Explains Data Integration: What It Is and Why It Matters

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May 28
02:12 2022 Explains Data Integration: What It Is and Why It Matters

When organizations receive data in multiple formats, classifying it can be difficult, and that’s what data integration is for. Today’s businesses generate vast amounts of data every day, and it comes from various sources.

Below, we will offer a fantastic read on how data integration works to combine, manage, and process all that information.

Data Integration: What Is It?

Data integration is defined as the business and technical methods by which data from numerous sources is turned into valuable, actionable information. Essentially, it creates a unified view of an organization’s data business intelligence (BI) applications can use to create insights based on an organization’s existing data assets.

Why Data Integration Matters to Every Department within a Company

BI applications use companies’ current and past data to derive valuable information from disparate sources. By giving managers, owners, and executives an understanding of existing operations, as well the company’s strengths and weaknesses, data integration directly affects the bottom line.

Furthermore, the integration process helps companies collaborate more effectively with partners, suppliers, and government agencies. According to, one of the most important IT applications of data integration is giving companies access to data that’s stored on mainframes and other legacy systems.

When companies have been in business for decades, some big data analytics programs don’t always play nicely with older data. The best integration solutions bridge the gap between old and new, making legacy data compatible with today’s most popular BI applications.

How Data Integration Works for Today’s Businesses

In the past, data integration objectives have been accomplished via several automated and manual approaches. However, most of today’s solutions utilize the ETL (extract, transform, and load) method in some form. With Grouparoo, data from various sources can be connected, standardized, and managed.

As implied by its name, ETL extracts data from the host environment, standardizes its format, and loads it into a receiving system for use by that system’s applications. During the transformation stage, the data is checked for deficiencies and errors before it is sent to the receiver. When data is sanitized in this way, it’s less likely to cause issues later.

Why Do Companies Need Dedicated Solutions?

Traditionally, companies took a piecemeal approach to data integration, assigning the responsibility to individuals who combined data into reports. These processes are tedious and time-consuming, to say the least, and they’re also more likely to produce errors that are also expensive to fix.

Raw data isn’t very useful until it is gathered and organized. BI apps use the information produced by data integration solutions to form business strategies from a company’s past and current datasets. With analysis and integration tools, companies can increase efficiency and effectiveness. Additionally, teams will be able to make real-time decisions that are based on insights rather than conjecture.

How Can Companies Simplify Their Data Integration Strategies?

To reduce the need for manual adjustment and coding, and to break down management or governance difficulties by data integration, a well-crafted solution is essential. Request additional information online or call today to get started.

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