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Business analytics makes extensive use of analytical modeling and numerical analysis, including explanatory and predictive modeling, [2] and fact-based management to drive decision making. It is therefore closely related to management science. Analytics may be used as input for human decisions or may drive fully automated decisions.
Indicator analysis is a structured analytic technique used in intelligence analysis. It uses historical data to expose trends and identify upcoming major shifts in a subject area, helping the analyst provide evidence-based forecasts with reduced cognitive bias .
Financial analysts often assess the following elements of a firm: Profitability - its ability to earn income and sustain growth in both the short- and long-term. A company's degree of profitability is usually based on the income statement, which reports on the company's results of operations;
The maturity levels for business intelligence are: operational reporting; analytic reporting; business dashboards; analytic applications; It may extend further to predictive analytics, or predictive analysis may form part of the analytic application - depending on both the subject matter under analysis, and the nature of the analysis required.
Business analysis is a professional discipline [1] focused on identifying business needs and determining solutions to business problems. [2] Solutions may include a software-systems development component, process improvements, or organizational changes, and may involve extensive analysis, strategic planning and policy development.
Prescriptive analytics is the third and final phase of business analytics, which also includes descriptive and predictive analytics. [2] [3] Referred to as the "final frontier of analytic capabilities", [4] prescriptive analytics entails the application of mathematical and computational sciences and suggests decision options for how to take advantage of the results of descriptive and ...
The other two are the Basic Indicator Approach and the Standardised Approach. The methods (or approaches) increase in sophistication and risk sensitivity with AMA being the most advanced of the three. Under AMA the banks are allowed to develop their own empirical model to quantify required capital for operational risk.
Similarly, business failures and stock market prices tend to be countercyclical. In finance, an asset that tends to do well while the economy as a whole is doing poorly is referred to as countercyclical, and could be for example a business or a financial instrument whose value is derived from sales of an inferior good.