This post is inspired by a definition found in the comments which followed Oleg's post and a discussion with a friend of mine who is PLM responsible at a small car manufacturing company.
“Processes are well defined routines that give organizations the outcomes they desire. However, a great deal of what companies do, such as innovation, is driven by a desired end result, which is what practices are all about. “
But what if we would focus on supporting “doing the right thing” instead? What would that mean? For me, that would mean focusing our effort on data, functions to manipulate, communicate and collaborate around it. Another critical role for a PLM tool would be to have capabilities to analyze that data, helping workers make informed decisions which would allow them to “do the right thing”.
Are we on to something? What about "best practice" processes? Could we say that we can deliver value without them? Can we do this without being banged in the head by sales and marketing saying that we can't sell without a out of the box process support?
To not "just" become a good data management tool we would need to wrap the whole thing with communication and analytic capabilities allowing the user to collaborate and making “the right” decisions.
What would we have then?
You could also rephrase this to "processes are about doing things the right way”; dictating how work should be done. Focusing on the what instead, we would allow decisions by knowledged workers and IT automation determine much of the how.
To generalize, traditional PLM implementations are focused on data capturing and processes (according to the above definition). Capturing data in a common repository enables transparency, access and being able to connect the dots (data) in new ways. Usually, we then cover the data with a process layer, targeted for effective and repetitive management of that data.
But what if we would focus on supporting “doing the right thing” instead? What would that mean? For me, that would mean focusing our effort on data, functions to manipulate, communicate and collaborate around it. Another critical role for a PLM tool would be to have capabilities to analyze that data, helping workers make informed decisions which would allow them to “do the right thing”.
Are we on to something? What about "best practice" processes? Could we say that we can deliver value without them? Can we do this without being banged in the head by sales and marketing saying that we can't sell without a out of the box process support?
What if we state that "best practices" are on data level, basically how we choose to model the reality in a smart way? But to not become a consolidating integration hub, we would have to have tools to manage that data accordingly. With decoupled features we then address "best practices" of managing data without "tying it down" with processes.
To not "just" become a good data management tool we would need to wrap the whole thing with communication and analytic capabilities allowing the user to collaborate and making “the right” decisions.
What would we have then?
- A replacement to mail, excel and other data silos, which was exactly the thing that my friend at the car company was asking for; a tool which would allow him to still have the required flexibility but with transparency and the synergy of previously disconnected data sets. This would give him the means to reach the desired result in a perhaps unstructured way but secured via data and supported through communication and visual analytics. Wouldn't that add value? Wouldn’t that create an innovation pull as we then focus on "doing the right thing" rather than paving complicated cow paths?
Robert Wallerblad
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