In this cutting-edge world, data matters a lot to modern organizations. With the aid of valuable data insights, establishments can reach the desired outcome way before time. In short, data can make or break any business. When you have a considerable amount of data then it becomes a bit difficult to keep them organized especially when you have multiple teams involved in different
roles. That’s when Data Mapping comes into the picture! Data Mapping is a defined process through which organizational data becomes structured, centralized, and accessible to teams or
teams. Today’s infographic is all about telling you a bit about “Data Mapping” so if you have the desire to learn more about this topic then keep reading further to enrich your knowledge.

Strategies

Data Integration – It is all about bringing together the given data and placing the same into a centralized location and normalizing two different sets of data into a single stream. Through data integration, the duplicate data gets removed in an organized way.

Data Migration – Data Migration means moving on-premise data from one location to a structurally different location, for example, Cloud platforms.

Data Transformation – It concerns itself with translating unstructured data from one format to another.

Techniques

Manual Data Mapping

This is a very laborious technique that involves connecting data sources and documenting the same via code.

Automated Data Mapping

A completely automated data mapping framework requires a specific software solution without any human interference.

Semi-automated Data Mapping

Semi-automated Data Mapping can be considered a mix of fully automated and manual data mapping. It uses automation to map the processes and manual labor for rectifications.

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