DataHat: AI Analytics
Empowering businesses with actionable data intelligence through advanced machine learning models and predictive analytics.
Duration
9 months
Team Size
8 specialists
Role
Data Engineering & UI
Stack
10TB/day
Data Processed
94%
Prediction Accuracy
5x
Client ROI
50+
Models Deployed
The Challenge
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Clients drowning in unstructured data with no insights
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Long turnaround times for manual data reporting
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Difficulty in visualizing complex multi-dimensional data
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Need for automated anomaly detection in real-time streams
The Solution
- ✓
Built a scalable data ingestion pipeline using Apache Kafka
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Developed custom ML models for predictive churn and demand forecasting
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Created an interactive, drag-and-drop dashboard for non-technical users
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Implemented automated alert systems for data anomalies
Our Approach
Data Audit
Comprehensive assessment of data quality.
Pipeline
Building robust ETL processes.
Modeling
Training and validating custom ML algorithms.
Visualization
Translating numbers into visual stories.
"DataHat turned our raw data into our most valuable asset. The insights provided are now central to our strategy."
Sarah Jenkings
CEO, DataHat AI