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Data Science paired with technical innovations allow for advances across multiple disciplines within the medical field

Data Science and automation has proven to improve the accuracy and viability of financial data, forecasting, and minimizing human error

Data Science can improve processes and predict employee attrition rates by implementing automation workflows with machine learning models to understand employee metrics and turnover

 This effort includes the measurement, collection, and quantification of biometric data collected from a curated suit of wearables and the performance of day-to-day tasks, physical skills training, and fitness conditioning. This methodology supports the development of a holistic view of the health of an organization's force and ensures a threshold of health performance is established for individuals prior to performance. This capability would monitor the holistic health of the organization.

This Use Case focuses on cognitive neuroscience and the development of measures that quantify cognitive load and impact. This would be a passive collection of data and would trace end user’s cognitive load across applications and functions to study the organization's impact on cognition and to help address Cognitive decline due to cognitive burnout.

This Use Case utilized measures of performance and measures of effectiveness to evaluate the effectiveness and efficiency of team objectives to allow for changes in performance or the modification of performance objectives in alignment with the organization's needs

This use case required tech R&D to create motion sensors to count the foot traffic passing brick and mortar businesses to determine the opportunity vs actual customer base. Foot traffic data was ingested and enriched to include businesses' marketing strategy, social media presence, and geolocation demographics to develop a diverse data set. Machine learning was then applied to determine gaps within marketing and business strategies to improve customer growth.