Data Integration Challenges You Must Know About

Businesses today must contend with a plethora of challenges, but perhaps the most crucial one they are bound to face is about data. See, an organization, irrelevant of the industry it operates in, generates an abundance of data. To the layman, it may seem like no big deal, but that couldn't be further away from the truth. The data generated by a company must be appropriately collected and organized so it can then be utilized to achieve insights that will help drive the improvement as well as the growth of the business. However, data, especially in large quantities, is continually changing and unorganized. Also, for the data to serve its real purpose, a company needs data integration.

A quick overview of data integration: It is the combination of a coherent sequence of actions that are used to unite data from a variety of sources and applications and then turn it into gainful and essential insights. However, the constant evolution of technology means companies must adopt some caution; of course, the goal is data integration and transforming it into actionable insights. However, we must not lose sight of the security aspect of the process. However, how can you do that? Well, the best starting point is to make sure that you completely comprehend the challenges you are likely to face during data integration. Here's a list of some of these challenges.

1. Ensuring high quality of data: Once data is gathered, it is imperative to ensure that it is sanitized and synced before a company can process to gleaning insights from it. One needs to make sure that the data is of the utmost quality, which means it is not only complete but also steady and updated. Some of these essential qualities can prove to be especially laborious because the system first receives data as just one chunky mess.
2. Deficient security: Among the most critical concerns when it comes to data integration is ensuring the data's security. Companies must never lose focus of ensuring top-notch security of the data in their possession, but there are often specific aspects that are rendered excessively vulnerable in case the data integration process is not executed within an unsecured environment.

3. Deriving insights from data: Though the goal of data integration is to attain valuable insights, you'd be surprised to know just how many organizations find themselves struggling to do that. It is because, despite the abundance of data as well as the sources for it, the analytics tool being used by the business must be able to connect to the data integration tool -- be it the Talend big data integration solution or one from another provider. Why? Because that is the only way to make sure that the data you gather will offer any value.

Despite its many benefits, data integration can undeniably pose quite complex challenges. However, with an informed approach that is tailored to suit your business’ needs, it won't be a problem at all and will start delivering value before you even know it.

Hi, I am Dorothy and I write technology related articles