PLI is an evolution of PLM focused on mining insights from product development data that has accumulated within PLM environments and other integrated business systems.
Powered by advanced analytics and machine learning techniques, PLI helps organizations identify patterns, form predictions and prescribe improvements to product development metrics like cycle time, change frequency, rejection rate, quality, performance and manufacturability.
PLI derives actionable insights from enterprise system data to address core business needs, helping our clients gain understanding, reliably plan and forecast, and continuously improve results.
We offer pre-configured PLI apps to add rapid value, custom app development, and Design for Insights services to clean and prep your data for analytics.
PLI helps innovators:
These pre-configured PLI apps add rapid value, with fixed-price services that include implementation, support for custom data models, development of custom reports and mashups, and model evaluation.
PLM data is available, plentiful and structured, making PLM a logical starting point for many companies, with clear benefits in R&D and new product development. Pre-configured apps include:
PLM System Adoption
Design Re-use and Duplication
For companies with structured data in other enterprise systems, PLI can provide value to additional teams, including manufacturing, supply chain and service. Pre-configured apps include:
Product Performance with IoT
Implementing PLI to address your unique specific business challenges is quick and easy. Our accelerated approach includes:
Complimentary one day workshop to review needs, explore use cases, and identify specific opportunities to prove value
Proof of Value
Two week project to rapidly demonstrate insights from your data, and create a roadmap for business value including ROI and scaling approach
Minimum Viable Solution
Eight to ten week engagement to build out the proof of value into a functional solution, including a use case definition, data preparation, model development and user training
Discrete manufacturers and R&D professionals have long viewed product lifecycle management (PLM) as a means to enhance manufacturing and design process management, data integrity and digital mockup. While these capabilities serve as a baseline to…
With the right strategy, industrial manufacturers can capitalize on the opportunity to generate business insights from data, capturing sustainable economic value. Here’s an example of a use case.
Medical devices are essential to our modern society. But the companies who make them face strict regulatory, quality and safety standards. To succeed, they must constantly innovate, drive down costs and navigate complex regulatory pathways.
Siloed data. Unstructured data. Lack of connectivity. Lost opportunity. With all the data being generated and collected, internally and on the Web, machine learning can address the challenge of connecting the dots, drawing insights, and making…