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Data Management Best Practices

Data Management Best Practices

What makes data management important? The fact that data is everywhere and must be carefully analysed to be of any use makes data management important. Collecting the required data for a business report, analysis or ground breaking research is a herculean task in its own for which big technology giants especially those dealing with raw data, data

Data Mining | Meaning, History, Fundamentals & Parameters

What is data mining

What is Data Mining? Data mining is the extraction of useful and relevant data from the huge amount of data available and using it for increasing profit. Data extraction in recent past has gained importance because companies and individuals have realized the importance and the power it holds for doing an analysis. This remains a

Types of data processing

Types of data processing

What are different types of data processing Data processing can be understood as the conversion of raw data to meaningful information through a process and the conversion is called ” data processing“. There are number of methods and techniques which can be adopted for processing of data depending upon the requirements, time availability, software and hardware capability

Data Processing & Data Processing Methods

What is Data Processing Data processing is simply the conversion of raw data to meaningful information through a process. Data is manipulated to produce results that lead to a resolution of a problem or improvement of an existing situation. Similar to a production process, it follows a cycle where inputs (raw data) are fed to

Methods of data collection

What are methods of data collection? Data are the special type of information generally obtained through observations, surveys, inquiries, or are generated as a result of human activity. Methods of data collection are essential for anyone who wish to collect data.  Data collection is a fundamental aspect and as a result, there are different methods

Types of Variables

Types of Variables There are 4 types of variables namely nominal, ordinal, interval & ratio. These are further classified as qualitative and quantitative. Qualitative – Nominal & Ordinal Quantitative – Interval & Ratio Nominal Variables Also called as discrete/qualitative or categorical variables. These can only me used for qualitative classification. Categories can be 2 or