Predictive Analytics

Plan for tomorrow with the power of your data today.

Harness your data with forecasting and machine learning to anticipate trends, optimize operations, and make confident decisions. From small-scale models in Python or Excel to enterprise-ready solutions with Google Cloud BigQuery ML, we design predictive systems that scale with your business.

Examples

• Predict monthly sales trends for a retail company using Python time-series models.
• Build customer churn prediction model for a subscription business, integrated into dashboards.
• Analyse marketing campaign effectiveness by combining sales data with open datasets like census demographics.
• Develop a truck profitability model for a logistics company, using purchase price, lease agreements, mileage, revenue per vehicle, and maintenance costs to forecast long-term profitability.

FAQs

Q: Can predictive analytics work with excel data?

A: Absolutely. For simpler implementations we can build lightweight models in Excel or Python with existing libraries and formulas

Q: Which algorithms do you use?

A: We use regression, classification, clustering, and machine learning models depending on the solution.

Q: Do you work with Google Cloud BigQuery ML?

A: Yes, BigQuery ML allows us to run machine learning directly inside your database without exporting data, enabling fast, scalable predictions for large datasets.