Explore data and retrieve relevant information in a visual and easy-to-understand format. Share your findings across your company or with key clients.
Data-based decisions
Companies often have a lot of valuable data in their hands but fail to properly extract relevant information from it. For this reason, correctly analyzing data is a must for any modern business. This can be done in a standardized sequence of steps, such as:
And also, the construction of tailored new variables that can be used to verify hypothesis or emphasize some findings in conveniently selected graphs.
Improved information exchange in your company
Effectively sharing findings across the whole organization is crucial to growth. The distribution of recurrent reports and the definition of central points that feed information to all levels of hierarchy have a direct impact on getting better results.
You can check what a typical report might look like here.
Our favorite tools
We are not limited to the following technologies, but usually our data analysis will be developed in Python using:
- Jupyter Notebooks, Pandas and Numpy.
- Seaborn or Matplotlib.
- BeautifulSoup and Requests.
- SQLAlchemy or PySpark.
