Case Study: LWT3 improves scalable bio-mechanical analytics and injury prediction with OpenText Vertica

LWT3 - Customer Case Study

LWT3 designs IoT devices and wearables to study human movement, but its pilot for work-related musculoskeletal disorders (MSD) needed a way to anonymize, aggregate, and analyze massive streams of sensor and health data at scale. The company turned to OpenText, using the Vertica Analytics Platform and VerticaPy with its WINGS wearable system to support real-time and batch analytics.

OpenText provided LWT3 with a flexible, high-performance analytics engine that can handle huge bio-mechanical data sets and grow with demand. The solution helped LWT3 prepare to analyze billions of sensor data points from 10,000 people, build predictive models, and generate best-practice guidance and injury warnings, with the goal of reducing MSD incidence, improving worker safety, and lowering healthcare and productivity costs.

LWT3

Paolo Belluco

Head of the R&D Department