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Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. [11] Statistician John Tukey, defined data analysis in 1961, as:
Forensic data analysis (FDA) is a branch of digital forensics. It examines structured data with regard to incidents of financial crime. The aim is to discover and analyse patterns of fraudulent activities. Data from application systems or from their underlying databases is referred to as structured data.
Analytics may apply to a variety of fields such as marketing, management, finance, online systems, information security, and software services. Since analytics can require extensive computation (see big data), the algorithms and software used for analytics harness the most current methods in computer science, statistics, and mathematics. [4]
In sales and trading, quantitative analysts work to determine prices, manage risk, and identify profitable opportunities.Historically this was a distinct activity from trading but the boundary between a desk quantitative analyst and a quantitative trader is increasingly blurred, and it is now difficult to enter trading as a profession without at least some quantitative analysis education.
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 ...
[11] [15] In this regard, methodology comes after formulating a research question and helps the researchers decide what methods to use in the process. For example, methodology should assist the researcher in deciding why one method of sampling is preferable to another in a particular case or which form of data analysis is likely to bring the ...
Today, forensic accountants work closely with data analytics to dig through complex financial records. Data collection is an important aspect of forensic accounting because proper analysis requires data that is sufficient and reliable. [24] Once a forensic accountant has access to the relevant data, analytic techniques are applied.
Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...