Data analysis, as the name suggests, is processing and condensing of data into meaningful conclusions that help in decision making for practical purposes in the most efficient manner. There are numerous firms and companies along with governments that stress on the growing importance of data analysis in day to day business. The modeling of policies and its cost effective implementation for a specific objective or for a multiple of inter-related goals is essentially based on a quality data analysis. There are several techniques for analyzing a data both on the quantitative and qualitative platforms. There are basic and advanced level statistical software packages that help in rigorous processing of the numerical data. Moreover, there are software available for the purpose of doing a comprehensive qualitative analysis of the condensed data.

There are various purposes of data analysis. Two of the broad objectives are predictive purposes and descriptive purposes. The activity of data mining is one of the crucial elements of data analysis that is used for predictive purposes and designing of policies accordingly.

The functioning of a particular business is often a major concern of data analysis that it aims to streamline by recommending good policy prescriptions after a deep study of the available information.

Before data analysis is done, the process of data integration is very important in which the data is gathered, sorted out into planned categories and made ready for a numerical analysis or qualitative study.

A band of variegated parameters and elements such as profitability, input costs, inventory changes, sales, revenues etc are taken into account in data analysis centered on business centric activities.

But, the data analysis has a much broader approach, as it is performed for studying different sociological issues. It has got tremendous relevance in the political domain too, where it assists in speculating the moods of the voters just prior to a major election, helping the concerned party to design its campaign program.

Sample Data Analysis

Data Analysis Format

Data Analysis Template

Qualitative Data Analysis

Quantitative Data Analysis

Wind Data Analysis

Web Data Analysis

Excel Data Analysis

Real Time Data Analysis

Research Data Analysis

Retail Data Analysis

Regression Data Analysis

Reliability Data Analysis

Root Data Analysis

Test Data Analysis

Online Data Analysis

Primary Data Analysis

Parametric Data Analysis

Proteomics Data Analysis


Attribute Data Analysis

Atmospheric Data Analysis

Secondary Data Analysis

Statistical Data Analysis

Software Data Analysis

Sequence Data Analysis

Descriptive Data Analysis

Financial Data Analysis

Flight Data Analysis

Health Data Analysis

Kids Data Analysis

Life Data Analysis

Customer Data Analysis

Clinical Data Analysis

Computer Data Analysis

Visual Data Analysis

Biological Data Analysis

Nutritional Data Analysis

Numerical Data Analysis

Market Data Analysis

Data Envelopment Analysis

Data Development Analysis

Demography Data Analysis

Deductive Data Analysis

Survey Data Analysis

 


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