In some cases it is enough to get a “gut feeling” or see that something “looks good”. But if you need to make the right decision, decision-making based on digital measurements is the better choice. Digital analysis gives you the tools to make the right decision, such as when you want to have data-driven decision-making or automated marketing.
Statistics models and predictive analytics is used for many applications in digital analysis to determine the likelihood of whether an unusual event is actually due to something you can exploit or utilise. Examples of applications are advanced AB tests, multivariate testing, conversion optimisation, predictive marketing and user personalisation.
CountQuest works with R, an extremely powerful open-source tool for the most demanding applications. R comes from the academic world and has a very strong (and educated) community, which leads to the latest technologies, models and API connections coming to R first.
In line with organisations becoming more data-driven and digital analysis having a greater importance in board rooms, R has quickly become an important tool for advanced analysis. R is one of the fastest growing programming languages right now. R is well-documented, updated, flexible and a free open-source license.