In this release we introduce new models to easily predict and analyze user behavior directly on data collected using the open analytics taxonomy, and seamlessly switch between the full data set or a sample. No manual cleaning, transformations, exporting samples or complex tooling required.
In this release we add new functionality to modeling library Bach and the open model hub that enable User Intent analysis on your raw analytics data. It comes with an example notebook to get started with your own analysis.
With this release we now provide a Tracker SDK for React Native, so you can use Objectiv's advanced modeling on your mobile app's user behavior data as well.
Analytics tracking instrumentation shouldn't cost you a lot of time. So we've put a lot of effort into ensuring that it's incredibly simple and quick.
With this release we've added several example notebooks that help you get started with the open model hub to analyze and model data. We've also released the Objectiv libraries to PyPI.
We've released Objectiv v0.0.15, which enables validation of data at the first step of the pipeline: the Tracker.
We've released v0.0.14. This release adds several new pandas-like date & time operations to the Bach modeling library that provide more granular control when wrangling/exploring time-related data.
We released v0.0.13, which adds a
MarketingContext
to the open analytics taxonomy, enabling analysis of marketing & product performance straight from your
notebook.