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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]
Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2] Analytics also entails applying data patterns toward effective decision-making.
Geostatistics is a branch of geography that deals with the analysis of data from disciplines such as petroleum geology, hydrogeology, hydrology, meteorology, oceanography, geochemistry, geography. Jurimetrics is the application of probability and statistics to law.
Thomas Davenport, professor of information technology and management at Babson College argues that business intelligence should be divided into querying, reporting, Online analytical processing (OLAP), an "alerts" tool, and business analytics. In this definition, business analytics is the subset of BI focusing on statistics, prediction, and ...
"Fintech", a clipped compound of "financial technology", refers to the application of innovative technologies to products and services in the financial industry.This broad term encompasses a wide array of technological advancements in financial services, including mobile banking, online lending platforms, digital payment systems, robo-advisors, and blockchain-based applications such as ...
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. Analytic applications are typically described as a subset of performance management.
The financial applications of Big Data range from investing decisions and trading (processing volumes of available price data, limit order books, economic data and more, all at the same time), portfolio management (optimizing over an increasingly large array of financial instruments, potentially selected from different asset classes), risk ...
Financial econometrics is the application of statistical methods to financial market data. [1] Financial econometrics is a branch of financial economics, in the field of economics. Areas of study include capital markets, [2] financial institutions, corporate finance and corporate governance. Topics often revolve around asset valuation of ...
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