Demand modelling

Poorly managed service demand is a source of cost and risk. The tight coupling of service demand and capacity (consumption and production) requires Financial Management to quantify funding variations resulting from changes in service demand. Financial demand modelling focuses on identifying the total cost of utilization (TCU) to the customer, and predicting the financial implications of future service demand. The Service Catalogue provides critical information on service demand for modelling, decision making, and control.

Demand modelling uses service-oriented financial information with factors of demand and supply in order to model anticipated usage by the business, and provisioning requirement s by IT. This is for identifying funding requirements, variations and driver s of those variations, and to assist in the management of service demand. In this context, inputs for managing service demand include pricing and incentive adjustments that are intended to alter customer consumption patterns. Without critical demand data from Capacity Management and the Service Catalogue, translated into financial requirements, this is not possible.

Mature service organizations are able to apply the practice of Service valuation to their Service Catalogue to establish a value for each service, service component, and service level package. This enables the capability to generate demand plan s and related financial requirement s for expected service consumption. This service demand planning is translated to financial funding requirements for the entire enterprise at a business unit level or lower, and consumption of both services and budget s can be viewed in real time through an extension of the Service Catalogue.

Through the application of Financial Management, the Service Catalogue is able to provide customers with the capability to regulate their demand and prepare budgets. This partly addresses the problem of over-consumption by business and subsequent dissonance with the value of the service. Capacity Planning also provides important information related to service demand by providing usage data and trend reporting largely from a technical component perspective (think bandwidth, resource s, processing capacity etc. that carry a financial impact), and by tracking significant expected variance s in demand related to strategic event s such as product launches, entry into new markets, and acquisitions or divestitures. Demand modelling can leverage data from capacity management because of the tight coupling.

Дата добавления: 2015-11-14