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When seen in the context of product design and development, the term "Engineering Intelligence" refers to a class of applications or technologies that gather, process, analyze and present data and information about engineering performance metrics. Those metrics help users make better engineering decisions to drive overall business performance.
Empowering decision-makers with relevant and actionable information is becoming a challenge in today's highly compressed product development cycles. The exponential increase in the volume of simulation and product engineering-related data has made it difficult to gain insight into project performance and isolate potential risks. Most of the time, product design and validation teams look at such data (multi-dimensional, simulation, test, design, manufacturing, warranty, piece cost, sales, etc) in two-dimensional spread sheets. HiQube's ground-breaking technology lets teams gain insight and extract key performance indicators (KPI) in an N-dimensional information space. This exceptional capacity provides a dashboard of information that supports insightful decision-making across the enterprise.
