Time Saved
Reduced analyst manual work by 75%
Accuracy
Prediction accuracy for key business metrics
Processing Speed
50x faster data processing vs. legacy system
Cost Reduction
Reduced operational analytics costs
Project Overview
Developed an AI-powered analytics dashboard that processes millions of data points in real-time, providing predictive insights and automated reporting for enterprise decision-makers.
The Challenge
DataSphere's analysts were spending 60% of their time on manual data processing and report generation. Their existing BI tools couldn't handle the volume and complexity of multi-source data, leading to delayed and often inaccurate insights.
Our Solution
We built a custom AI analytics platform with automated data pipelines, NLP-powered natural language querying, and predictive ML models. The dashboard provides real-time visualizations with drill-down capabilities and automated alert systems.
Tech Stack
Duration
4 months
“The AI dashboard QuantAeonix built is now the core of our decision-making process. Their ML expertise is truly world-class.”
Sarah Al-Rashid
VP of Engineering, DataSphere UAE
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