What is the process of geo-enrichment mainly focused on?

The process of geo-enrichment is primarily focused on enhancing data with additional geographic information. This involves taking existing datasets and augmenting them with relevant geographic attributes or context that can provide deeper insights and facilitate better analysis. For instance, an organization may start with a basic dataset of customer addresses and enrich it by adding geographic details like population density, local amenities, or even environmental data. This enriched information helps in conducting more sophisticated analyses, enabling more informed decision-making and strategic planning.

The other options involve different aspects of data management and processing. Removing unnecessary data pertains to data cleaning and optimization but does not add additional context. Compressing spatial data is about making the data smaller for storage purposes, which does not enhance the data itself, and visualizing geographic data in layers refers to the representation of data rather than its enhancement. Geo-enrichment specifically relates to the augmentation of datasets with beneficial geographic context to improve usability and insight generation.