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What is a “homegrown” product data system? Most manufacturing organizations have some kind of database or datawarehouse that holds lots and lots of company information. It’s likely pulling data from your ERP, multiple spreadsheets, multiple datawarehouses, and more. It may or may not have a user interface.
What is a “homegrown” product data system? Most manufacturing organizations have some kind of database or datawarehouse that holds lots and lots of company information. It’s likely pulling data from your ERP, multiple spreadsheets, multiple datawarehouses, and more. It may or may not have a user interface.
Still, the underlying premise is the same – in a post-digital transformation environment, companies need the ability to leverage a wide variety of technology components to support their business: IoT, cloud services, mobile devices, SaaS software, and traditional IT systems. Embedded and Edge Processing of Streaming Data.
These sit on top of datawarehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. It is organized to create a top-down model that is used for analysis and reporting. I understand that I can withdraw my consent at any time.
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