The New Data Economy: How LinkedIn Data Infrastructure Is Quietly Transforming the Future of Business Intelligence

Some time ago, most businesses viewed data as a by-product of their operations. It was useful for reporting and documentation, but it wasn’t recognized as a key growth driver. However, with the advent of cloud computing, networking, storage, machine learning and automation, data has become one of the most valuable resources a business can hold. Now, it is seen as the “backbone” that is essential to running applications, powering services, and making better decisions for leadership.

One of the most obvious examples of this change is LinkedIn. With a growing global population, the company was encountering the same challenge as many growing businesses: how do you keep growing, supporting business growth, and keeping things running smoothly while having to deal with an increasing volume of data? It wasn’t just a matter of more storage. Instead, LinkedIn developed an infrastructure that distributes data and delivers it efficiently and at a massive scale.

The key here is that it is real-time data driven. With LinkedIn’s infrastructure, data is flowing through the systems without waiting for the processing of information in batches. This translates to faster services response, meaningful recommendations, and timely insights to decision-makers. This is the business world nowadays, where you have to be fast as much as accurate.

Another interesting lesson from LinkedIn’s journey is that great data infrastructure isn’t built for one application alone. The company invested in platforms to be able to accommodate a lot of different services and continue to be reliable as demand grows. That long term investment established a flexible foundation for future changes in technology and business. Some of the technologies created during the process have even been made available as open-source projects, which has enabled other organizations to share in the same engineering concepts.

Of course, building a powerful data platform isn’t only about technology. When the data becomes an integral part of an organization’s infrastructure, trust is as crucial as performance. Good systems are characterized by good governance, consistent data quality, resilience, and responsible management. Businesses also require skilled personnel to help keep these systems up and running and continue to thrive in the future.

Professional businesses are increasingly depending on data for analysis, automation, and market insights, and developers are searching for ways that can be accessed quickly and efficiently. This can be achieved either via the LinkedIn API or trusted data solutions, with the same aim being to bring trustworthy data into the business workflow. When it comes to making that easier, tools like Lix-it.com can be helpful for organizations that want to streamline the process without compromising on the larger picture, facilitating data extraction and automation.

The most important thing to learn as LinkedIn has matured is that business intelligence starts from good data infrastructure, not from dashboards or AI models. Organizations have a stronger position to be innovative and make confident decisions when information can move in a timely fashion, remain reliable, and is managed responsibly.

In a new data economy, companies that make data an integral part of their infrastructure will prosper. As LinkedIn has found, smart, fast and intelligent business is possible thanks to the technology that users never see, but they do realize is there in the background.

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