# Difference Between Data Mining and Data Analysis

1. Data Analysis :Â
Data Analysis involves extraction, cleaning, transformation, modelingÂ andÂ visualizationÂ of data with an objective to extractÂ importantÂ and helpful information which canÂ beÂ additionalÂ helpfulÂ inÂ derivingÂ conclusions and makeÂ choices.Â

The main purposeÂ of data analysis isÂ to search outÂ some important information in raw data soÂ the derived knowledgeÂ is oftenÂ used toÂ createÂ vitalÂ choices.Â

2. Data Mining :Â
Data mining could be called as aÂ subsetÂ of DataÂ Analysis. ItÂ is theÂ exploration and analysisÂ of hugeÂ knowledgeÂ to findÂ importantÂ patterns and rules.Â

Data miningÂ could also beÂ a systematicÂ andÂ successiveÂ methodÂ ofÂ identifyingÂ and discovering hidden patterns andÂ dataÂ throughoutÂ a bigÂ dataset. Moreover, it is used toÂ build machine learning models that are further used in artificial intelligence.Â Â

Below is a table of differences between Data Mining and Data Analysis :Â

Based onData MiningData Analysis
DefinitionIt is the process of extracting important pattern from large datasets.It is the process of analysing and organizing raw data in order to determine useful informations and decisions
FunctionIt is used in discovering hidden patterns in raw data sets .In this all operations are involved in examining data sets to fine conclusions.
Data setIn this data set are generally large and structured.Dataset can be large, medium or small, Also structured, semi structured, unstructured.
ModelsOften require mathematical and statistical modelsAnalytical and business intelligence models
VisualizationIt generally does not require visualizationSurely requires Data visualization.
GoalPrime goal is to make data usable.It is used to make data driven decisions.
Required KnowledgeIt involves the intersection of machine learning, statistics, and databases.It requires the knowledge of computer science, statistics, mathematics, subject knowledge Al/Machine Learning.
Also known asIt is also known as Knowledge discovery in databases.Data analysis can be divided intoÂ descriptive statistics, Â exploratory data analysis, andÂ confirmatory data analysis.
OutputIt shows the data tends and patterns.The output is verified or discarded hypothesis

Â

Â

Â

Previous
Next