Digitalization is not coming in one go, it goes through 3 main steps.
Some
industries have been involved much earlier than others in the digitalization
revolution. Capital markets have been involved in such a transformation more
than 25 years ago when they became more and more electronic. This continuous
process over 30 years supported by tremendous investments has been radically
transforming this industry. This is not only true for capital markets, similar
patterns apply to very different domains like airline, telco, … Later with the
bloom of e-commerce, similar things started to happen in the brick and mortar
world. Could some of the patterns we have seen from the digitization early
adopters apply to the e-commerce world and to which extend?
When I
first started in the Capital markets IT in 1988, digitization was the big thing
just been introduced, we were moving from video terminals (already somehow
electronic) to completely digital workstations connected to the various
financial networks and exchanges. Quoting and trading were possible fully
electronically which brought more speed and efficiency, it was great.
But after a while I clearly remember traders telling me: “this is great stuff
but I cannot do much more than what I did in the past, I am still working the
same way I was before, manually quoting those products even though I receive a
huge lot of digital information”.
Then we started to use more the power of this new toy: quoting more products,
trading electronically. In this phase we were going beyond the limits of the
previous setup, we could go back any more to manual operation.
Over the years
the trades and product volumes increased so much that the traders were not able
to manage the business the way they did. Quoting thousands of products is not
possible individually for each product even if this is automated. The operator
cannot follow those products individually and the bank cannot afford to increase
the number of traders in proportion with the number of products traded.
This pushed us in another paradigm being able to manage all those products
globally. We had to put together a model fitting the behavior of classes of
products so that traders can concentrate on adjusting the model and analyzing
the detected exceptions. In this last phase, digitalization completely disrupted
the way products were elaborated and priced. This story
illustrates the different phases of this digitalization process.
To sum up those steps, first phase improves speed and efficiency of the same business. Second phase
moves the business away from its original form up to a point where a new
paradigm is needed. Third phase introduces the new paradigm that phase two was
pushing for. At that stage the business has little in common with its original
stage.
This
concept can be extend to other industries even if they provide tangible goods:
the matter is to cover all sorts of customer needs multiplying the number of
products reaching ultimately a full customization.
One example, even if it is not coming from the a full customization is the
airline industry: it is common to say that all customers in a plane are all paying
a different price. Prices are adjusted almost real time based on a number of
critical factors. Big teams are mobilized in each airline company to analyze and
model the customer behavior in order to optimize pricing, trying to give to
their companies a competitive advantage.
More
recently, we have seen a huge attraction for a new technology called “Big Data”
which purpose is to analyze huge data sets and perceive from there customers’
behaviors. This is clearly entering in this third phase were customization is
so wide that no one can handle it any more without a proper model.
dimanche 30 novembre 2014
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