If you deal with data then it’s important that you know what is data integration. It is an integral part of data management. Due to its huge importance and the role it plays in big data, it has now become a part of almost all organizations.

You will find many data integration tools out there used by organizations and individuals to perform data integration.

In this article, we’ll talk about data integration in detail and have a look at how it works. Plus, we’ll also help you pick the right data integration software.

Let’s get started:

Data Integration Definition

It is defined as “a process in which heterogeneous data is retrieved and combined as an incorporated form and structure.”

It allows different forms or types of data such as tables, documents to get merged by applications, organizations, and users for business or personal use.

Types of Data Integration

There are various techniques used to bring data together. Here are some of the most common types of data integration:

#1 Data Consolidation

It involves physically bringing data together from different systems to create a singular system with all the required data.

The main purpose of this technique is to store data in one location so that it becomes easier to use and manage the information. 

#2 Data Propagation

This technique involves using different tools to move data from one location to another. This is an event-driven technique that can be done asynchronously or synchronously. 

In most cases, there is a two-way exchange of data. 

#3 Data Virtualization

This technique involves using an interface to provide a unified, near real-time view of data found in different locations.

Data virtualization does not require a single point of access. This data integration technology makes it possible to work on data no matter where it is stored.

#4 Data Federation

This technique is an extension of data virtualization. It involves using a virtual database to create a common model for data found in different systems.

#5 Data Warehousing

This is a common and popular data integration technique. It involves creating a storage repository for data. However, the term generally refers to not only storage but also the cleansing and reformatting of data. 

The Importance of Data Integration

The main purpose of data integration is to help businesses succeed.

It does not matter what kind of business you run, you will typically have the data stored at multiple locations.The Importance of Data Integration

For example, think of a customer 360 view case. We talked about the concept in detail in one of our previous blogs highlighting how businesses collect data to know their customer.

They use customer-facing apps, partner data, marketing operations tools, web traffic, etc. to understand their customers better. 

This information lies in different systems but it has to come together in order to help the company get a 360 view of a customer. The task of managing and operating so much data can be troublesome. However, data integration makes it easier.

You do not have to log into multiple systems or check multiple files to know more about a customer since all the information is available at a single platform. There is also no need to waste time copying data.

Data integration makes the job efficient and easier, thus reducing the cost and time needed to perform tasks. 

Here are some of the major benefits of data integration:

  • Unifies System to Improve Collaboration

Employees working in different departments often need access to data stored in a specific location. Some employees often work on the same project at the same time. This cannot be possible without data integration.

Plus, new data is being created with every passing moment. This new data has to be merged with the already-saved data. This will not be possible without proper collaboration.

  • Improves Efficiency and Saves Time

It can take data scientists hours to work on poorly organized data. Data integration reduces the effort required to analyze data. As a result, you get to save time and money. 

Plus, automation also removes the need to put in more effort.

  • Reduces the Risk of Errors

Businesses have a lot to keep up with in terms of data resources. Employees need to be aware of every account and location in order to correctly gather data. Plus, they also need specific software to be able to work on the data that they have.

The huge number of data resources and repositories can lead to errors. Data integration reduces the risk by putting data in one place. Plus, it also synchronizes data, hence one does not have to worry about mistakenly using outdated information.

  • Improves the Value of Data

Data integration adds value to data by identifying quality issues and making necessary improvements. 

How Does Data Integration Work?

Since data integration brings together data from multiple sources, it allows the user to use data in an efficient manner.

It offers a unified view of the data stored in multiple systems. This makes analysis easier as you are able to compare all the data at once. 

In addition to data warehouses, data integration is generally implemented in a hybrid or cloud environment. Most companies create data warehouses in case of acquisitions or mergers. Different entities come together and they bring a lot of data that may need to be unified or stored in a single system.

How to Choose the Right Data Integration Software

You cannot go ahead with the process without the right data integration tool by your side. Since there are a large number of data integration software, it can often get a little difficult to pick one.

To help you in this regard, we have listed a few things to keep in mind when selecting a data integration software:

  • Open Source: Open source options offer more flexibility. Plus, they can also be effective in avoiding vendor lock-in.
  • Trial: We suggest that you go for a tool that offers a free trial so that you know what you are taking on before you buy the full version. 
  • Ease: Make sure to select an option that is easy to use so that you have no difficulty in performing the required tasks. 
  • Affordable: The software should be affordable with no hidden fees or extra charges.
  • Cloud Compatible: Since most of us now keep data in the cloud, it is best to opt for a tool that is cloud compatible.
  • Portable: The tool must be portable. This is very important now that businesses are moving to a hybrid model. 
  • Support: The software must offer excellent customer support so that you never feel stuck.
  • Connectors: The tool must be able to support a variety of applications and systems. This is important so that you can perform all the required tasks on a single software.

WinPure Software Can Be The Best Solution

WinPure data cleaning, organizing software can help with data integration. It is one of the best data wrangling solutions out there and offers some amazing features including:

  • Word Manager 
  • Address Splitting 
  • Gender/Name Splitting
  • Data Matching 
  • Data Profiling/Stats 
  • Reporting 
  • Golden Records
  • Survivorship Automation

Our software has been designed keeping all data integration challenges in mind. You will have no trouble in reaching the finish line with our software by your side. 

Plus, it supports almost all legacy systems and works with external data as well. We keep up with the changing time and offer excellent customer support.

Our award-winning software will increase the efficiency and accuracy of your data. Plus, it will also help with the management. 

You can start with a free trial today to know more about how we can help your business. Our software is affordable and suitable for all kinds of software. Call xxx-xxx-xxx today to speak to one of our agents or go here to get access to a free trial.


Written by Moe Sid

Moe Sid is the Content Editor at WinPure, and for the greatest part of his life he's been working as a content writer and ESL teacher. He enjoys writing web content and copywriting as well as blogging on the data management topics.

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