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From the 1980s to the early 2000s, FP&A utilized business intelligence and financial modeling software - such as such as Cognos and BusinessObjects - allowing for risk, scenario and sensitivity analysis. From 2000s to present, tools used in FP&A include cloud-based platforms and analytics packages - Amazon Web Services and Microsoft Azure, and ...
Predictive analytics can help underwrite these quantities by predicting the chances of illness, default, bankruptcy, etc. Predictive analytics can streamline the process of customer acquisition by predicting the future risk behavior of a customer using application level data. Predictive analytics in the form of credit scores have reduced the ...
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
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. Prediction is a similar but more general term.
For a country or economy, see Economic forecast. Typically, using historical internal accounting and sales data, in addition to external industry data and economic indicators, a financial forecast will be the analyst's modeled prediction of company outcomes in financial terms over a given time period.
SAS (previously "Statistical Analysis System") [1] is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, [2] and predictive analytics. SAS' analytical software is built upon artificial intelligence and utilizes machine learning ...
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