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22 | Study
2.4 Stage four: Holistic operations
This phase marks the final stage of customer centricity with a full change
of customer philosophy. Here, customer knowledge is transferred to all
day-to-day processes without delay. Employees have internalized the impor-
tance of the customer view and act according to it. At this point, customer
understanding no longer relies on formalized processes but is integrated
into the company culture. Coordination goes beyond the boundaries of the
organization.
At this stage, companies typically adopt a 360° data strategy approach. All
units have direct access to one single centralized and active enterprise data
warehouse that is both highly scalable and able to flexibly integrate new
sources. Telecom operators are able to use multiple internal and external
data sources that are systematically integrated into one system. The data
warehouse contains information from various internal and external data
sources. A case in point is inter-branch loyalty program data that is shared
through cooperation with retailers and reconciled to customer user data.
Patterns and clusters in usage behavior, e.g. user content preferences, are
identified in real time. The data strategy enables active user group tests for
new services, tariff price points, operator brand awareness, etc. Marketing
units at telecom operators would be able to use input from other divisions.
Call centers could use all customer information in real time to support the
customer in his service and product experience. The same would be valid
for employees with direct customer interaction, e.g. in the shop, and with
indirect interaction, e.g. in network planning. At this stage, the network
and marketing units cooperate smoothly.
The 360° data approach and the highly scalable enterprise data warehouse
help implement and support holistic business process operations, and there-
fore represent the ideal long-term data strategy for operators. It goes without
saying that technology alone will not do the trick. It is the analytics part, i.e.
creativity and knowledge, that will make the data come alive and disclose
the information it contains.
Two examples illustrate the way holistic operations can be achieved
with a focus on data strategy adjustments.
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