STEM applications

STEM is purpose-built as a flexible and robust platform for the economic modelling of networks.

The following pages describe a range of applications which demonstrate end-to-end modelling for both service providers and vendors.

Quick and easy business-case evaluation

In today’s constantly changing technology environment, there is a real business imperative to perform rapid and reliable evaluations of new service concepts, and to be able to readily adapt such business cases to changing market conditions and emerging vendor solutions.

Service costing and profitability analysis

Every responsible carrier business must measure the unit costs of the services it provides as a critical benchmark for determining a pricing strategy for long-term survival.

Network-transformation modelling

Technology does not stand still, and nor can service-provider business models. Services may evolve through network cannibalisation in the short term, but leaps in functionality and core replacement make wide-ranging network transformation projects inevitable.

Business models for solution marketing

Leading vendors are using models created with the Analysys Strategic Telecoms Evaluation Model (STEM) to communicate the economic value of their solutions.

Online demonstrations

Analysys Mason uses an online meeting tool to broadcast online sales demonstrations which showcase existing STEM applications and answer client queries on an interactive and immediate basis.

Further details

Contact

Robin Bailey

Head of Decision Systems Group +44 1223 460600

STEM User Group Meeting

17–18 Sep 2008, Cambridge, UK

The STEM User Group Meeting is a unique opportunity to learn about the activities of other STEM users from around the world, and to discuss best practice in business modelling for networks.

Further details

Related services: Analysys Mason can work with you on a range of related consulting services.; Business planning and budgeting; Cost models (including LRIC models) of fixed network services; Cost models (including LRIC models) of mobile network services; Revenue and margin forecasting