November/December 2001
Bridging The Gap: Integrating
Customer Management And Network Management
BY ADAM BOONE AND JOHN
JANETOS
As a well-known marketing truism notes: Its more profitable in the
long run to ensure a happy, loyal customer than to constantly fight to find
new ones.
Forward-looking service providers have always recognized the need to
focus on improving the customer experience. To minimize churn, these service
providers inherently understand that responsiveness to customers and
customer issues is a top priority. Customers want high-availability services
that perform as promised, are delivered as promised, and are billed as
promised. As another time-tested business truism states: No one wants to pay
for more than they need.
Within telecommunications, the renewed emphasis on increasing customer
loyalty has given rise to a host of products designed to deliver a better
customer experience. These customer relationship management (CRM) solutions
provide carriers with a more holistic view of their customers, but a
fundamental problem stands in the way of fully realizing the benefits of
these systems. Simply put, the functions and processes that manage customers
whether dubbed customer care, CRM, accounting, or any other name
often have little, if any, direct connection to the network and the
processes that manage the network. This disconnection between the network
and the customer processes prevents the service provider from having a truly
unified view of its individual customers and inhibits the service providers
ability to ensure an optimal customer experience.
There is, however, a new way to plan and implement an operations support
systems (OSS) structure that enables network-facing systems and
customer-facing systems to share immediate and useful information on the
actual status of the network as it relates to every customer. This strategy
customer-aware service management enables a service provider to
directly link network management functions with customer management systems,
making the customer the common denominator of network and service
operations.
THE OSS FRAGMENTATION PROBLEM
Imagine a restaurant where the waiters did not directly communicate with
the chefs in the kitchen. Dinner orders would get lost, chefs would have no
way of knowing what to prepare, and what emerged from the kitchen would bear
little resemblance to what was ordered. Customers would flee in droves. How
long could such a restaurant stay in business? In todays OSS world, our
restaurant analogy is close to the mark. Todays OSS is typically a
loosely federated set of systems and processes that manage the network and
the services running across it. These systems and processes are often either
manually integrated or not integrated at all.
The network-facing systems and processes focus on provisioning and
service activation, fault management, performance monitoring, and similar
tasks. An order management/workflow system typically guides these processes
in conjunction with an inventory system that tracks network resources to
deliver the service to the customer. The customer-facing systems
typically include a billing system, a CRM system, and a trouble ticketing
system to handle service level agreement (SLA) definition, tracking, and
other tasks. The network-facing systems control and capture data from the
network itself while the customer-facing systems manage the interactions
with the customers. Typically, only the customer-facing systems have
in-depth knowledge of the actual customers who receive service.
Unfortunately, this fragmented OSS structure cannot provide a complete,
real-time picture of end-to-end services and the customers receiving them.
This partial view results from the customer-oriented systems being largely
disconnected from the systems managing the network and services. In some
instances, such as trouble ticketing, the customer-facing system is
triggered by a network event, but the customer-facing system does not have
deep knowledge about how the network event may affect the customer. In most
cases, the network-facing service management applications typically do not
share or act upon customer-specific data in an integrated, automated
fashion.
For example, a fault management system might provide an effective picture
of which faults are affecting which devices over a period of time or at any
given time. However, the system should really help the service provider
answer these questions:
- Which specific service connections are affected by a given fault?
- Which customers are affected by the fault, and how are they affected?
- What effect on revenue does this fault have?
- How often has each customer experienced service disruptions? How often
for specific service connections? How often for all their services?
- Which of the affected customers have higher SLAs that place them at
the top of the priority list for recovery or re-provisioning?
Without answers to these questions, does the service providers staff
have the knowledge necessary to draw a clear picture of how satisfied any
individual customer is? The short answer is no. Instead of proactively
managing the customers experience, the service provider is probably
reacting to customer complaints about service outage and consequently being
placed in the position of having to struggle to retain the customer. In
fact, a service providers ability to answer these questions quickly is a
major factor in the customers levels of satisfaction and, ultimately,
their loyalty.
NEW MODEL TIES NETWORK MANAGEMENT FUNCTIONS TO CUSTOMERS
To address these issues, service providers need a new OSS where network
management and customer management systems and processes operate within the
same spheres of influence. By making the customer the common denominator of
service management processes and key network management functions,
customer-aware service management posits an OSS that answers the questions
outlined above. In effect, this approach links customer information from the
customer-facing systems into the network-facing systems. This shared
information enables customer-facing and network-facing systems to jointly
correlate problems with specific customers and service instances, as well as
with the network elements configured to carry those services.
One simple way to share this information is to develop a customer-focused
knowledge base that is available to network management functions interacting
with the network. In effect, the databases accessed by network-facing
functions must also be populated with information about specific service
instances and the customers receiving those services. Armed with this data,
the network-facing OSS systems can make direct associations among the
service instances, the customers receiving them, and the status or
configuration of network elements carrying them. These associations can then
be elevated to the customer-facing applications that track service quality,
billing, and other critical functions that enable knowledgeable business
decisions to be made. Ideally, knowledge of the network elements should be
constantly updated in the knowledge base through an auto-discovery interface
with the network.
By unifying service management tools in this fashion, the service
provider can correlate how network events affect any given service instance
as well as specific customers. The metrics and devices that are being
monitored can be dynamic, based on the SLA and quality of service (QoS)
parameters assigned at the time of service provisioning and activation.
For example, a customer contracts for a virtual private network (VPN)
between Seattle and Chicago. The network service provider provisions the
service and the system automatically populates the fault management and
performance monitoring knowledge base with details on the VPNs monitoring
parameters. In the knowledge base, the information about the customer and
the service is directly linked to the network resources network elements
and ports that are configured to carry it. This information includes the
core devices, edge devices, and customer premise equipment. If a switch
fails along the route of the VPN, the fault management system will flag the
fault, instantly correlate it with the service and the customer, and alert
both the network operations center and the customer service representative
staff. Armed with this instantaneous information, the service provider can
proactively call the customer with a status report before the customer may
even become aware of the problem.
Correlating customers, services, and network elements in this manner
results in a number of significant benefits:
- Improved SLA monitoring. The service provider now has greater
visibility into real-time SLA-related performance data and the
historical performance of a service in relation to the SLA;
- Improved customer relations. The service provider can instantly view
which network events are affecting which customers, permitting proactive
customer relations;
- Detailed service histories. Compiling performance and fault data as
they relate to individual service instances can yield a detailed history
of each service and how it has performed for each customer; and
- Improved resource planning. By having better visibility into how
network resources are assigned to customers, service providers have
better intelligence to more effectively plan network resources.
By understanding in real time the service experience of the customer, the
service provider can provide faster, more efficient, and more personalized
customer service, which in turn engenders increased customer loyalty.
Increased loyalty translates into higher retention rates and, ultimately,
higher profitability.
Adam Boone is director of strategic marketing for CoManage Corp., www.comanage.net,
a developer of service management systems for network service providers.
John Janetos is director of strategic alliances of Portal Software, www.portal.com,
which develops customer management and billing software for communications
and content providers.
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