Data mapping: what it is, how it works and how to optimize it

Data mapping is a fundamental process in data management that consists of creating correspondences between data fields from different sources. The goal of data mapping operations is to reduce errors by standardizing the data, thus facilitating a deeper understanding of the information.

This article explores the concept of data mapping and its importance in depth, also providing guidance on how to optimize this type of activity by leveraging the Connecteed feed manager.
 

What is data mapping?

Data mapping represents the process of connecting data fields from different sources. The main purpose of this operation is to allow the aggregation of information deriving from different sources, defining a standard and minimizing the risk of errors in the data sent to the database for storage.

In a production landscape characterized by increasingly voluminous and strategic information flows, data management activities and, more specifically, data mapping reveal themselves to be crucial step and, potentially, very expensive.
 

Importance of data mapping

The correct management of data mapping operations is crucial from many points of view. The possibilities offered by careful planning of these activities include:

1. reduction of errors. By connecting data precisely, you minimize the possibility of problems managing business-critical information.

2. Data standardization. Data mapping allows you to standardize data coming from different sources, facilitating all subsequent analysis phases and preparing the essential foundations for setting up data-driven decision-making processes.

3. Data visualization. Once correctly mapped and aggregated, the data can be used for a wide variety of purposes, including the development of data visualizations aimed at a more immediate and complete understanding of results, trends and critical issues.
    

How does data mapping work?

The data mapping process begins with precisely identifying the data relevant to a given project.

A set of data mapping instructions defines the sources and recipients of the data, along with their relationships. In a complex business environment, of course, it becomes essential to integrate and manage data mapping operations within a dedicated environment, such as a digital platform for data aggregation, standardization and preservation.
 

Connecteed come feed manager per il data mapping

Connecteed is an advanced tool that simplifies the data mapping process.

To set up efficient data mapping tasks you simply need to:

1. Access data sources
   Connect Connecteed to your data sources, taking advantage of the predefined connectors or the different options offered for the automatic import of information and data flows. The platform's tools offer easy access to connections for a wide range of applications and services, as well as generic import options from URLs, emails and repositories.
    

2. Define changes and transformations
   With Connecteed, you can set up different transformations to automatically apply to your data, based on conditional rules you establish. You are free to add or remove fields or rows, perform data cleaning operations or even filter information based on specific requirements.
    

3. Set standard mappings
   Use professional feed manager features to create reusable mappings. This functionality allows you to standardize data flows, optimizing work and saving time.
    

4. Automate and schedule processes
   Once the mapping is completed, Connecteed allows you to automate and plan each subsequent update of the database created within the individual project, establishing the frequency of data import and also setting automatic notifications to report errors or other problems.
    

Benefits of data mapping with Connecteed

Data mapping activities can be one of the most difficult tasks time-consuming, strategic and, at the same time, exposed to the possibility of errors for businesses that base their work on massive data flows, a definition that today applies to a wide variety of sectors, from traditional to online commerce, through marketing, account management and even banking, financial and insurance.

Relying on a professional tool like Connecteed to manage data mapping operations results in a long series of immediate operational benefits. Among others, the following stand out:
 

1. higher data quality

Using a platform like Connecteed for data mapping operations ensures greater data quality. Identifies and resolves data management errors to ensure 100% high-quality and reliable information.
 

2. Data governance

Connecteed effectively supports data governance initiatives. Thanks to the application tools, you collaborate between teams, defining, discovering, measuring and monitoring data through a single source of truth, so as to facilitate and make access to information truly effective.
 

3. Automation and time saving

The automation offered by feed management tools saves valuable time. Human interventions are only necessary in case of anomalies, which contributes to the overall efficiency of data mapping operations.
 

Optimize and simplify data mapping operations with Connecteed:

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Data mapping represents a crucial step in ensure the integrity and understanding of company data.

With Connecteed, this process becomes more efficient and automated, resulting in smarter and more streamlined data management.

By taking advantage of the advanced tools of the feed manager platform you will have the opportunity to deal in a practical and convenient way with the complexity and volume of data underlying many of the activities of modern business contexts. Investing in the correct execution of data mapping operations translates into the preparation of one solid basis for in-depth analysis It is informed business decisions.

You can immediately test the Connecteed tools and the effectiveness of the platform in managing large amounts of data from multiple sources to be merged, standardized and mapped: activate your free trial now or visit the Contact section to request Customer Service support in Italian.