Achieving Data Interoperability

The ultimate guide for leveraging location to connect and add value to your data to achieve data interoperability.

The World Economic Forum estimates there were 44 zettabytes of data collected in 2020. That’s 1,000,000,000,000,000,000,000 bytes of data, which is 40 times more bytes in the digital universe than there are stars in the observable universe. If knowledge is power, imagine the potential in those bytes. However, just because data is everywhere doesn’t mean it’s easy to use. For businesses, the challenge is linking data, connecting it to where the market wants to go, and making it useable within the applications they’re using.

To survive, compete, and thrive in the modern business landscape, businesses must be able to harness the growing utility of data. However, acquiring, integrating, storing, processing, and using the explosion of data is an ever-growing challenge. Fragmented data and systems, a mix of specialists and business users, and different environments are among the obstacles to sharing, integrating, and working with the enormous wealth of data in the digital age. What’s more, there an urgency to tap the potential value of existing data.  Data interoperability is the key to harnessing the transformative power of data.

What is Data Interoperability?

Interoperability is ability for things to work together. So, data interoperability then, is the process of making data compatible.  Sounds simple, but in actuality it’s extremely difficult. Enterprise data users must have a common understanding of how data is structured to effectively exchange it across systems. They must also share a common understanding of how the various components of a dataset relate to both each other and to the components of other datasets.

Many companies try to tackle this problem by attempting to get a handle on their data across various organizational silos. Some assign IT the task of organizing and managing all this information.  Others have everything from enterprise architecture to data acquisition and data modeling to data governance covered in various departments. As these disparate groups each tackle their own initiatives, with different ways of bringing in, managing, and processing that data, their decentralized repositories of data and inconsistent processes just lead to additional challenges. In working so hard to handle their data what many miss, is a meaningful approach to how to connect their data. A straight-forward way to organize, manage, and enrich to inform decisions – accurately.

Read this eBook to see how Precisely helps businesses manage and organize data and bring greater location context to their analysis to answer the biggest challenges around data.