Post by account_disabled on Feb 15, 2024 1:08:06 GMT -6
That is, the collection of values useful for your business with related archiving and organization work. Having defined entry points - so you will not collect data at random - you can proceed more easily: always remember to use the appropriate tools for a period of time valid for the purposes of the operation. There is no point in proceeding for a few weeks if the data appears over a period of six months.
A set of information to which you have to give a shape even if in some cases you proceed with the data warehouse: values internal and external to the Nigeria Phone Number List company are archived with a previous structure. While with the data lake we proceed after archiving ( image source ). Analyses This macro-term contains 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.
Firstly there is the descriptive phase, the values are read and organized in order to find the first connections: the numbers are contextualised and insights with connections and cause/effect relationships are identified. This is how data storytelling takes shape . The decision-making phase arises from this work. We proceed by analyzing the KPIs and biases that may emerge from the in-depth analysis.
A set of information to which you have to give a shape even if in some cases you proceed with the data warehouse: values internal and external to the Nigeria Phone Number List company are archived with a previous structure. While with the data lake we proceed after archiving ( image source ). Analyses This macro-term contains 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.
Firstly there is the descriptive phase, the values are read and organized in order to find the first connections: the numbers are contextualised and insights with connections and cause/effect relationships are identified. This is how data storytelling takes shape . The decision-making phase arises from this work. We proceed by analyzing the KPIs and biases that may emerge from the in-depth analysis.
