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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.
Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...
These examples of "traditional data" are produced directly by the company itself. Since alternative data sets originate as a product of a company's operations, these data sets are often less readily accessible and less structured than traditional sources of data. [3] [12] Alternative data is also known as "data exhaust". [13]
The term data processing has mostly been subsumed by the more general term information technology (IT). [5] The older term "data processing" is suggestive of older technologies. For example, in 1996 the Data Processing Management Association (DPMA) changed its name to the Association of Information Technology Professionals. Nevertheless, the ...
Quantitative analysis is the use of mathematical and statistical methods in finance and investment management. Those working in the field are quantitative analysts ( quants ). Quants tend to specialize in specific areas which may include derivative structuring or pricing, risk management , investment management and other related finance ...
Statistical finance [1] is the application of econophysics [2] to financial markets. Instead of the normative roots of finance , it uses a positivist framework. It includes exemplars from statistical physics with an emphasis on emergent or collective properties of financial markets.
In finance, technical analysis is an analysis methodology for analysing and forecasting the direction of prices through the study of past market data, primarily price and volume. [1] As a type of active management , it stands in contradiction to much of modern portfolio theory .