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Exchange Data With Data Interoperability

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Overview

Once upon a time, in a small village, there were three farmers: John, Mary and Tom. Each had unique farming apps to manage their crops and livestock. However, their apps couldn't share data, which often caused miscommunication and misunderstandings.

One sunny morning, they met at the village square and decided to solve this problem. Working together, they created a common language for their apps, allowing them to exchange information seamlessly. This newfound concept of Data Interoperability augmented their farming experience with real-time information sharing.

When John's weather app predicted rain, it automatically alerted Mary's irrigation system not to water her fields. Tom's livestock monitoring app could integrate with John's land mapping data, helping him manage where he could allow his animals to graze.

Just as John, Mary and Tom resolved their personal challenges with Data Interoperability, business collaboration also needs real-time and accurate data sharing, that too in diverse formats. In such scenarios, Data Interoperability becomes an inevitable solution to ensure every stakeholder can contribute through a unified interoperable system.

Read on to understand the concept of Data Interoperability, its origin, working, benefits and more!
TechDogs-"Exchange Data With Data Interoperability"-"No Data Is Too Alien For Data Sharing."
Let’s go back to the village.

As the village farmers continued to benefit from John, Mary and Tom’s idea, word of their success began to spread. Soon, neighboring villages started to adopt similar practices and the concept began to extend into the business world.

One of the village entrepreneurs, Anne, managed a local dairy farm. She soon realized how she could benefit from this idea. She contacted John and the company to explain how she could access their data to supply fresh dairy products whenever the demand spiked. Seeing this, other business owners in the area also began to explore Data Interoperability. A regional courier service started optimizing delivery routes by integrating GPS data from one source and customer preferences from another, all thanks to Data Interoperability.

The concept of sharing data quickly and seamlessly has become a catalyst for business growth and collaboration. Not just businesses but startups and smaller organizations also use Data Interoperability to facilitate the sharing of customer data securely. We bet you didn’t know the role of Data Interoperability in our everyday activities!

If you are an aspiring entrepreneur looking to unify your data sources, dive into this article and know everything about Data Interoperability!
 

What Is Data Interoperability?


Data Interoperability allows different systems, apps or services to easily share data with one another. It helps them exchange information smoothly, even if they're using different formats or platforms. This is handy for organizations because it lets them use data from various sources for stuff like data analytics, data visualization and sharing information.

When a company can apply its data across various departments and analytical scenarios, it gets the most out of the data's business value. This not only boosts overall efficiency but also helps tackle a range of information challenges.

This flexibility proves beneficial for industries across the board, allowing them to harness the full potential of their data for better decision-making and streamlined operations. However, the concept of data management hasn’t always been around us. It has evolved over time to make our lives easy.
So, let’s go back in time to see the evolution of Data Interoperability!

TechDogs-"What Is Data Interoperability?"-"A GIF Of Simpsons - That Was A Long Time Ago"  

Evolution Of Data Interoperability


Interoperability has been a critical part of computing technologies – from early computer networks to the latest blockchain, the journey of Interoperability has been filled with innovation, collaboration and new possibilities. Here’s a quick breakdown:
 
  • Early Computers: 1950s

    Early computers used proprietary data formats and storage methods, making it challenging to exchange data between different machines. One of the earliest attempts at data interchange was the creation of punched cards, which allowed data to be shared between different machines. However, these systems were limited in their capacity and flexibility.

  • Standard Data Formats: 1960s

    In 1961, Bob Bemer of IBM submitted a proposal to the American National Standards Institute (ANSI) for a common computer code. Later, the 1970s and 1980s saw the development of standardized data formats and protocols, such as ASCII (American Standard Code for Information Interchange) and EBCDIC (Extended Binary Coded Decimal Interchange Code), which enabled basic data interchange between systems.

  • The Internet Era: 1990s

    The internet changed the game with the introduction of the World Wide Web. It basically ensured that data would look and work the same way for each consumer, irrespective of the web browsers, computers, etc. Then, web services and RESTful APIs jumped in, making it even cooler by letting apps talk to each other and share data online.

  • Enterprise Oriented Architecture: 2000s

    As companies got into using fancy software for all sorts of tasks, they realized how important it was for these different systems to talk to each other. Enter XML (eXtensible Markup Language) and SOAP (Simple Object Access Protocol) – these techie tools made it possible for data to zip back and forth between all kinds of software applications.

  • Today

    Today, Data Interoperability remains a critical challenge as data continues to grow in volume and complexity. Big data, cloud computing and the Internet of Things (IoT) have introduced new challenges and demands for data interchange, which will be necessary in driving innovation and data-driven decision-making.


However, one would now think – how does Data Interoperability even work? Let’s answer that!
 

How Does Data Interoperability Work?


The working of Data Interoperability can be explained in three basic steps, namely:
 
  • Step 1

    To make different computer systems work together and share information easily, we would require data warehouses or data lakes to gather data from different sources, organize and unify it under one storage space for further use.

  • Step 2

    Next, to make different systems understand each other’s data, extra information (known as metadata) is added to the data’s common vocabulary. It's like giving labels to the data points, so everyone knows what it means and ensures that the data is consistent across all sources.

  • Step 3

    Now, finally, a common language for the unified data needs to be created to unify it. There are two ways to do this: One is data mapping where we connect data from different formats so that it all fits into one common structure and two, data federation where we share and access data from many sources as if it's all stored in one place.


Isn’t that simple? Three steps and your applications can talk with other applications within the organizational ecosystem. You can now understand why Data Interoperability has been making waves. Keep scrolling and learn more about its importance!

TechDogs-"How Does Data Interoperability Work?"-"A Meme Of Epic Handshake - Data Interoperability"  

The Importance Of Data Interoperability


So, why is data interoperability such a big deal for organizations?

Well, it's like the universal translator of the data world. You see, it makes data with different formats and platforms super accessible to one another, helping businesses make smart decisions, cut costs and optimize operations.

Nowadays, organizations juggle between tens of thousands of data points. The trick to making them work together like a dream? Using Artificial Intelligence (AI) and Machine Learning (ML) capabilities with Data Interoperability lets apps communicate with other systems to produce more accurate and data-driven results.

Think of John, Mary and Tom. They three had three different applications. However, with the concept of Data Interoperability, they could not only boost their individual businesses but also enable others to access data to make data-backed decisions.

That’s not the only incentive to use Data Interoperability though. Let’s dig in and explore!
 

Applications Of Data Interoperability


Here are the top applications of Data Interoperability:
 
  • Healthcare

    Data Interoperability in healthcare has become vital since it lets medical professionals collect data from multiple sources, such as patient records, device data, previous history, pharmaceutical purchases, etc. for improved treatment of the patients.

  • Government

    Government organizations can conduct data exchanges with other organizations effectively and efficiently, eliminating challenges such as language barriers, non-compatible systems and connectivity issues.

  • Software Developers

    Just the way John, Mary and Tom could share their data across their applications, Data Interoperability can be helpful for teams developing software applications who want to leverage data from diverse sources.


This widespread adoption of Data Interoperability shows only one thing – that different industries and businesses are making the best out of Data Interoperability. That’s not all though!

TechDogs-"Applications Of Data Interoperability"-"A GIF Of Simpsons - There Are Perks"  

Benefits Of Data Interoperability


There are various benefits of Data Interoperability. However, here are our top picks:
 
  • Robust Data Management

    Data Interoperability makes sure data flows smoothly, with no disruptions. This means organizations can keep tabs on, protect and manage enterprise data easily without bothering about compatibility.

  • Better Productivity

    As no extra steps or data makeovers are needed, there is less fuss and fewer errors. Data Interoperability ensures everyone gets the right information at the right time which boosts productivity.

  • High Scalability

    Thanks to Data Interoperability, organizations can expand their data workflows without hitting any limits as business systems can access and share data without breaking a sweat.

  • Reduced Costs

    Non-interoperable systems often entail steps such as installing middleware, formatting and shuffling data around. With Data Interoperability, businesses reduce such expenses and can save on data transmission costs.


This is great - but where will this lead? How will new data technologies change the face of Data Interoperability? To answer that, let’s peep into the future!
 

Future Of Data Interoperability


With the constantly changing world of technology, organizations won’t have to rely anymore on third-party providers for making sense of data exchanges. New technologies such as Blockchain will provide complete immutability and traceability of data, eliminating the issues with trust in transactions. How will this happen?

Well, this will be accomplished with the help of decentralized networks where all stakeholders, from payers, providers and innovators, can collaborate and share their data in real-time. This will let all the participants on the network connect without any point-to-point gateways. Imagine a group chat where everyone knows a different language yet all of them can communicate and share their knowledge without any barriers. Isn’t that wholesome? Well, that’s the future we may have in store with Data Interoperability!

On that note, it’s time to draw a conclusion.
 

Conclusion


Needless to say, data will always be a prominent part of technology. Just the way humans have different languages to communicate, Data Interoperability has resolved that language barrier for different organizations, applications and technologies to communicate and exchange their data without any barrier. While organizations are sharing their data with other organizations, TechDogs will be always at your service to share knowledge with the latest news, articles and trends!

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Tags:

Data Interoperability Data Exchange Interoperability Data Management Data Sharing Data Integration Structural Interoperability Interoperability Standard Organizational Interoperability

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