What is Data Integration? Types And Importance

Meaning of Data Integration

Data Integration is majorly used and monitored by IT professionals. It enables the gathering, sorting, and transformation of data from diverse sources so that it can be used for a variety of business purposes or directed toward certain customers, business units, partners, applications, or prospective solutions. The primary objective of a data integration platform is to combine and centralize data for better management, access, and actionable business insights.

A data integration platform makes sure that procedures and data are consistent while maintaining legacy security ways, ensuring effective, secure data migration and continuous access.

Common types of Data Integration Platforms

Cloud-Based Data Integration Platforms

Integration Platforms as a Service (IPaaS) in the cloud are gaining significant traction due to their adaptability and relative affordability. An IPaaS can be quickly scaled, requires less maintenance, and can be modified or upgraded without causing any downtime. Additionally, it can offer security measures including massive data storage, real-time data backup, and personalized access. Additionally, IPaaS integrates effectively with other aspects of digital transformations like process, Service Oriented Architecture (SOA), and application integration. Combining these requirements can help you save time and money. However, a more specialized platform is needed or preferred by some enterprises.

Built from Subsystems

Leaders can enhance existing business processes with data integration platform components to ensure data flows seamlessly. These platform components are easily accessible for purchase from technology providers who focus on data integration.

Platforms for Data Integration Installed

These platforms integrate into an existing business process like advanced software.

Why is Data Integration important?

Data is and has always been the most valuable asset for any business, as seen by the large volume of data being collected daily from a variety of sources at a far faster rate. Businesses like to implement effective business strategies to utilize the data to complete applications as possible. However, the true question is how efficiently it can be done.

Let’s understand what it means - the issue with large data volumes is quite expensive. The latest study reveals that businesses operate without a sound business strategy, resulting in adverse effects. By performing a real-time view and analysis of the data, data integration has a tendency to quite effectively address this problem.

Data integration is helpful in numerous ways as it:

• Reduces data complexity.


• Increases data value processed by unified systems.


• Centralizing the data, enhancing its value, and making it easy to use.


• Collaborations facilitate smooth communication among various business systems.


• Improve business decision-making.


• Enhances internal communication between different departments.


• Ensures data security in real-time by maintaining timely information.


• Improved customer experience.



READ MORE: A Comprehensive Guide To Anaplan Integrations For Enterprises