What could the consequences of data aggregation be?
- What are the drawbacks of an aggregate?
- What happens when you aggregate data?
- Why is data aggregation bad?
- What is the aggregation problem in existing statistics?
What are the drawbacks of an aggregate?
What are the disadvantages of aggregating data? It is cumbersome to find and analyse data if it is not collected and organised in a meaningful way. Low quality data that is aggregated can lead to a high chance of identifying false positives and negatives.
What happens when you aggregate data?
Data aggregation is any process whereby data is gathered and expressed in a summary form. When data is aggregated, atomic data rows -- typically gathered from multiple sources -- are replaced with totals or summary statistics.
Why is data aggregation bad?
A high level of aggregation in your data conceals differences between and among important subgroup categories. If you analyze a given metric at the wrong level of refinement or detail, chances are you'll fail to take the appropriate action.
What is the aggregation problem in existing statistics?
The aggregation problem is the difficult problem of finding a valid way to treat an empirical or theoretical aggregate as if it reacted like a less-aggregated measure, say, about behavior of an individual agent as described in general microeconomic theory.
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