Predictive & Prescriptive Analytics Services
Our experts implement smart methodologies including machine learning and forecasting to help you predict future business outcomes, known as predictive analytics. Our extensive experience and knowledge in the realm of big data and data science includes statistical models and analysis, machine learning, predictive models, and data mining.
Predictive modeling can be applied to prevent customer churn, make cost savings adjustments, detect fraudulent activity and many other applications across industries. Here are some examples of how we deploy predictive and prescriptive capabilities across the industries we serve:
- Banking & Finance – Anomaly detection powered by predictive models and machine learning is used by financial organizations to detect fraudulent transactions and to predictive likely outcomes on loan portfolios to medicate risks. Advanced analytics also allows assessing the customer lifetime value and applying preventive activities to increase customer loyalty.
- Healthcare – With millions of data records every year, the quantity of data available in the medical field creates extremely accurate models. Medical diagnosis is one of the best examples of predictive modeling in healthcare, which has already experienced major changes as a result.
- Supply Chain & Logistics – Predictive modeling can optimize the route that delivery vehicles take to shorten the distance traveled, improve fuel efficiency, and reduce delivery times, boosting customer satisfaction. Logistical applications of predictive modeling can have a significant impact on fuel costs and maintenance, easing the burden of logistics planning and applying cost-savings adjustments.
- Hospitality – Advanced analytics can be applied to accurately forecast customer lifetime value, predicting which customers will spend the most at your stores, hotels and casinos over the next five or ten years. With enough relevant data, our predictive model can provide significant insight to provide targeted offers, loyalty programs and VIP services.
- Aviation – Global aviation manufacturers and carriers strive to improve their fuel efficiency for financial and environmental reasons, looking to technology and data to reduce carbon emissions. With our built-in machine learning algorithms, we can collect and analyze flight data; leveraging distance and altitudes, aircraft type and weight, weather, occupancy to estimate the optimal seating structure to save money on fuel and estimate the duration of a specific flight.
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