Why Crunch Data?ĭata crunching enables a company to derive value from its data through analysis. Also, if the company’s departments use different applications, it may need to massage data into a common format so it can report on information from across the entire business. A company may need to convert information from external data feeds so it can apply its existing business intelligence tools to the data. It can also involve eliminating duplicated and erroneous data.ĭata crunching may be needed for a variety of different reasons. It commonly involves clearing out proprietary formatting and unwanted data, converting number and date formats and reformatting and structuring the information. Many programming languages and tools are used for data crunching, including R, Python, Java, MATLAB and SAS.ĭata crunching is needed to convert raw data into a form suitable for analysis.Automating the process can save companies time and money while making information more quickly available for analysis.Data crunching commonly involves stripping out unwanted information and formatting, as well as cleaning and restructuring the data.Data crunching is often an essential step in preparing large amounts of raw data for analysis or processing by other applications.Once these steps are completed, companies can apply analysis tools to the data to glean business insights. It includes stripping out unwanted information and formatting, translating data into the required format and structuring it for analysis or processing by other applications. What Is Data Crunching?ĭata crunching refers to key initial steps required to prepare large volumes of raw data for analysis. Because these preparatory steps can be labor-intensive, automated data crunching can save businesses time and money while making information available more quickly for analysis. Data crunching is the process of cleaning, reformatting and structuring raw data so that it can be used by analytical tools or other applications.

Raw data often needs some preliminary work before it’s ready for analysis.

East, Nordics and Other Regions (opens in new tab)Īnalyzing large amounts of data can yield business insights that help companies identify opportunities to increase revenue and cut costs.

Data crunch meaning