EXALEAD
Reveal the hidden information intelligence needed to understand, participate, and act.
Reveal 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.
Designers and engineers regularly make critical decisions that can introduce significant costs to your company. Engineers are designing more and more new parts every day. Why don’t they just find and reuse similar or equivalent parts that already exist inside your company’s legacy data assets? Because searching for parts and related information is very time-consuming and potentially error-prone today.
Without an ultra-efficient tool to rapidly find and compare similar parts hidden inside data sources and silos scattered throughout the company, design engineers simply choose to recreate the part rather than spend unproductive time searching. Although they may not realize it, creating new parts impacts the bottom line. Substantial time and costs are incurred if you need to acquire or produce new parts, leading to more production procedures, quality controls, and inventory into stock.
Compile, analyze and uncover the value of “product-generated” data, combined with customer information and aggregated data found in any systems that may be used during product support and operations, creating new services and enhancing competitiveness and customer satisfaction.
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Dassault Systèmes has developed the best of analytics and made it applicable to PLM while leveraging the richness and the full potential of product design and manufacturing processes.
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Sourcing & Standardization Intelligence applications allow users to regroup and classify similar parts together, compare them side by side and select the preferred part for reuse. Relying on past information, the applications reveal knowledge for Sourcing and Procurement to optimize their orders. Because the reuse preference order of searched parts is embedded in their tool of choice, designers are driven to reuse more parts than ever.
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