Apple Telecom User Manual Page 9

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7 | What customers really want – A customer-centric strategy for telecom operators
1.2 Incoherent internal structures make it difficult to transform data
into knowledge
"The teams merged but the systems didn't, so from the outside it looks
like a merged company, but from the inside we see a mobile customer,
a TV customer, an Internet customer, but sometimes they can all be
the same person."
Martin Péronnet, Monaco Telecom CEO, from www.totaltele.com
Our project experience shows that different factors make it difficult for oper-
ators to transform customer data into customer knowledge and to act upon
it accordingly. These internal factors are inadequate processes, incoherent
organizational setup and disparate technical systems.
Some examples are listed below:
> Silo data in each division: e.g. marketing, sales and network collecting
their own data with a tendency to build workarounds to overcome limits
> Different storage locations (data mart concept): multiple data centers
with no suitable data transfers or interfaces
> Different level of granularity in different domains: e.g. raw CDR data
in the network, billed CDRs in billing and ARPU data in the marketing
domain
> Obsolete data: often several weeks elapse before customer data
is available
> Insufficient standardization of reports and KPIs: only top-level reports
are standardized but inconsistent individual approaches are used for
in-depth customer base analysis
> Unclear management requirements: The complexity is driven by various
types of ad hoc analyses. Processes and data structures are not adapted
to these requests
> Contextual social network data is rarely leveraged
> Inadequate technology: e.g. for analytical purposes or historicized data
Most of the operators constantly adapt their system architecture. When
we look at different companies, we find typical data challenges among the
different provider groups of incumbent operators, mobile network operators
and integrated providers:
Incumbent operators, for instance, have the longest history and often suffer
from legacy structures. Preparing data so that they are fully customer and
service oriented is next to impossible in most cases. For example, physical
network line management is often not visible from the POS, which means
product availability of broadband offers, etc. cannot be verified in real time.
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