Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains
Optimizing process performance due to detecting deviations and undesirable patterns and their root-cause analysis, performance prediction and forecasting
Optimizing supply chain management with reliable demand predictions, inventory optimization recommendations, supplier- and risk assessment.
Proactively identifying the production process deviations affecting product quality and production process disruptions.
Monitoring machinery, identifying and reporting on patterns leading to pre-failure and failure states.
Identifying customer behavior patterns and performing customer segmentation to build recommendation engines, design personalized services, etc.
Identifying potential churners by building predictions based on customers’ behavior.
Advanced lead and opportunity scoring, next-step sales recommendations, alerting on negative customer sentiments, etc.
Forecasting project earnings, evaluating financial risks, assessing a prospect’s creditworthiness.
Identifying at-risk patients, enabling personalized medical treatment, predicting possible symptom development, etc.
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