12/09/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Google Analytics is a web-based analytics tool designed to measure, analyze, and report on activity on a website. It tracks visitor interactions with your website so you can better understand how visitors use your website and how it compares to other websites. With Google Analytics, you can identify trends, track the success of your marketing campaigns, and optimize your website to increase conversion rates.
12/08/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Target group analysis is a systematic process aimed at defining the target group of a company, brand or product as precisely as possible. This includes identifying and describing essential characteristics, attributes and needs of the target group. The aim of target group analysis is to better understand the target group and develop marketing measures tailored to it.
12/08/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Lead qualification is a process of thoroughly evaluating potential customers (leads) to determine if they are a good fit for a company. It involves conducting research and conducting interviews to determine if the lead can be a potential customer. This process can also be used to measure lead quality to ensure the company is only pursuing the best leads for its marketing.
12/08/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Evaluation is a process that involves a systematic and objective assessment of programs, projects, people, organizations or even products. Various criteria, such as effectiveness, efficiency or appropriateness, are applied to assess the quality and success of a measure. In this way, it is possible to determine whether a program has been successful and what improvements are needed.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Homoscedasticity is a term used in statistics to describe the constancy of the variance of a series of measurements. It is assumed that the variance of a series of measurements is constant when the homoscedasticity is high. If the homoscedasticity is low, this indicates an uneven distribution of the variance, which is referred to as heteroscedasticity.