The Guide to Big Data Analysis

The analysis of data is a process that involves cleansing, inspecting, modelling and transforming data to discover or gather useful information. After that to suggest a conclusion and will support a final decision to be made and put into action. Or it can be defined this way analysis is a process of deriving to a conclusion that is based on gathered material. Through the process of analysis data that have been gathered are considered meaningless numbers and data will become meaningful.

Small data are simpler and easier to process. But when it comes to big data it requires more time unless the system is used is very high end and produce analysis immediately. Analysis or analytics has three main types in data. One is Descriptive Analytics. It is done by condensing or summarizing large numbers into smaller pieces. Instead of having a long list of numbers and details it is transformed to narrative. Second is Predictive Analytics fromĀ search engine optimization. In this type of analytic analysts will create predictions on what will happen in the future by studying historical and recent data.

Even though it is not accurate but it gives a close insight on what will likely to happen. In this process it will involve machine learning, data mining and statistics. The third type is Prescriptive Analytics. The final type can now allow analysts to make a suggestions on what action to take having considered the conclusion. The data from the beginning can now produce actions and real decision like if the company will still make.

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