Search results
Results from the WOW.Com Content Network
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]
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.
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.
OLAP clients include many spreadsheet programs like Excel, web application, SQL, dashboard tools, etc. Many clients support interactive data exploration where users select dimensions and measures of interest. Some dimensions are used as filters (for slicing and dicing the data) while others are selected as the axes of a pivot table or pivot chart.
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 ...
Prediction intervals are commonly used as definitions of reference ranges, such as reference ranges for blood tests to give an idea of whether a blood test is normal or not. For this purpose, the most commonly used prediction interval is the 95% prediction interval, and a reference range based on it can be called a standard reference range.
The defining functional effect of these technical approaches is that predictive analytics provides a predictive score (probability) for each individual (customer, employee, healthcare patient, product SKU, vehicle, component, machine, or other organizational unit) in order to determine, inform, or influence organizational processes that pertain ...
Time series are used in statistics, signal processing, pattern recognition, econometrics, mathematical finance, weather forecasting, earthquake prediction, electroencephalography, control engineering, astronomy, communications engineering, and largely in any domain of applied science and engineering which involves temporal measurements.