ultimate management

An expert is someone who knows the weaknesses of the system.

“Knowledge management” consistently fails because of romanticized notions of knowledge — and the principal–agent problems that go with them.
As long as you don’t dare to call the child by its right name, attempts at improvement will only reproduce more of the same, dressed up in ever-new disguises.

With increasing digitization, organizations have shifted their focus from knowledge to (supposedly less demanding) data, thereby trying to turn the organization of the organization from its head onto its feet.

But data management can be just as problematic as knowledge management — sometimes even more so.

So what is the crucial starting point for data-focused organization and governance?

Data integration.

Yet this can be even more complex than HR-only–based organization and presents considerable challenges, with a wide spectrum of inadequate solution attempts:
On the one side, »integrated« standard software reaches the limits of its standards sooner rather than later, depending on the project investment you are willing to burn.
On the other side, trying to integrate non-standard data processing indirectly via its metadata will mostly remain incomplete, can also get very expensive and ultimately leads to new Rube Goldberg »meta«-organizations, with a tangle of new problems (and substantial profits for your agents).

The fundamental integration problem, however, can be solved simply and dominantly with vertically integrated network data structures. Effective solutions do not even require metadata integration, since data networks can be controlled directly and dynamically.
Perfect solutions enable radically simple, loss- and collision-free control of dynamic data networks. Ultimately, there’s no more need for clowning around organizational design fads: Perfectly integrated data networks support any conceivable organizational design changes — in real time and at no cost on system level.