Template:M intro design System redundancy: Difference between revisions

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the range of things on which we must still rely on meatware has diminished. Many [[thought leader]]s<ref>The most prominent is [[Ray Kurzweil]], though honourable mention to DB’s former CEO John Cryan and, of course, there is the redoubtable [[Richard Susskind|Suss]]. </ref> foretell it is only a matter of time until there are none left at all.
the range of things on which we must still rely on meatware has diminished. Many [[thought leader]]s<ref>The most prominent is [[Ray Kurzweil]], though honourable mention to DB’s former CEO John Cryan and, of course, there is the redoubtable [[Richard Susskind|Suss]]. </ref> foretell it is only a matter of time until there are none left at all.
====Sciencing the shit out of business====
====Sciencing the shit out of business====
The [[metaphor]] works best if we consider the workforce to be carbon-based Turing machines. Such a distributed network is best optimised centrally, and from the place with the best view of the big picture: the top.<ref>curiously, this is not the theory behind a distributed network of computers, which is rather [[end-to-end principle|controlled from the edges]]. But still.</ref> All relevant information can be articulated as [[data]] — you know: “[[Signal-to-noise ratio|In God we trust, all others must bring data]]” — and, with enough data everything about the organisation’s present can be known and its future extrapolated: this is the promise of science and technology.<ref>It isn’t. It really, really isn’t. But still.</ref>  
The [[metaphor]] works best if we consider the workforce to be carbon-based Turing machines. A [[distributed network]] of such automatons is best optimised centrally, from the place with the best view of the big picture: the top.<ref>Curiously, this is not the theory behind distributed computing, which is rather [[end-to-end principle|controlled from the edges]]. But still.</ref> All relevant information can be articulated as [[data]] — you know: “[[Signal-to-noise ratio|In God we trust, all others must bring data]]” — and, with enough data everything about the organisation’s present can be known — the more data you have, the more you can converge on the essential truth of the matter — and its future extrapolated: this is the promise of science and technology.<ref>It isn’t. It really, really isn’t. But still.</ref>  


The organisation’s permanent infrastructure should be honed down and dedicated to its core business, and its peripheral activity — [[operation]]s, [[personnel]], [[legal]] and ''~ cough ~'' strategic [[management consultant|management advice]] — outsourced to specialist service providers who can be scaled up or down as requirements dictate,<ref>“Surge pricing” in times of crisis, though.</ref> or switched out altogether should they malfunction or otherwise be surplus to requirements.  
Armed with all the data, the organisation’s permanent infrastructure can be honed down and dedicated to its core business, and peripheral functions — [[operation]]s, [[personnel]], [[legal]] and ''~ cough ~'' strategic [[management consultant|management advice]] — genericised and outsourced to specialist service providers who can be scaled up or down as requirements dictate<ref>“Surge pricing” in times of crisis, though.</ref> or switched out should they malfunction or otherwise be surplus to requirements.<ref>A former general counsel of UBS once had the bright idea of creating a “shared service” out of its legal function that could be contracted out to other banks, like Credit Suisse. He kept bringing the idea up, though it was rapidly pooh-poohed each time. Who knew it would work out so well in practice?</ref>


This philosophy of optimally efficient allocation of resources, espoused as it is by ''~ cough ~'' strategic [[management consultant| management advisors]] — can seem self-serving. It is responsible for a generational drift from inefficient businesses run arbitrarily by unionised humans to enterprises run like unblinking machines: infinitesimally-sliced ''processes'', each [[triage]]d and managed by pre-automated applications, with what minimal human oversight there is provided by external service providers in low-cost locations.  
This philosophy of optimally efficient allocation of resources, espoused as it is by ''~ cough ~'' strategic [[management consultant| management advisors]] — can seem self-serving. It is responsible for a generational drift from inefficient businesses run arbitrarily by unionised humans to enterprises run like unblinking machines: infinitesimally-sliced ''processes'', each [[triage]]d and managed by pre-automated applications, with what minimal human oversight there is provided by external service providers in low-cost locations.  
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''Business'' became “business-process-as-a-service”.
''Business'' became “business-process-as-a-service”.


We should, by now, feel like we are in a new and better world — right? — yet customer experience feels worse than ever. Just try getting hold of a bank manager now. “BAU-as-a-service” has streamlined and enhanced the great heft what businesses do, at the cost of outlying opportunities for which the model says there is insufficient business case.  
We should, by now, feel like we are in a new and better world — right? — yet customer experience feels worse than ever. Just try getting hold of a bank manager now. “BAU-as-a-service” has streamlined and enhanced the great heft what businesses do, at the cost of outlying opportunities for which the model says there is insufficient business case.
 
====Pareto triage====
====Pareto triage====
We call this effect “[[Pareto triage]]”. Great, for the huddled masses who just want the normal thing. But it poorly serves the long tail of oddities and opportunities. Those just beyond that “[[Pareto triage|Pareto threshold]]” have little choice but to manage their expectations and take a marginally unsatisfactory experience as the best they are likely to get. Customers subordinate their own priorities to the preferences of the model. This is a poor business outcome. And, unless you are McDonald’s, the idea that 80% of your customers ''want'' exactly the same thing — as opposed to being prepared to put up with it in, the absence of a better alternative — is a kind of wishful [[averagarianism]].
We call this effect “[[Pareto triage]]”. Great, for the huddled masses who just want the normal thing. But it poorly serves the long tail of oddities and opportunities. Those just beyond that “[[Pareto triage|Pareto threshold]]” have little choice but to manage their expectations and take a marginally unsatisfactory experience as the best they are likely to get. Customers subordinate their own priorities to the preferences of the model. This is a poor business outcome. And, unless you are McDonald’s, the idea that 80% of your customers ''want'' exactly the same thing — as opposed to being prepared to put up with it in, the absence of a better alternative — is a kind of wishful [[averagarianism]].