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Faster availability of data is a competitive issue for most organizations. For example, businesses that have higher operational/credit risk (involving for example credit cards or wealth management) may want weekly or even daily availability of KPI analysis, facilitated by appropriate IT systems and tools.
The term was initially used in the world of data analysis and business analysis. For example, a CSF for a successful Information Technology project is user involvement. [2] Critical success factors should not be confused with success criteria. The latter are outcomes of a project or achievements of an organization necessary to consider the ...
Key risk indicators are metrics used by organizations to provide an early signal of increasing risk exposures in various areas of the enterprise. It differs from a key performance indicator (KPI) in that the latter is meant as a measure of how well something is being done while the former is an indicator of the possibility of future adverse ...
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Business analytics (BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods .
VisualVM is a visual tool integrating several commandline JDK tools and lightweight profiling capabilities. It is bundled with the Java Development Kit since version 6, update 7. FusionReactor, Java application performance monitoring - low overhead, production grade tools for production debugging, code profiling, memory and thread analysis
Risk analysis is the process of identifying and assessing risks that may jeopardize an organization's success. It typically fits into a larger risk management framework. Diligent risk analysis helps construct preventive measures to reduce the probability of incidents from occurring, as well as counter-measures to address incidents as they ...
The SCOR model describes the business activities associated with satisfying a customer's demand, which include plan, source, make, deliver, return, and enable. Use of the model includes analyzing the current state of a company's processes and goals, quantifying operational performance, and comparing company performance to benchmark data.
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