EXALEAD reveals the hidden information intelligence needed to understand, participate, and act.

 

EXALEAD enables organizations to gather, align and enrich Big Data—whether internal or external, structured or unstructured, simple or complex—and to deliver that information the way users want to receive it. Our solutions transform large volumes of heterogeneous, multi-source data into meaningful, real-time information intelligence to help users improve business processes and gain competitive advantage.

KEY FEATURES

Companies worldwide rely on EXALEAD’s data discovery solutions to search, find, and manage their information assets for speedy, smart decision-making, real-time unified data access, and improved productivity.

EXALEAD OnePart

Find and reuse existing parts, 2D/3D designs and related documentation.

EXALEAD OnePart is a packaged business discovery application that facilitates reuse of parts, designs, specifications, standards, test results and related data for engineering, manufacturing, and procurement activities. Leveraging the proven technologies of EXALEAD CloudView, OnePart locates information from multiple sources and makes it available instantly, saving time and money across the enterprise.

EXALEAD OnePart

Dassault Systémes’ EXALEAD OnePart allows designers and engineers to reuse parts, designs, specifications, standards, test results and other relevant data for engineering, manufacturing and procurement activities. It utilises prove web semantics, analytics and Big Data management technologies to locate information from multiple sources and make it available instantly.

Designers and engineers are often making decisions that can impact a company’s overhead by introducing significant costs. Engineers are designing more new parts every day, why aren’t they reusing similar parts that already exist within the company? Because searching for the parts and related information is time consuming and is potentially prone to errors.

EXALEAD OnePart empowers designers and engineers to search through existing parts from multiple data sources allowing them to reduce the number of new parts in development which in turn decreases product development times and costs.

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