MR JOHN-JOE VOLLANS
D-U-N-S® Number 226194589
Registered Office 14/2g Docklands Business Centre
Address 10-16 Tiller Road, Docklands
Postcode E14 8PX
Analytics Operations Center Strategic analytics hub in London's Docklands business district
Serving clients across the UK and Europe with cutting-edge data science solutions

Mastering the Data Curve

CURVE ADDICT LTD specializes in extracting meaningful insights from complex datasets. We combine statistical rigor with business acumen to deliver analytics solutions that drive measurable results and create competitive advantages in data-rich environments.

Analyze Your Data

Advanced Analytics Services

Data science solutions for informed decision making

Predictive Analytics & Modeling

Advanced statistical modeling and machine learning solutions for forecasting, pattern recognition, and predictive insights.

We build models that anticipate trends, identify opportunities, and mitigate risks before they impact your business.

Modeling Capabilities:

• Time series forecasting for sales, demand, and financial planning

• Classification algorithms for customer segmentation and risk assessment

• Regression models for price optimization and impact analysis

• Anomaly detection for fraud prevention and quality control

• Ensemble methods and deep learning for complex pattern recognition

  • Sales and demand forecasting
  • Customer lifetime value prediction
  • Churn prediction and prevention
  • Risk assessment and scoring
  • Price optimization models
  • Market trend analysis
  • Real-time prediction systems

Model Development Process:

We follow a rigorous model development lifecycle including data preparation, feature engineering, model selection, validation, and deployment. Our models are built for both accuracy and interpretability, ensuring stakeholders can understand and trust the predictions.

Python/R TensorFlow/PyTorch Scikit-learn XGBoost/LightGBM Time Series Analysis MLOps Model Deployment

Data Engineering & Infrastructure

Robust data pipelines and infrastructure solutions for collecting, processing, and managing large-scale data.

We build the foundation for analytics excellence with scalable, reliable data systems.

Engineering Services:

• Data pipeline design and implementation for real-time and batch processing

• Data warehouse and lake architecture for centralized analytics

• ETL/ELT development for data integration from multiple sources

• Cloud data infrastructure on AWS, Azure, or Google Cloud

• Data quality frameworks and monitoring systems

  • Real-time data streaming
  • Batch processing pipelines
  • Data warehouse design
  • Data lake implementation
  • Cloud migration
  • Data quality management
  • Infrastructure automation

Infrastructure Philosophy:

We believe that great analytics requires great data infrastructure. Our engineering solutions are built for scale, reliability, and maintainability, using modern tools and best practices to ensure data is accessible, trustworthy, and ready for analysis.

Apache Spark AWS/Azure/GCP Snowflake/BigQuery Apache Kafka dbt/ Airflow DataOps Infrastructure as Code

Business Intelligence & Visualization

Interactive dashboards and reporting solutions that transform complex data into clear, actionable insights.

We create visualizations that tell compelling data stories and drive business decisions.

BI Solutions:

• Interactive dashboards for real-time business monitoring

• Automated reporting systems for stakeholders at all levels

• Data storytelling with narrative visualizations

• Self-service analytics platforms for business users

• Mobile BI for insights on-the-go

  • Executive dashboards
  • Departmental reporting
  • KPI tracking and monitoring
  • Interactive data exploration
  • Automated report distribution
  • Data storytelling
  • Mobile BI applications

Visualization Approach:

We combine principles of data visualization, user experience design, and business understanding to create interfaces that are both beautiful and functional. Our dashboards are designed to answer specific business questions and support data-driven workflows.

Tableau/Power BI Looker/ Superset D3.js/Plotly React Dashboards Data Storytelling UI/UX for Data Mobile BI

Featured Analytics Project

Predictive Maintenance Platform

Industrial Equipment Predictive Maintenance

We developed a predictive maintenance platform for a manufacturing client that reduced equipment downtime by 65% and maintenance costs by 40%.

The system used IoT sensor data, machine learning algorithms, and real-time analytics to predict equipment failures before they occurred.

  • 65% reduction in unplanned equipment downtime
  • 40% decrease in maintenance costs
  • Real-time monitoring of 500+ IoT sensors
  • Failure prediction with 92% accuracy
  • Automated maintenance scheduling
  • Integration with existing ERP systems
  • Mobile alerts for maintenance teams

Technologies & Methods Used

IoT Data Streaming
Time Series Models
Random Forest
Apache Spark
Azure IoT Hub
Python/Scikit-learn
Power BI Dashboards
Real-time Alerts
ERP Integration

Project Performance Metrics

65% downtime reduction • 40% cost savings
92% prediction accuracy • 500+ IoT sensors
24/7 real-time monitoring • 3 months ROI
100% system uptime • £2.1M annual savings