Importance of Data Quality and Data Processing

The subject that the whole world talks about and is now seen as the most important thing in the new order is data. Data is processed in many different ways and is prepared to extract information from it. It is a structure that gives a different dimension that changes the direction of the world on its own. Today companies actually exist as much as the knowledge they have. The readily obtained data may be inferior to the data you have collected yourself, the details of which you know. Therefore, you can spend a lot of time on data processing and extend the project time. This can be a big disadvantage for you. It is entirely up to you to measure the quality of the incoming data and arrange them in a certain order. If the data quality is really bad, it can be integrated into the system after the final preparations are made by carefully applying the data processing steps above it.
 
The biggest mistake made by software developers who are at the beginning level is to process the data that is prepared cleanly. To level up, you can create a data set yourself and analyze it. While this gives you self-confidence, the solutions you find in the face of the difficulties you encounter are what will lead you to a great deal of progress, so that you will reach the ‘problem solving ability’ that many big companies care about. Dealing with the data you collect yourself will prepare you for real-life problems. People who want to pursue a career in Data Science should find a solution to a real problem by collecting their own data and adjusting this data so that they can finally go to the product stage. Thanks to the project phases it has developed, it can easily continue its career with a high level of experience in matters such as processing information, product development, and finding solutions to real life problems.
 

 
The most important issue for the Data Scientist is data. If there is no data, no solution can be found, and the people who have the data will hold the power in the new era. In the future world order, we can call the data that will give full direction to the world. There are data flowing live at every stage of life, and processing them and making logical inferences is an extremely important skill for the century we live in. Understanding the information obtained from the data well and finding solutions to the problems that may arise is another situation that will provide convenience in finding a job in the future. The most important issue opened to the subject of artificial intelligence is a project and the existence of quality data for that project. Data quality has full say in determining how long the project is to be formed and its maximum destination. There is no matter as important as data quality because if the data is of poor quality, there are many problems to occur.
 
Another issue, which is as important as data quality, is to perform data processing steps correctly. Data science, machine learning, artificial learning, deep learning or artificial intelligence, whatever you call it, all it takes for these jobs to become a product is data. In addition, the quality of this data and the fact that the data processing steps are prepared at a very good level directly affect the processes of the projects where these names are made. The most critical situation is to pass data processing steps, topics that will be presented as products. After you have overcome such vital points, you can quickly navigate by using mathematical, engineering or statistical information on the part of the work to become a product. This situation accelerates your project and motivates you. Thus, you can move to a different dimension by acting with the motivation you get and the pushing power you have.
 

 
The conditions of the world will continue to change continuously throughout the century we live in. It is the data itself that is determined to lead this change. The data, called the new oil, is literally petroleum for the new century. Processing them and obtaining logical results is the main goal of everyone. Persons working in this field must have strong numerical knowledge and have experience in data processing. It should benefit the units it works with by actively using its problem-solving intelligence from the first moment it takes the data. Data processing; It is a technique that has the power to change success scores in machine learning and deep learning. This technique, if used correctly, can easily achieve the achievable maximum score levels.
 
The thing that contributes to the development of smart systems and their full penetration into our lives has been created thanks to quality data. If you want to produce quality works for the project to be worked on, you must first collect the data you have on the basis of quality and solid foundations. If this is not the case, you can keep your project ready by performing a very good data processing phase and finishing before the project. Thus, it saves you both time and gives you confidence in the quality of the data you will deal with while getting to the job, and you will need to solve problems over data in a minimal way during the project steps. Data quality is the life source of projects. People who have had the opportunity to work with good data know exactly what I mean. Remember, good data means a good project, a good working order and good results.

 
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References:
-https://www.wired.com/insights/2014/07/data-new-oil-digital-economy/#:~:text=Like%20oil%2C%20for%20those%20who,the%20government%20to%20local%20companies.
-https://globalaihub.com/basic-statistics-information-series/
-https://globalaihub.com/python-ile-veri-on-isleme-data-preprocessing/
-https://searchdatamanagement.techtarget.com/definition/data-quality.