Most organizations have data stored in disparate systems for a variety reasons. Regardless of how the data is stored, you may need to combine it for clarity or to analyze the relationships between data stored in different systems.
Zoomdata dashboards can contain many charts, and each chart can depict data from a different data store. So a single dashboard can show data from different data stores. In addition, Zoomdata offers three more practical approaches to multisource analysis. They are fusion, cross-source filtering, and keysets.
- Fusion combines multiple data sources using one or more common keys so that they appear to be from a single source. The two most common reasons for using data fusion are to enrich or provide clarity to the data. One simple example is to use fusion to look up labels or other attributes. Depending on the size of the data being fused, data fusion can be resource-intensive. See Fusing Data Sources.
- Cross-source filtering allows business you to quickly apply common filters across charts that are populated by different data sources. Cross-source filtering simplifies and accelerates exploration when a dashboard contains data that is logically related but physically in different systems. See Using Cross-Source Links.
- Keysets are an innovative way to perform multipass data analysis without requiring IT or developer intervention. You can simply create a keyset from one chart and apply that keyset as a filter on other charts. Keysets can be applied to any charts, and are usable across all data sources. See Using Keysets.
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