12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Text mining is a technique for extracting valuable hidden information from unstructured text. It is a combination of methods from data analysis, machine learning and natural science. It is used to extract, analyze and categorize content from large amounts of data. It can be used to identify trends and patterns, to make decisions, and to improve the quality of texts.
12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A trend analysis is a process in which a company collects and analyzes data to identify short- and long-term trends in a particular market, industry, or business. This allows companies to better inform their decisions and optimize the results of their investments. Trend analysis helps companies make better decisions by providing data based on past trends and developments in a particular area.
12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Data collection is the process of gathering information, data, or statistics from a variety of sources. This can be done through direct observation, interviews, surveys, analysis, or other methods. The goal of data collection is to gather data in order to investigate and solve a specific problem.
12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Quantitative methods are methods that use numerical data to investigate problems and concepts. There are many different types of quantitative methods, including surveys, expert interviews, descriptive statistics, exploratory data analysis, structural equation modeling, causal analysis, time series processing, and more. Quantitative methods help researchers identify complex relationships between variables, understand interrelationships, and draw conclusions.
12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Data analytics is a technique used to gain insights from data through research and application of mathematical, statistical, and algorithmic techniques. Data analytics is commonly used in many different areas of business and academia to make decisions and gain new insights. It can help improve efficiency and productivity by identifying problems and suggesting potential solutions.