Convergence Data

With over 20 years of experience, Convergence Data specializes in cleansing, structuring, and enriching data for your organization's most critical functions - from Engineering and Sourcing to drive findability, reuse, and spend rationalization to eCommerce and Aftermarket to generate revenue and give your products and service parts the data they need to make them easy to find, purchase, and share with downstream distribution channels. Our team's mission is to make your data findable, reusable, and sharable with other areas of your enterprise! We leverage our proven 8-step methodology to cleanse your data and unite it with other business divisions to reinforce your digital thread by: - Serving as your PIM system supporting Ecommerce and Aftermarket - On boarding acquisition data to your PLM and ERP - Driving spend rationalization for direct materials - Establishing governance process to drive the reuse of preferred parts - Integrating data into your companies digital thread Our end-to-end services and solutions are powered by Design for Retrieval (DFR), our SaaS engine that is leveraged for: - Establishing taxonomies to support your digital thread for parts and products - Workflows for onboarding legacy data, new items and future acquisitions - Data enrichment at scale with third party content integration and 200-person data factory team - Custom integration into digital thread data architecture including PLM, ERP, eCommerce Over the years, we've supported companies with complex data in many industries: - Aerospace & Defense - Industrial Manufacturing - HVAC - Electronics - Consumer Appliances - Retail and Sporting Goods - Oil & Gas - Biotechnology - Automotive Looking to learn more? Let's chat!

网站

https://www.convergencedata.com/

Convergence Data的外部链接

所属行业

软件开发

规模

51-200 人

总部

Orlando，Florida

类型

私人持股

创立

2002

领域

Data Cleansing、Part Classification、Part Reuse、Product Information Management、PIM、Service Parts、HVAC、SaaS Software、Taxonomy、Aerospace & Defense、Data Integration、Aftermarket、Spend Rationalization、Component Data、eCommerce、PLM、Windchill、Teamcenter、Data Management、Acquisition Onboarding和Product Lifecycle Management