# data fusion

> integration of multiple data sources to provide better information

**Wikidata**: [Q456962](https://www.wikidata.org/wiki/Q456962)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Data_fusion)  
**Source**: https://4ort.xyz/entity/data-fusion

## Summary
Data fusion is the integration of multiple data sources to provide better information. It is recognized as a field of study and is a subclass within the broader discipline of data management. This process aims to combine disparate data to yield more comprehensive and reliable insights.

## Key Facts
*   Data fusion integrates multiple data sources to provide better information.
*   It is classified as a field of study.
*   Data fusion is a subclass of data management, a discipline related to managing data as a resource.
*   It is known by aliases such as "Data Fusion" and "数据融合".
*   The entity has a Freebase ID of /m/02pb_2q.
*   It is associated with a Quora topic named "Data-Fusion".
*   Its Wikipedia entry, titled "Data fusion", is available in 8 languages including English, German, and French.
*   It has an Encyclopedia of China (Third Edition) ID of 236199.
*   The parent category, data management, has 29 sitelinks.

## FAQs
### Q: What is data fusion?
A: Data fusion is the process of combining information from multiple distinct data sources. Its primary purpose is to synthesize this information to provide a more complete and improved understanding or dataset than any single source could offer.

### Q: What is data fusion a part of?
A: Data fusion is a specific field of study that falls under the umbrella of data management. Data management encompasses various disciplines focused on effectively handling and utilizing data as a valuable resource.

### Q: What is the main benefit or purpose of data fusion?
A: The main benefit of data fusion is to enhance the quality and comprehensiveness of information. By integrating diverse data, it aims to overcome limitations of individual sources, leading to more accurate analyses, better decision-making, and a more holistic view of a subject.

## Why It Matters
Data fusion is crucial in today's data-rich environment because it addresses the fundamental challenge of making sense of disparate information. As organizations and systems collect data from an ever-increasing number of sources—ranging from sensors and databases to social media and historical records—the ability to integrate these streams becomes paramount. Without data fusion, insights might be fragmented, incomplete, or even contradictory, leading to suboptimal decisions. By combining these sources, data fusion enables the creation of a more coherent, robust, and reliable picture, which is essential for advanced analytics, artificial intelligence, and informed strategic planning. It allows for the detection of patterns, trends, and anomalies that might be invisible when data is viewed in isolation, thereby unlocking greater value from existing data assets and improving overall operational efficiency and strategic foresight.

## Notable For
*   Its core function is the integration of multiple, distinct data sources.
*   It is specifically designed to provide better and more comprehensive information than individual sources.
*   It is formally recognized as a distinct field of study.
*   It serves as a specialized subclass within the broader discipline of data management.

## Body

### Definition and Purpose
Data fusion is defined as the integration of multiple data sources. The fundamental purpose of this integration is to provide better information. This process aims to synthesize disparate data streams to create a more complete, accurate, or reliable understanding than could be achieved by analyzing each source independently.

### Classification and Relationships
Data fusion is formally recognized as a field of study. It is classified as a subclass of data management. Data management is a broader discipline that encompasses various practices and principles related to managing data as a resource. The parent entity, data management, has a sitelink count of 29, indicating its extensive presence across various platforms.

### Identifiers and Aliases
The entity "data fusion" is known by several identifiers and aliases:
*   **Aliases**: Data Fusion, 数据融合
*   **Freebase ID**: /m/02pb_2q
*   **Quora Topic**: Data-Fusion
*   **Wikipedia Title**: Data fusion
*   **Wikipedia Languages**: Its Wikipedia entry is available in 8 languages: Arabic (ar), German (de), English (en), Spanish (es), French (fr), Russian (ru), Turkish (tr), and Ukrainian (uk).
*   **Wikidata Description**: integration of multiple data sources to provide better information
*   **Encyclopedia of China (Third Edition) ID**: 236199
*   **Sitelink Count**: 8