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Post X: Computing and Data

Hi! Seeing concentrations and clusters of data make me dizzy, especially when they're formatted in spreadsheets. I wish analyzing information could be as easy as reading from a picture book. 

But besides causing me nausea, there are definitely a lot of benefits to having data processes and analysis. here are some questions that answer that.

How can computing help process data and information to allow gaining insight?


  • Computers have the ability to perform tasks and organize data in larger quantities and shorter times with little to no error. It goes without saying that such power and speed easily surpasses that of humans. When these time-consuming and arduous processes are covered, people can now focus on the bigger picture and see their data as a whole, creating new insights that enable us to further enhance the quality of information processing and help point out mistakes ever noticed before.

What considerations should be employed in manipulating data?

  • According to ori.hhs.orgWhether statistical or non-statistical methods of analyzes are used, one should be aware of the potential for compromising data integrity. While statistical analysis is typically performed on quantitative data, there are numerous analytic procedures specifically designed for qualitative material including content, thematic, and ethnographic analysis. Regardless of whether one studies quantitative or qualitative phenomena, researchers use a variety of tools to analyze data in order to test hypotheses, discern patterns of behavior, and ultimately answer research questions. Failure to understand or acknowledge data analysis issues presented can compromise data integrity.

How can large datasets allow for finding patterns in order to problem solve and make predictions?

  • Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions.
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