Data analysis

data analyticsanalysisdata analystanalyzedata interpretationanalysis dataanalysis of dataanalyze datadata analystsanalyse data
Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making.wikipedia
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Business intelligence

BIBusiness Intelligence (BI)Business discovery
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.
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information.

Exploratory data analysis

explorative data analysisexploratorydata analysis
In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA).
In statistics, exploratory data analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often with visual methods.

Data mining

data-miningdataminingknowledge discovery in databases
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.
Often the more general terms (large scale) data analysis and analytics – or, when referring to actual methods, artificial intelligence and machine learning – are more appropriate.

Data

statistical datascientific datadatum
Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making.
Data is measured, collected and reported, and analyzed, whereupon it can be visualized using graphs, images or other analysis tools.

Statistical inference

inferential statisticsinferenceinferences
Inferential statistics includes techniques to measure relationships between particular variables.
Statistical inference is the process of using data analysis to deduce properties of an underlying probability distribution.

Orange (software)

OrangeOrange data mining
It features a visual programming front-end for explorative data analysis and interactive data visualization.

CERN

European Organization for Nuclear ResearchEuropean Organization for Nuclear Research (CERN)European Laboratory for Particle Physics
The main site at Meyrin hosts a large computing facility, which is primarily used to store and analyse data from experiments, as well as simulate events.

R (programming language)

RR programming languageCRAN
The R language is widely used among statisticians and data miners for developing statistical software and data analysis.

ROOT

ROOT Sports
It was originally designed for particle physics data analysis and contains several features specific to this field, but it is also used in other applications such as astronomy and data mining.

Big data

big data analyticsbig data analysisbig-data
Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.

LTPP Data Analysis Contest

LTPP International Data Analysis Contest
The LTPP International Data Analysis Contest or the LTPP Data Analysis Contest is an annual international data analysis contest held by the American Society of Civil Engineers and Federal Highway Administration.

Missing data

missing valuesmissing at randomincomplete data
Some data analysis techniques are not robust to missingness, and require to "fill in", or impute the missing data.

Data science

data scientistdata scientistsdata-driven
Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data.

Data visualization

visualizationData Presentation Architecturedata visualisation
Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination.
It is one of the steps in data analysis or data science.

Dimensionality reduction

dimension reductionreduce the dimensionalitydimensional reduction
Data analysis such as regression or classification can be done in the reduced space more accurately than in the original space.

Numeracy

Mathematical Literacyinnumeracyinnumerate
However, audiences may not have such literacy with numbers or numeracy; they are said to be innumerate.
At the same time, their data analysis reveals that these differences as well as within country inequality decreased over time.

Analytics

data analyticsanalyticadvanced analytics
Data analytics is a multidisciplinary field.

Outlier

outliersstatistical outliersconservative estimate
If a data point (or points) is excluded from the data analysis, this should be clearly stated on any subsequent report.

Financial statement analysis

Financial Analysisanalysisfinancial research
For example, when analysts perform financial statement analysis, they will often recast the financial statements under different assumptions to help arrive at an estimate of future cash flow, which they then discount to present value based on some interest rate, to determine the valuation of the company or its stock.

Data blending

blendblended datamultisource analysis
Data blending has been described as different to data integration due to the requirements of data analysts to merge sources very quickly, too quickly for any practical intervention by data scientists.

Richard Veryard

Enterprise Modelling Methodology/Open Distributed Processing
In "Pragmatic data analysis" (1984) Veryard presented data analysis as a branch of systems analysis, which shared the same principles.

American Society of Civil Engineers

ASCEAmerican Society of Civil Engineers and ArchitectsAmerican Society of Civil Engineers (ASCE)
The LTPP International Data Analysis Contest is an annual data analysis contest held by the ASCE in collaboration with the Federal Highway Administration (FHWA).