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Data Blending

Data blending is the process of combining data from multiple sources into a functioning dataset. This process is gaining attention among analysts and analytic companies due to the fact that it is a quick and straightforward method used to extract value from multiple data sources.

What is one benefit of using blended data?

Blending lets you create charts based on multiple data sources, called a blended data source. For example, you can blend two different Google Analytics data sources to measure the performance of your app and website in a single visualization. Blending can reveal valuable relationships between your data sets.

What is the difference between data blending and data joining?

Joining is where you are able to combine data from the SAME data source, for example worksheets in an Excel file or tables in an Oracle database. Blending is where you able to combine data from DIFFERENT data sources, for example a worksheet in Excel with a table from an Oracle database.

What is data blending? When do you use this?

Data blending is the process of combining multiple heterogeneous data sources and blending them into a single, usable analytic dataset. The purpose of data blending is to create analytic datasets to answer business questions using data that is not bound by the control and lengthy timelines of traditional IT processes. See the full article for more details.

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Help Topics

Data Blending

Still have questions on this topic? See some articles below that may help.

How do you conduct market research to reveal business opportunities?

What are the main steps for conducting market research?

How to turn real-time data streams into business value?

Still have questions on this topic?
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