Predictive Model for Sales:

A client was struggling to accurately predict sales volumes, leading to frequent inventory shortages and lost revenue. We developed data analytics to help them build a predictive model that analyzed historical sales data and identified key factors influencing sales volumes. The model helped the company forecast sales with much greater accuracy, resulting in better inventory management, reduced waste, and increased revenue.

Data Visualization for Healthcare:

A client, a healthcare provider, was looking to improve patient outcomes and reduce costs through data analysis. We developed a data project to create interactive visualizations that identified trends and patterns in patient data. The visualizations helped identify cost-saving opportunities, such as reducing readmission rates, and improving patient care by identifying best practices and treatment approaches.

Fraud Detection for Financial Services

A financial services company was concerned about the risk of fraud in its operations. We developed a fraud detection system that used machine learning algorithms to analyze transaction data and identify anomalous behavior. The system helped the company detect and prevent fraud before it caused significant losses.

Data Analytics in Odoo

A manufacturing company was using Odoo to manage its production process but needed help identifying inefficiencies. We developed a data project to create visualizations that helped them identify bottlenecks and inefficiencies. We created interactive dashboards that allowed the company to drill down into specific areas and identify issues causing delays or waste. Through the project, the company identified areas for improvement, such as optimizing inventory levels, reducing production bottlenecks, and improving quality control. These changes resulted in reduced waste, increased efficiency, and improved profitability

Power BI Embbeded

A startup developing a web platform for e-commerce businesses hired us to develop a data visualization project. Using Microsoft Power BI, we created reports that analyzed key metrics such as sales volume, revenue, and customer behavior. The report included interactive visualizations such as tables, charts, and maps. After completing the report, the startup incorporated it into its platform, providing users with valuable insights and analysis about its business. This helped the startup differentiate its platform from the competition and drive user engagement, retention, and revenue growth.