As of this entry, we are finishing our article series about “How to treat your data”. In this last entry, we will make a summary of all the treatment criteria previously analyzed, so you can understand the necessary stages of data treatment.
Stages for data treatment
Just as we have commented on our previous entry, there are four types of stages to treat all kinds of data:
- Formatting or Cleaning
- Completion or Enrichment
- Unification or Deduplication
I. … Read more
We continue with our article series about data treatment, and now we will focus on one last criterion: unification or deleting repeated data.
Why do you need to unify your data?
Unification allows you to simplify your bases management, and it helps you to achieve the following goals:
… Read more
- To know your users better.
We continue with our article series about data treatment, and today we are focusing on a new criterion: the completion or enrichment of our data.
Why treat your data with completion?
By applying the enrichment criteria you will get two fundamental goals:
- To complete and qualify the base with related data
- To improve your forms’ usefulness by simplifying data entry
What do you gain by completing your base?… Read more
We continue with our article series about data treatment, where we review the different criteria at our disposal. .
Why do you have to treat your data through validation?
Previously we commented on the need to assign a format to our datum to make it appropriate for its field type.… Read more
Imagine for a moment that you have already detected the origin of your problems and now you want to know how to treat your data.
In this entry we will show you what criteria do you have at your disposal to minimize errors and improve your data, resulting in a homogenous, reliable and monetizable database.… Read more