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TCS BaNCS is a core banking software suite developed by Tata Consultancy Services for use by retail banks. [ 2 ] It includes functions for universal banking , core banking , payments, wealth management, forex and money markets, compliance, insurance, securities processing, custody, financial inclusion, Islamic banking and treasury operations.
By 2008, its e-business operations were generating over US$500 million in annual revenue. [29] [30] In 2011, TCS entered the small and medium enterprises market with cloud-based solutions. [31] On the final trading day of 2011, it surpassed RIL to achieve the highest market capitalization of any India-based company. [32]
The type of model that is chosen to forecast demand depends on many different aspects such as the type of data obtained or the number of observations, etc. [10] In this stage it is important to define the type of variables that will be used to forecast demand. Regression analysis is the main statistical method for forecasting. There are many ...
The loss function used to evaluate the quality of the classification model can be either the accuracy of the prediction (defined as the number of times that the classifier predicted the correct sign divided by the total number of predictions made) [10] or the total return of a trading strategy that bought when the classifier predicted a ...
The basic form of a linear predictor function () for data point i (consisting of p explanatory variables), for i = 1, ..., n, is = + + +,where , for k = 1, ..., p, is the value of the k-th explanatory variable for data point i, and , …, are the coefficients (regression coefficients, weights, etc.) indicating the relative effect of a particular explanatory variable on the outcome.
Forecasting is the process of making predictions based on past and present data. Later these can be compared with what actually happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis.
In software development, effort estimation is the process of predicting the most realistic amount of effort (expressed in terms of person-hours or money) required to develop or maintain software based on incomplete, uncertain and noisy input.