The “Object Explorer” is Xplain Data’s web-based frontend to view and interactively analyze objects statistically.
It leverages the capabilities of the backend to implement a usability concept for analysis of objects “as a whole”, i. e. across all available data streams. Classical DWH approaches which replicate data into “star schemas” or “OLAP cubes” feel like keyhole views as compared to that. No need for experts to coerce data into those constraint analytical schemas, and with that you bring analytics from the ivory tower into your daily business. Interactively follow your train of thoughts from questions to follow-up questions and – supported by predictive models – discover potential “cause and effect” relationships.
Example from manufacturing – cylinder heads production: analysis of the production process and root cause analysis in case of faulty parts.
The Object Explorer uses the same interfaces as described in “Interfaces”. That allows you to generate artefacts in the Object Explorer (e. g., a relative time axis), view the definition of that artefact, e. g. in terms of a piece of Python code, and simply copy that code into your Python script. You may indeed convert an entire session into a Python script (or into a Jupiter Notebook). The Object Explorer and your Python environment seamlessly interoperate – making the Object Explorer your extended development workbench.