Data analysis transforms raw data into actionable insights. The data analysis process includes finding trends, tracking and solving problems using tools, technology and data. Data analysis can be shaped in line with business processes. That is, decision-making can be improved in data analysis methods and provide incentives for business growth. Data analysis is defined as the technique of obtaining useful information after collecting raw information, examining and cleaning it. It is a modeling process in which necessary data and information are collected and non-useful data and information are removed by elimination method. The main purpose of the collected data and information phase is to reach results. It is extremely important to extract this data on the way to the result. With the extracted data, it becomes clear what path to follow and what can be done.
Therefore, the data analysis system can also be considered a transformation process. The basis of analysis processes is based on various scientific and social technical methods. Nowadays, scientific technical methods are used more frequently in the business world. However, in some cases social techniques are also needed. Both technical methods and social methods are very important for an Paraguay Phone Number List alysis. Data analytics is a method companies use to gain greater visibility and develop a deeper understanding of processes and services. It enables companies to obtain detailed insights into customer experience and customer problems. Companies move the paradigm beyond data to combine insights with action, create personalized customer experience, build relevant digital product, increase employee productivity and optimize operations.
As Edvido, in this article, we will try to give you information about what is data analysis and what are effective data analysis methods. We wish you pleasant reading! Introduction to Data Analysis Data analysis is basically the name given to the process of collecting raw data and turning it into meaningful and useful information using statistical methods. Businesses frequently benefit from data analysis on issues such as growth, determining marketing strategies and making critical decisions. If data analysis is done with the right data and data analysis methods, it allows many mistakes to be prevented regarding the company's strategic and critical decisions. For example, many sectors such as banking, finance, healthcare, retail and so on can measure and increase customer satisfaction with data analysis methods. Data analysis methods are as follows; Explanatory (Descriptive) Analysis It is a simple and easily understandable data analysis method. As a result of the data used for analysis, results such as "age range" and "quantity" appear quickly and easily. Discovery Analysis It is a data analysis method used to understand the direct or indirect relationships between the data used in the data analysis process.