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GITA 1998


Integration of the Enterprise


Network Information Systems for the Communications Industry

Richard Spooner

Marketing Manager NIS, Unisys Communications
Bakers Court, Bakers Road, Uxbridge
UB8 lRG UK



Abstract
This paper explores the competitive pressures which are behind the growing interest of communications companies in applying spatial information technologies beyond the traditional domain of ‘plan-build-record’. It argues that the need to compete on cost, quality of service, and time to market, are making it mandatory for operators to automate and integrate their business processes and systems, and it argues that this is creating both opportunities and challenges for spatial information technologies. It draws upon conceptual models from the fields of telecommunications and information systems, to describe how such technologies can assume a key operational or strategic status when implemented as part of shared model of network infrastructure - a Network Information System (NIS). It suggests that increasingly, the real value of NIS will have far less to do with expanding the network, and much more to do with optimizing performance in use.

The Customer ‘versus’ the Network
Competition - real and imminent - has been responsible for a major shift in the business focus of communications companies. They are being transformed from network-centric operations run by engineering, to customer-centric service organisations. In the course of this transformation, operators have tended to overlook many of the failings of their existing operational support systems for managing the network. Today few operators have in place a system for managing network information which is comparable in scale or sophistication with their customer information system (CIS).

The reality is that in many communications companies, the same networks will be represented in dozens of different data models, each associated with different operational support systems (0SS) for various activities which include network planning, provisioning, network surveillance, outage management, works management, and so on. There are often many manual transcriptions of information involved in the handovers from one 0SS to another.

Innovative communications companies are showing interest in implementing a shared data model of information on the network - a Network Information System - which offers the prospect of improving the flow-through of information and reducing transcriptions and handovers [1]. This increasing demand for NIS can be traced to the competitive pressures faced by modern communications companies, which we now discuss.

The Systems Integration Challenge
Behind the mergers and acquisitions which characterise the communications industry, there is massive internal restructuring. Adams and Willetts talk of a shake-out in the communications industry, in which only the ‘Lean Communications Providers’ will survive [2]. These will be the operators which have automated the end-to-end flow through of processes involved in service management and network management - much along the lines of the automobile industry. It is only through automation, the authors argue, that operators will achieve the reductions in cost, improvement in service quality, and reductions in time to market that will ensure their survival.

They identify three components to automation and process flow-through:
  1. automating the process steps that were done by people, to be done by computer
  2. integrating the process steps to reduce manual handovers of information
  3. rebuilding processes to reflect new ways of doing business, as opposed to mechanizing existing processes
While the spatial information community has long argued that the greatest benefits of the technology derive from integrating and rebuilding processes, the reality in the communications industry is that operators have tended to limit the application of the technology to automating discrete process steps, and particular those steps involved in the ‘plan-build-record’ activities of network evolution. Many operators are now contemplating exploiting spatial technology beyond ‘plan-build-record’. They have evaluated the possibility of building on existing systems, and found in many cases that legacy systems for network planning have been put under stress by the need to compete. We can examine some of these pressures.

Network expansion and the role of spatial information
Networks need to be planned and designed, whether or not the operator is facing competition. However, the arrival of competition generally changes the planning process, and this in turn creates new challenges and opportunities for spatial information systems which have traditionally been so central to network planning.

For example, under a competitive environment, the pace of change is no longer determined by engineering requirements, but is customer- and market-driven. In the past, it was sufficient to base forecasts of demand on demographic and economic data for large areas, and extrapolate from historic patterns. Increasingly the business requires much more sensitive forecasts (in time and space) based on a variety of information sources (internal and external). New technology is being applied to specific parts of the network on an as-needed basis, rather than rolled out wholesale through the operator’s territory, according to an engineering schedule.

Planning has to be both proactive and reactive. The planner no longer has the unidimensional task of minimizing capital costs, but is expected to consider recurrent costs, and multiple objectives. He or she is increasingly expected to be multi-skilled, and able to plan networks based on pooled information rather than local knowledge. All these changes brought about by competition are challenging spatial information technology to justify its contribution to the business. It has to demonstrate that it can model multiple networks, that it can integrate the customer with the network, accommodate market intelligence, scale to hundreds of users, and support long and short transactions. In Adarns and Willetts terms, it has to demonstrate its capability not only to automate the steps of an existing process, but also to integrate steps, and to accommodate new processes. It is expected to demonstrate that it is more than a ‘supporting’ technology, and that it has the potential to support the company’s core business.

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