Customer |
The customer, the elusive entity that every
business is about – or at least should be about.
The customer gets targeted, marketed to,
sold to, serviced, analysed, shall have a positive customer experience, and
sometimes even is made happy.
The ‘customer’ as an entity is owned by the
marketing department, err, the service department, oops, sales … or is it IT?
After all IT is likely to run the CRM system. If it is not a cloud system, that
is.
In reality it is different in every company
and probably rightfully so.
On the other hand every department has
their own requirements and the ‘owner’ of an entity is likely the one who
decides upon the relative priorities of these requirements. And the fulfillment
of requirements regularly decides upon the effectiveness and efficiency a
business unit can operate with.
Now the marketing department is heavily
invested in collecting all data that a customer leaves behind in order to
understand behaviours and be able to entice known and unknown customers into
buying (in the case of a B2C business) or solidifying the lead to an extent
that it can be handed over to the sales department (in case of a B2B business).
They are interested in lots of attributes, segmentation, slicing and dicing
towards various dimensions. Born were Data Management Platforms, and Customer
Data Platforms, and overall a very thriving industry of Marketing Technology.
The sales department now is interested in
opportunity management, CPQ (configure, price, quote), relationship with the
buyers and their potential influencers, closing the deal as efficiently as
possible. Born is a world of sales support software.
The service departments are mainly dealing
with customers post sales, or when there are questions/issues coming up in the
course of the buying journey, trying to resolve them as efficient as possible.
This helped the creation of more classes of enterprise software.
These times it is easy to purchase and
deploy them, with the help of the cloud and decentralized budgets.
All these types of software regularly have
their own data store and, of course, different data models. And, as they are
often implemented locally, they are also not integrated, with all the negative
consequences this has.
As the ‘customer’ is one important piece of
the enterprise data model an important consequence is that suddenly there is different
customer information at different places. There is no single ‘truth’ anymore,
not even different views on the same data, just different data with little
chance of consolidation that is left.
But, in the context of their own jobs (to
be done) the individual departments get closer to their optimal process.
Just that this optimal process is not
likely to be close to a global optimum, which would be defined around the
customer’s job to be done.
The Solution?
Given all this: Who should own the customer
and the customer data? Someone needs to.
I would argue that it should not be a
single business unit. They have their local objectives (which are not always
directly inferred from global objectives) and tend to prioritise their own
goals over other business units’ goals; and they surely do not have the skills
necessary for proper data modeling.
I would also argue that it is neither a
group. This normally leads to no one feeling accountable and thus will not
yield results.
In conclusion this leaves a department that
delivers a service to the other business units. As we are talking technology
here the logical candidate is IT.
The precondition for this to work is that
the CIO sees him-/herself as an enabler to the business, and conversely also is
expected to be in this role.
Dilbert and Mordac; Source: Scott Adams |
A CIO these digital ages needs to be on the
forefront of the business transformation that any digital transformation
is. And the enterprise data model as
part of an enterprise architecture is part of this.
Am I dogmatic about this? No, as long as
the enterprise architecture is part of a cross-business strategic unit – and
has a cross-business governance body to ensure proper direction.
And it needs to stay nimble. This I am
dogmatic about, because, in an adaptation of an SAP slogan: IT and business
must run at the speed of the customer.
A tall order.
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