Pop quiz, hotshot. There’s PLM data on a bus. Once more than 5 people interact with that data it becomes important. But if that data isn’t integrated properly, it blows up. What do you do? What do you do? We’ve long lamented about PLM complexity as a limiting factor to adoption, including the requisite wrangling to get product data moving efficiently across an enterprise in a loose federation of heterogeneous IT systems. For the most part, this has been the sole domain of data architects and development teams, wrangling robust SOA services onto ESB highways among a bewildering hodgepodge of enterprise data platforms, APIs, and disparate data models. But hopefully things get easier from here. One of the more interesting promises of moving PLM technology forward and into the cloud is handing over the integration data modeling keys to the nontechnical business side. Let’s try to get through this without shooting any hostages.
