Data Use Scenarios

Product development. By labeling the success of every product offering, we can analyze product feature impact and provide insight for product development.

Predictive maintenance. We can predict equipment optimal life and failure based on structured data (sensor data, equipment year, make, and model) and semi-structured data (log entry, error messages, etc.).

Production optimization. We use big data to help manufacturers understand the flow of items through their production lines, and reveal which areas are causing delays.

Operational efficiency: We help manufacturers anticipate future demands and proactively respond to customer feedback.

Inventory optimization. By analyzing the trend and seasonality of past sales data, we can predict future demand. We also do margin analysis to help you decide each product's profitability. The results can help you improve your current stocking strategy and achieve a larger inventory turnover.

Customer experience and Market segmentation. All customers are valuable. But some are more valuable than others. We can cluster your customers according to their demographic data, behavior, and spending patterns, so you can deliver personalized offers, reduce customer churn, and proactively handle customer issues.

Pricing analytics. End-to-end profit and margin analysis can help with identifying areas where profits may be leaking. We can help you find the true profitability of your products and services and the potential for any future opportunities.

Supply chain management. Using big data, we can build both descriptive and predictive analytics models that help you reduce the variation in restocking, negotiate pricing, and optimize the ordering process as a whole.

Developing new therapies & innovations. We use big data to identify potential strengths and weaknesses in trials or processes. Using a mix of historical, real-time, and predictive metrics and data visualization, we help healthcare organizations to pinpoint their patients’ health issues and design personalized treatments.

Staffing management: We analyze time series of admission data and build machine learning algorithms to predict future admission trends, so any shift manager would know how many people to put on staff at each department at any given time period.

Supply chain management. We can build both descriptive and predictive analytics models that help health organizations reduce the variation in supplies, negotiate pricing, and optimize the ordering process.

Programming and data literacy. We provide workshops to help everyone to benefit from data and technology. We offer Introduction to Python (3-12 grades), Statistics and Data Visualization, Machine Learning Basics. We are always on the outlook for collaboration to deliver customized workshop/ training courses to our community.

Free consultation. We offer free consultations to researchers/organizations who conduct Environmental/ Ecology studies and make Earth a better place for future generations.