Just as this graph from the European Commission suggests , which places the evaluation of values at the center of the roadmap to create an effective data strategy. Which must be useful , verifiable, complete and easy to interpret. All this helps you in the next step.
Capturing
Once you have identified your objectives and clarified uk business email list your needs in terms of requirements, you need to start the data capturing work . That is, the collection of values useful to your business with the related archiving and organization work.
data randomly – you can proceed more easily: always remember to use the appropriate tools for a period of time valid for the purposes of the operation. It is useless to proceed for a few weeks if the data manifests itself over a period of six months.
data integration
In the end you end up with a data lake , a set of information that you have to give a shape to, even if in some cases you proceed with the data warehouse: internal and external values to the company are archived with a previous structure. While with the data lake you proceed after the archiving ( image source ).
Analyses
This macro-term includes a series of steps that the data analyst must put into practice with all his skills, moving from big data to useful indications for making sensible decisions.
First there is the descriptive phase, the values are read and organized in order to find the first connections: the numbers are contextualized and insights are identified with connections and cause/effect relationships. This is how data storytelling takes shape . From this work comes the decisional phase.