What Is Data Blending?
Data blending is the process of combining data from multiple sources into a functioning dataset.
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Datawatch Monarch is the industry’s leading solution for self-service data blending. |
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The goals of data blending: |
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The key steps to data blending:
- Data Acquisition: Identify and obtain access to the data within your sources
- Joining Data : Combine the edited data for further use and analysis
- Data Cleansing: Redesign the data into a usable/functional format and correct/remove any bad data
The most prominent environments where data blending is utilized are within sales/marketing, finance operations, and site/merchandising operations. In today’s world it is critical for these business sectors to adopt and integrate tools that will allow their users to visually mash their data so that they will have a competitive edge when it comes to responding to big data flows.
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Want to learn more? Check out these whitepapers:
Gartner Market Guide for Self-Service Data Preparation |
Bridge the Gap Between Business Agility and Governance |
Extending Self-Service Data Preparation Through Automation |
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