Here are five different methods of sharing your data analysis with key stakeholders
Author: Paolo Tamagnini (KNIME). As first published in DevPro Journal.
There are many different scenarios when building a data science workflow. No matter how complex the data analysis, every data scientist needs to deal with an important final step: communicating their findings to the different stakeholders — decision-makers, managers, or clients. This final step is vital because if the findings cannot be understood, trusted or valued, then the entire analysis will be discarded and forgotten.