Details and specialties and creative experience activities
Overall series: The big data analysis method is structured including general common sense. Includes all unstructured data. In particular, if you know the atypical method, you can see how narrow existing stereotypes are. Let's explore the big data analysis method in detail and write a speech. Let's explore what our lives have improved through big data and what we can develop better and write a statement of our feelings. Regardless of department or major, you will learn how to extract data and use it effectively. Let's use the data in your major to find out if there is a successful thought and organize it and share it with your school friends.
Aptitude and interest
It is suitable for those who have a high degree of knowledge in various fields such as economy, statistics, mathematics, and psychology, who are rich in curiosity and ideas, and those who persistently endure long analysis processes. Since big data analysts deal with a lot of the latest trends or trends, they need the ability to frequently understand market trends in each company or sector around the world. Therefore, it is necessary to be curious and interested in new technology contents related to recent trends and big data in countries around the world, and related articles or papers to quickly grasp them. In addition, persistence is required as you have to endure the long-term analysis process. On the other hand, in order to derive insights through fraud and lead to performance 71, it must have logical power and problem-solving ability.
The big data industry is rapidly emerging in the field of future prediction and strategy establishment. A new socioeconomic paradigm has arrived to extract useful information from big data and extract knowledge-intensive services and policies from the results. In order to survive in a competitive society, such as what areas people are interested in, what information they often look for, and how long they stay once they find it, big data must be made a valuable asset with high added value. Big Data is an essential element of the information society, and there is no asset as important as big data in the digital age, just as machines cannot work without oil and cannot produce various value-added products.
Big data analysts analyze large amounts of big data to predict people's behavior patterns or market economic conditions, derive trends or insights implied in the data, and create new added value from them. Where is their work pouring out big data in real-time. It starts with planning how to use it. For example, if you run a mobile shopping mall, what are the keywords that the demand group likes these days. The purpose of the purchase is to analyze in advance which factors affect the price or product evaluation. After the project is completed, they find big data resources to analyze, draw up a program, and analyze it statistically. After processing big data through a platform that processes large amounts of data, the results are visualized. Depending on the analysis method, mining (data mining, text mining, opinion mining, quantification information analysis (metering informatics, web quantification), network analysis (social network analysis, knowledge network analysis, language network analysis), complex instrumentation analysis (complex network fraud, actor-based model, system dynamics), and cluster analysis (discovering similar groups by combining similar characteristics).
Since they deal with a lot of the latest trends or trends, they should be able to understand the market trends of each company or sector around the world from time to time It is also important to quickly find new technologies, contents, articles and papers related to big data from around the world. It is also routine to analyze their company-related search terms and comments on Twitter and the Internet, or to immediately respond by grasping customer pronunciation about their products and services in real time. In addition, the shopping industry and credit card companies, including online malls, combine purchase history information and GPS services (GPS) to guide consumers to suitable places at the right time if they want information, such as short-range restaurants. From the perspective of the government and public institutions, big data helps to identify and provide services required by the people and citizens.
Department of Data Distributor Performance Job
Big data analysts are also called data analysts. This is because data analysts perform tasks that include both structured and unstructured data. Big data analysts focus on unstructured data. Job, statistics, machine learning, artificial intelligence-based data analysis, analysis results visualization, analysis results, interpretation of phenomena shown by data using various analysis techniques, experimental design to identify and renew key businesses, analysis of data to derive results by analyzing survey data such as marketing surveys, social opinion polls, and analysis of different heterogeneous data mashups and pseudonymous information to generate data.
Meanwhile, a similar occupation is Data Scientist They focus mainly on research and development of the latest technology research, implementation, and application of AI model design and practical application. They create a new system of management, utilization, analysis, process innovation, new product development, and marketing strategy decisions. They focus mainly on research and development. They find and model relationships, patterns, and rules between data in big data, and develop algorithms that apply them It is not yet largely distinguished from the work of big data analysts. On the other hand, if model design is based on artificial intelligence technologies such as deep learning among these tasks, it is difficult to distinguish between AI experts and areas overlapping.
Work environment
They work in a comfortable environment because they mainly handle data indoors. Data fraud results are used for business establishment and decision-making, and tasks such as pre-processing and visualization are required for a long time for analysis, which is stressful. In order to become a big data analyst, a high level of knowledge and skills are required to utilize big data. You should fully understand the structure and content of the analysis data, and you should be able to handle R or Python, DB (SQL, PostgreSQL, Mongo DB) for analysis. Majoring in statistics, computer engineering, and industrial engineering at university helps to establish a technical foundation. If you acquire knowledge and experience in business administration or marketing, you can combine it with technical capabilities to create synergies. If you are a humanities major, you can study additional statistics. It can be prepared in a bachelor's or master's and doctoral course related to big data at each university. Big data education achievements are opened at several universities, including Yonsei University's Graduate School of Information, Chungbuk National University and Ulsan University of Science and Technology, Ewha Womans University's integrated master's and doctoral courses, KAIST, and Kookmin University. Sogang University and the Korea Database Promotion Agency also have short-term curriculums, and big data utilization centers and big data academies are also training experts.
Career Development
Big data analysts work for companies, research institutes, institutions, and organizations that deal with data. In general, it can enter various companies and institutions such as big data management departments of large companies, search site companies, and private data analysis companies. They can move to data scientists, data visualization experts, and data planners, and can move to fields that require quantitative analysis. Meanwhile, the data industry is on a continuous growth trend and is expected to grow in the future. The size of the domestic data industry market grew 18% year-on-year to 20 trillion won in 2020, followed by data sales brokerage service, data-related consulting service, and data security solution development and supply. According to IDC, a market research firm, the sales volume of the domestic big data and analysis market is expected to continue to increase.
The importance of data is growing due to the rapid transition to an intelligent information society In the intelligent information society, data analysis will become important in almost all business areas, including creation of new products and services, optimization and automation of processes, improvement of marketing, improvement of new organizational management or decision-making methods, and improvement of R&D. The importance of data analysis is growing because database services, which were previously provided as PC-based online services, are transforming into mobile environments, and as social media evolves into corporate innovative marketing and CRM tools, not just individual communication tools, mobile-based businesses are spreading The explosive increase in mobile devices, including smartphones, led to a surge in data use, which naturally led to a demand for real-time large-capacity data analysis by companies seeking customer satisfaction. With the advent of such a big data environment, database analysis techniques using big data are developing in all industries, and the practical use of big data is expected to serve as a stable demand for related industries in the future.
In particular, database-related technologies are the basis of artificial intelligence technologies such as deep learning and pattern recognition, which have recently attracted attention, as well as data analysis and data science. The government is also establishing a foundation for the development of the data industry, promoting the data economy, and enacting the Framework Act on Data Industry Promotion and Use to foster the data industry. The Act proposes establishing a national data command headquarters, systematic fostering of data specialized companies such as data transaction analysis providers, and fostering data traders as facilitators of the data economy era Prior to this, in 2020, it passed amendments such as the "Personal Information Protection Act", "Credit Information Use and Protection Act", and "Information and Communication Network Promotion and Information Protection Act", which are called "Data 3 Act", to make data available in line with the era of the 4th Industrial Revolution. As a result, it is possible to promote data utilization projects that have not been done before. For example, My Data operators can provide personal information to a common platform, extract personal financial information big data through this platform, and use it to analyze personal credit and consumption trends to recommend retagged products. As the importance of data grows in the future, companies and institutions are expected to actively use it for management, and for this, professionals who analyze data are essential, so the number of jobs for big data analysts is expected to increase over the next decade.
