What is Data Mapping?

Nowadays, companies need to take advantage of data and turn it into actionable insights, but corporate data is increasing rapidly and becoming more dispersed. For this reason, data mapping has gained importance for business intelligence systems today.

Data mapping directly affects business analysis, forecasting, and business decision-making processes. Therefore, data mapping is the most important element of data integration processes. If you want to know more about integration in businesses we suggest you read our wiki post “What Is B2B Integration?“.

What is Data Mapping?

Data mapping is the process of associating data in an information system with data in a targeted information system. To facilitate the integration of multiple data sources into a single data warehouse, data mapping must be employed to link them together.

The purpose of data mapping is to normalize large and complex data sets so that Business Intelligence systems can access and analyze information seamlessly. Therefore, data processing is important for a business intelligence system that needs a bird’s eye view of the data in a company.

Why is Data Mapping Important?

End-to-end process view:

Data mapping helps employees understand what they are doing and what to do. It allows seeing how the decisions made affect the customer. Data mapping allows you to see and evaluate your company at 365 degrees.

Helps improve your operations

Data mapping enables employees to find the answers themselves when they encounter a problem. Process maps provide detailed information by showing what to do.

Helps identify and reduce risks

Process maps can be used to identify and show where risk is defined within the business and what controls are or should be in place to reduce risk.

Allows optimization of complex data

Data compatibility with various data streams from multiple sources is a potential problem. The data mapping tool simplifies the transformation process by providing complex data with built-in tools.

Contributes to customer relationship management

Data mapping helps you create a single source of accuracy for data about your customers. It allows you to gain deeper insight into customer preferences and behavior.

Reduces human error

Fully automated data processing tools convert data for you and support various data types. Therefore, it reduces human errors and saves time.

How Does Data Mapping Work?

Data mapping works by matching information from different systems and applications to create links between them. It is an important part of data management and integration strategies applied by businesses today. Data replication provides businesses with a clear path to transfer data from one system to another, ensuring accuracy and consistency.

The process often uses automated tools that detect and reconcile inconsistencies between the two systems. It enables the extraction, conversion and loading (ETL) of data from one system to another with these tools. Businesses free up valuable resources through data replication while eliminating manual labor and automating data integration migration and governance processes. In addition, it connects cloud and on-premises data and applications, allowing users to quickly access the data they need.

What are the Commonly Used Data Mapping Techniques?

There are three main data mapping techniques.

Manual data processing

IT professionals need to manually encode links from the data source to the target scheme. As data systems grow, they become more complex. Therefore, manual encoders cannot meet data mapping requirements, so data teams must use automated solutions.

Schema mapping

It is a semi-automatic data mapping strategy that uses software to put together similar schemes without much human intervention. The software compares the data sources and the target scheme to match the data. Then, an IT professional checks the connections made and make the necessary adjustments.

Fully automatic data processing

It provides a code-free drag and drop interface tool for data mapping tasks. Non-technical business professionals can use it.

What are the Advantages of Data Mapping?

Data mapping tools provide many benefits to businesses. Some of the most important benefits are as follows:

  • Accuracy Increases

Data mapping ensures accurate mapping of data between different systems, reducing the risk of errors and improving the quality of data analysis.

  • Data Analysis Made Easy

Data mapping reduces the amount of manual effort by automating the processes required for data analysis. In this way, businesses save time by analyzing target data quickly and accurately.

  • Simplifies Information Exchange

Data mapping makes it easy to share data between different systems by providing a common schema for communication. This allows businesses to more easily connect disparate data and applications.

  • Increases Security

Data mapping tools ensure data protection by allowing only authorized users to access the data.

What Should You Look For When Choosing a Data Mapping Tool?

Choosing the right data mapping tool differs according to project requirements. Data mapping tools have many features to suit your needs, but a good data mapping tool should have three key features.

Data mapping without code

Users without coding knowledge can perform data mapping tasks and easily make changes to their projects thanks to the drag-and-drop interface. Uncoded automation easily maps data of any complexity and eliminates the possibility of human error.

Automatic data mapping and conversion

Data must be converted from different application formats before data can be matched. Because this process takes time, most data mapping tools include a built-in library of predefined integrations.

Support for various structured and unstructured data types

Data mapping must support data in a wide variety of structured formats. Most businesses need to integrate structured data with unstructured data sources. it should be able to provide connectivity for all corporate applications used by companies.

With this information, you may want to know more about integration processes in enterprises. At this point, MIP might help you. MIP is an IPaaS tool with pre-built connectors that helps you to build your integration via APIs. Learn more about us!

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