Product Data and everything related to it is a complex topic. As I have written multiple times on this blog, product data resides in multiple places in a manufacturing company. Multiple places can be represented by sources such as multiple databases, files, systems, etc. Unfortunately, all these sources lead to an increase in complexity.
I was reading an article, Exceeding the benefits of complexity? A fractal model for the social business era written by Dion Hinchcliffe, who often speaks and writes about transformations happen with business software these days. Have a read and pay attention to the following picture:
Dion’s talk about the future transformation of complex system into a simpler business stack is an important one. The following passage resonated with some of the ideas we are baking at Inforbix:
But technical discussions obscure the very important truths about what we’ve learned in the interim between the “aha” moment when we realized that what was happening so successfully “out there” was something that would make us just as successful inside our organizations, for internal and customer-facing needs both. After all, this holistic ‘integratedness’ — usually triggered via our connections to the Internet — was a part of our businesses increasingly and we simply had to realize this and engage as Internet natives.
We very much agree with the paradigm of “internet natives” as another notion and approach to work with product data in manufacturing organizations. Our approach at Inforbix is to simplify the work involved with product data by enabling a network effect between multiple elements of product data and, as a result, multiple systems.
Here’s a short video that illustrates how Inforbix enables a network effect of inter-related data to simplify the work involved with accessing revision and BOM data from CAD files:
Conclusion. It’s my opinion that the simplification of the product data management infrastructure leads to the creation of simpler systems with lower total cost of ownership. Self-organization and “automatization” of product data acquisition processes will play a dominant role. We would like to hear what you think about our approach. Speak your mind, please and comment.