Traditional reports only tell you "what happened". Our solution answers "why it happened" and "what comes next" — prediction analytics driven by Machine Learning, turning your business data into actionable insight.
Integrable Data Sources
Prediction Accuracy
Real-time Dashboard
From data collection, cleaning and modelling to visualisation — an end-to-end service. No programming needed.
Integrates multi-source data from ERP, CRM, POS, Google Analytics, social media and more. Automatically handles missing data, outlier detection and format standardisation.
Using XGBoost, Random Forest, Neural Network and other advanced algorithms to build custom models for sales forecasting, churn warning and inventory demand prediction.
RFM analysis, cohort analysis and customer lifetime value calculation. Segmentation + clustering to pinpoint high-value customer groups.
Interactive dashboards with auto-update. KPI tracking, trend detection and anomaly alerts — viewable from the boss's phone.
Weekly/monthly auto-generated analysis reports highlighting key changes and actionable recommendations. No more digging through numbers yourself.
Design experiment frameworks, statistical validation and continuous optimisation. From pricing to marketing campaigns — decide with data, not guesswork.
Not a black box. Here are the actual tools and frameworks we use, proven on real projects.
The standard data science language: pandas, scikit-learn, TensorFlow
The king of gradient boosting — a Kaggle-champion-level algorithm
Deep Learning for complex pattern recognition
Enterprise-grade dashboards + visualisation
AWS/GCP automated data pipelines, updated daily
PostgreSQL, MongoDB, BigQuery — pick the right tool
Different industries have different pain points. Here are real case types we have worked on:
Using historical sales data + seasonality + weather + holidays and other external factors to build demand forecasting models.
Analyse historical booking data to predict peak hours and no-show rates, optimising doctor scheduling.
Credit scoring, fraud detection and client investment preference analysis.
Integrate traffic data, weather and order volume to optimise delivery routes and warehouse layout.
Collaborative filtering + content-based recommendation for personalised product suggestions.
Analyse historical project data + market material prices to forecast total project cost and completion timeline.
How are we different from a typical data consultancy?
We run our own ML systems for horse racing and football prediction — AUC 0.763, hit rate 56.8%. Not just theory.
A 100% local team that understands your business context. Not a foreign template copy-pasted.
From briefing to delivery, entirely in Cantonese. We translate technical jargon into business language for you.
You don't need to be a Fortune 500 to leverage data. We quote by project scope — no hidden costs.
Tell us about your business — a free initial consultation to understand your data potential.
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