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Predictive Engineering Analytics Series - Part 2

Track: Business Process Connection

Session Number: 170201
Date: Thu, May 11th, 2017
Time: 10:00 AM - 10:30 AM
Room: 111-112

Description:

Be sure to add Program Planning & Governance Series Parts 1-6 to your agenda to make the most of the full day series.

Leveraging Product Development Analytics (45 min)
Many companies collect a wealth of data across functions and the value chain, but do not effectively transform it into actionable insights for their Product Development activities that drive significant value for on-going and future products. By leveraging advanced technologies, implementing a smart data model, and adhering to agile innovation principles, engineering organizations can shift to making insight-driven design decisions. These capabilities will generate design insights from traditionally disparate activities across the life cycle such as testing, simulation, maintenance, and actual customer usage. These design insights can be used to improve design objectives, predict failure modes, and better deliver the customer experience.

Sub-Categorization: Predictive Engineering Analytics
Session Type: Interactive Lecture

Related Industry: Aerospace & Defense, Automotive & Transportation, Consumer Products and Retail, Electronics and Semiconductor, Energy and Utilities, Industrial Machinery & Heavy Equipment, Life Sciences, Marine, Medical Devices & Pharmaceuticals, Other, All Industries
Learning Objectives: - Product Development Analytics to support multiple facets of the PD lifecycle
- How to leverage analytics to drive Product Development strategy
Applicable Software: Teamcenter Design Management, Teamcenter PLM Process Execution (Change/Program/Project/Portfolio, Teamcenter Product Cost Management, Teamcenter Reporting & Analytics, Teamcenter Simulation Data and Process Management
Pre-requisites: -Product / Portfolio Strategy
Sub-Categorization: Predictive Engineering Analytics
Session Type: Interactive Lecture

Related Industry: Aerospace & Defense, Automotive & Transportation, Consumer Products and Retail, Electronics and Semiconductor, Energy and Utilities, Industrial Machinery & Heavy Equipment, Life Sciences, Marine, Medical Devices & Pharmaceuticals, Other, All Industries
Learning Objectives: - Product Development Analytics to support multiple facets of the PD lifecycle
- How to leverage analytics to drive Product Development strategy
Applicable Software: Teamcenter Design Management, Teamcenter PLM Process Execution (Change/Program/Project/Portfolio, Teamcenter Product Cost Management, Teamcenter Reporting & Analytics, Teamcenter Simulation Data and Process Management
Pre-requisites: -Product / Portfolio Strategy