The Process of Data Analytics

We live in a world where data is generated in large volumes on a daily basis. Modern businesses rely on data to remain ahead in business. When data is collected, it normally doesn’t hold a lot of meaning and has to be analyzed first before it can become useful. The science of analyzing raw dataset with the intention of deriving a conclusion concerning the information the dataset hold is what we refer to as data analytics. With data analytics, one is able to discover patterns held within the raw data so that they can draw valuable information from them. Edgar Radjabli understood the meaning of data analytics a lot and that is why his business ventures have been able to succeed even when no one thought that he could thrive.

To achieve proper data analysis, there is a specific process that one has to follow and, in this article, I am going to take a look at this process.

Process of Data Analytics

The process of data analytics starts with the process of grouping the data. This process can be done through several different methods. There are many criteria that can be used to divide data and they include grouping by population, sex, age, income, race, language, and origin just to name a few. After grouping data, the next step is collecting data, something that can be done through many different sources. For instance, data can be collected from online sources, personnel, the community, and even computers.

Once data has been collected from various sources, it needs to be organized to make it easy to examine it and this can be done through different methods. Data can be organized on a spreadsheet or any other kind of software that is able to take statistical data. Data that has been organized now need to be cleaned to ensure that there is no overlapping data or repetitions. The cleaning process should also involve carrying out a review of the data to ensure that it is complete. The reason for cleaning is to fix any mistakes before the data is taken to analysts for the purposes of being analyzed.

Why we do data analysis

Like I stated in the introductory part of this article, data analysis forms the basis of modern business. Any business out there that runs a sizeable operation must rely on data analytics if it wants to stay ahead. This is because data analysis presents so many advantages to a business and the people in it. Even though there are so many advantages that data analytics present, the most important one is that it improves decision making processes.

Data analytics allow decision makers to understand patterns and essential information held within raw data. Therefore, they are able to make better decisions. When business heads are able to make better and informed decisions, they are able to attain better results in their business operations. Guesswork is removed in the decision making process. Processes such as production, marketing, logistics, and many others are made with concrete information to ensure that they succeed.

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