Efficient, Automated, and Reproducible Data Workflows in R Using “drake”
Using machine learning to predict outcomes can be a powerful business tool. However, the cost and time to acquire these skills can be prohibitive. Using our app can streamline this process, providing quick insights and powerful predictive models.
Below is an example of an interactive predictive app. This specific example is model to predict NFL football plays. If you have an event worth predicting and we can find data to make a useful model, than this format can be adopted to suit your needs. Below is an example app for automated reporting and …
There are various ways to turn data into actionable insights with the end goal of increasing your bottom-line. The thread that binds all of these methods together is their dependence on input data.
Whether you already create recurring reports that are rich in data or are curious about starting, automated reporting can make your life easier. With automated reporting, you can have on demand production of a preset report and the possibility for further unique data exploration. This means less time is wasted creating the report, and more time is available for interpreting and drawing strategic insight from your data.