No dynamic creates or destroys more economic value than the movement of people

Live Data Technologies (LDT), co- founded and led by CEO Scott Hamilton, has established itself as the definitive source for accurate, up-to-date information on job changes and workforce dynamics. By focusing on tracking "who works where in what role," LDT addresses a fundamental need in the business world: real-time job change data paired with insightful, data-driven commentary on major business headlines.

The Power of Workforce Movement

At the core of LDT's mission is a profound understanding of how workforce mobility shapes the economy. As Scott Hamilton explains:

 "Our foundational belief is that there is no dynamic that creates more economic value or destroys more economic value than the movement of people, be it somebody getting promoted, somebody changing jobs, somebody moving cities, changing industries. Essentially the Western economies, the mobility of its workforce just creates a tremendous amount of wealth, but it also creates challenges as well".

LDT's patented technology continuously tracks and verifies employment data across a vast database covering 90 million people at 4 million companies. The company identifies  over 30,000 daily job changes, with their entire database being revalidated every 5-7 days. This comprehensive approach allows them to identify over 1million job changes and 300,000 title changes monthly.

A unique verification process  

Live Data’s patented process leverages information aggregated entirely from the open web.  explicitly avoiding LinkedIn. Hamilton notes “scraping LinkedIn is both a violation of their terms of service and a bad idea. The site is littered with fake profiles as we have noted.”  LDT’s process can be thought of as a form of SERP analysis, primarily leveraging Baidu and Yandex in conjunction with language translation models.   Hamilton describes their process: "We've been prompt engineering Baidu, Yandex, and to a lesser extent Google and Bing long before that term entered our common vernacular. These services have done a phenomenal job aggregating public data, and we’ve learned how to use this data to monitor workforce dynamics. 

Without normalization, nothing works

One of the most significant challenges in building a data business is normalization. As Hamilton explains, there’s an almost infinite number of ways to say that somebody is a VP at IBM,  "We had to normalize that. That's the dirty underbelly of AI and data. Data normalization is a nightmare. It's unsexy, it's a grind, it's people intensive, but you got to do it".

The implications of this technology are far-reaching. For example, LDT's analysis has revealed surprising insights about employee tenure: "When Meta recruits somebody from Google, they're going to be lucky if they get two years out of that person. When Meta recruits somebody from Oracle, they're going to get four years out of that person. And if you recruit from the Army, Navy, or Air Force, you're going to get three times the average tenure rate of every single other employer in the United States".

Hamilton envisions a future of seamless, continuous data connectivity: "I think we're moving away from periodic people data updates toward a system akin to a node on an immutable ledger that serves as a constant, reliable source of who works where in what role."

This shift represents a fundamental change in how businesses approach data, moving from periodic updates to continuous, real-time information flows. As workforce mobility continues to shape economic value, LDT's role in tracking and analyzing these movements becomes increasingly critical for businesses, investors, and decision-makers across industries.