Reviews take place as long as we buy and sell, that is, as long as there is a market. Whether you are purchasing that shirt or that shoe or investing in a business, you want to have background information first. Whenever you see a product that you admire or service you like, you inquire about it. Doing this is just like reviewing. Reviewing tells you a lot about a product or service. As a seller, good reviews will tend to give you more sales while, as a consumer, reviews will guide your purchase of such goods or services.

Why Reviews

  1. Reviews serve as proof of service. Since reviewers from no are product users, they serve as a guide.
  2. It allows for faster decision making. A consumer who knows nothing of the product or service being purchased can better have a user experience through reviews and make an informed decision.
  3. Reviews are pointers for credibility. By the time a consumer reads some reviews, he or she can quickly determine the reliability and trustworthiness of such a service provider.
  4. Positive reviews also help the producer or seller grow. When there are positive reviews with a business, it ranks higher on the search engine result.

Data Analysis

Data analysis involves checking out facts, detecting patterns, developing explanations, checking, and test hypotheses. It is merely the analysis of information.

Similarities between data analysis and reviews

Both data analysis and reviews have similar goals: making an informed decision. Before you read reviews, you might have a preconceived idea – similar to the hypothesis in data analysis – which you are going to verify. Let’s say you are purchasing a phone; you have the specs in mind already. When you go online, you are testing the specs – checking the hypothesis. Maybe you already know the camera is 48MP ultra-wide, when you read reviews, you get to know how good the camera is from those who have used it. Not only that, but the battery life information can also be trusted more when someone who has used it says how long it can last.

Data Processing

Data processing involves data verification, data organization, data integration, data extraction for use. It consists of the collection of data, processing of such data, and organizing the data.

Similarities between data processing and reviews

Reviews can be compared to data processing in that you verify data. Your preconceived notion is up for verification. There are many reviews; some are false, some can be solely bad, and others purely good. You have to not only read the bad ones or the good ones. You have to compare and mix them up. You gather the data you read from both the good and the bad reviews before you make your decision, which is similar to data collection in the data processing.

Reviews give a summary of information about a product or company. Likewise, data analysis gathers data and summarises the information that has been gathered for the convincing approach. This makes the two comparable, though data analysis has more work in it before it can be achieved.