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A cost centre is a department within a business to which costs can be allocated. The term includes departments which do not produce directly but they incur costs to the business, [1] when the manager and employees of the cost centre are not accountable for the profitability and investment decisions of the business but they are responsible for some of its costs.
In statistics, where classification is often done with logistic regression or a similar procedure, the properties of observations are termed explanatory variables (or independent variables, regressors, etc.), and the categories to be predicted are known as outcomes, which are considered to be possible values of the dependent variable.
In materials management, ABC analysis is an inventory categorisation technique which divides inventory into three categories: 'A' items, with very tight control and accurate records, 'B' items, less tightly controlled and with moderate records, and 'C' items, with the simplest controls possible and minimal records.
The first step in doing a data classification is to cluster the data set used for category training, to create the wanted number of categories. An algorithm, called the classifier, is then used on the categories, creating a descriptive model for each. These models can then be used to categorize new items in the created classification system. [2]
Classification of Individual Consumption According to Purpose (COICOP) is a Reference Classification published by the United Nations Statistics Division that divides the purpose of individual consumption expenditures incurred by three institutional sectors, namely households, non-profit institutions serving households, and general government.
The Global Industry Classification Standard (GICS) is an industry taxonomy developed in 1999 by MSCI and Standard & Poor's (S&P) for use by the global financial community. The GICS structure consists of 11 sectors, 25 industry groups, 74 industries and 163 sub-industries [ 1 ] into which S&P has categorized all major public companies .
Data classification is the process of organizing data into categories based on attributes like file type, content, or metadata. The data is then assigned class labels that describe a set of attributes for the corresponding data sets. The goal is to provide meaningful class attributes to former less structured information.
Category management is an approach to the organisation of purchasing within a business organisation, also often referred to as procurement.Applying category management to purchasing activity benefits organisations by providing an approach to reduce the cost of buying goods and services, reduce risk in the supply chain, increase overall value from the supply base and gain access to more ...