12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Data discovery is a form of data analysis in which data from various sources is collected, analyzed and visualized to uncover and understand business information. The goal is to gain insights into the data that can be useful for decisions and processes within an organization. Data discovery tools can help companies better understand how to use data and improve decision making.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Media monitoring is an analysis procedure used to monitor and evaluate media coverage. The aim is to record the presence and influence of a company, brand or person in the media and to improve the communication strategy. To this end, media reports, press releases, social media posts and other media content are systematically collected, analyzed and evaluated.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A forecasting tool is a program or system used to predict future events or outcomes. It is commonly used in various industries, including finance, marketing, business, and weather. Forecasting tools can use different types of methods and algorithms to analyze data and make predictions. These include simple statistical analysis, complex machine learning algorithms, regression analysis, and data mining techniques.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Data warehousing is a technology that enables companies to integrate disparate data sources to collect, analyze, and process data from multiple sources. This allows companies to use the data to make better decisions and improve their business strategies. Data warehousing can also be used to link, visualize and validate data.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A data lake is a storage system that allows users to store, organize, and analyze a variety of data in its original form. It enables users to store and process structured and unstructured data to gain insights and make business decisions. A data lake can also serve as a central repository for large amounts of data from multiple sources.