The Fundamentals of Structured Data


The manner in which you organize your data plays a large role in how useful it is. As you might expect, disorganized information can be much more difficult to work with. This could easily impact your bottom line and reduce your overall efficiency.

Regardless of your business needs, leveraging structured data is something that most organizations can benefit from. Let’s take a look at everything you need to know about this concept.

What Is Structured Data?

Put simply, structured data is information that has been organized in a specific way. This type of information follows a predetermined structure and can be interpreted by computers.

In many cases, this means it’s also much easier to process when compared to unstructured data sets.

You can check out this resource to learn more about how to use OCR in C# if you happen to need to make use of this specific library.

Why Is Structured Data Important?

In essence, there are two key advantages that are associated with structured data. The first is the ability to gain insights from your information more rapidly. Computers are much better at processing patterns in data sets when compared to humans.

As a result, it’s easier for these programs to make accurate forecasts and take actionable steps moving forward. The second advantage of structured data is that it allows for easier integration into applications.

Because data is organized in a predetermined fashion, it’s easier to transfer this information directly into the cloud or on-premise programs.

What Are Some Examples of Structured Data?

Structured data can be found everywhere.

For example, barcodes and QR codes were developed with the goal of making unstructured information more structured. More recently, many major companies have adopted advanced machine learning algorithms to transform the information they process on a regular basis.

Other areas where you might find data expressed in a formatted manner include databases, spreadsheets, and data warehouses.

What Are Some Examples of Unstructured Data?

Let’s say you need to analyze a series of photos within a customer account folder on your server. Unfortunately, all the pictures are self-expiring and have not been properly named.

In this case, you could end up spending hours trying to find the right photos in order to complete your project in a timely manner. This is why working with unstructured data can be so difficult.

What Does Structured Data Mean For Businesses?

Structured data has plenty of uses for businesses. Keeping this in mind will help you make the most of it.

Let’s take a look at some of the most notable.

Increased Efficiency

The ability to process patterns within data sets makes it easier for businesses to become more efficient. This can result in reduced costs and improved revenue. This is also something that is highly attractive to investors.

Improved Security

The ability to properly store data also means that access is better monitored and controlled. This reduces the risk of unauthorized individuals gaining access to your information.

The cybercrime industry is projected to be worth over $10 trillion by the end of the decade, so security can never be neglected.

More Opportunities

Structured data also makes it easier for marketers to create compelling content. In turn, this can increase brand awareness and lead to more opportunities. Keep this in mind when moving forward.

Leveraging Structured Data Is Essential

The better you understand it, the more efficiently you will be able to use it. So, keep our above guide about structured data in mind so you can make the most of it when the opportunity arises.

For other useful information about technology in business, you can check out the rest of our blog.

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