One of the side effects of the modern world is that it is now easier than ever to locate and reconnect with individuals we may have lost track of. Modern people search strategies leverage advanced data tools that didn’t exist even 20 years ago. These include, but are not limited to, social media platforms, public records databases, and, most recently, AI-driven algorithms. In the past, if you were looking for someone from your personal life that you hadn’t seen in years, there was a time when you would have to find them “the old-fashioned way.”
You would write letters, make phone calls, and, most importantly, wait. Hopefully, one clue would lead to another, and so on.
Today, that person is probably on Facebook.
Although the technology varies wildly, the core goal remains the same: these assets work together to streamline finding hard-to-reach contacts whenever possible.
Modern People Search Methods
To be clear, a people search method like skip tracing is certainly nothing new. It did not suddenly develop soon after the dawn of the modern social network.
It’s just that innovations like skip tracing and data analytics have enabled far more efficient and accurate searches than what would have been possible even as recently as a decade ago.
Skip tracing has always used publicly available data sources to find people who don’t want to be found, for example. Modern technology has allowed for expanded data sources. Modern skip tracing tools can conduct searches across a wide range of both public and private databases. Yes, this includes the aforementioned social media. But it also includes phone records, credit reports, and even certain government databases.
The expanded number of data sources—and the massive volumes of data that come with them—allow searches to be far more comprehensive. This helps to highlight trends and patterns that other traditional methods may have missed.
Real-time Results
For skip tracing, things have also gotten to the point where access to real-time information is a built-in part of the process. If you went back 40 years and looked at the equivalent of skip tracing, you’d be looking at a comparatively slow process. Do you want to look at court records to find out who owns a piece of real estate? You have to go to a physical location in your city and make that request in person. If you’re trying to find someone who may not want to be found, you’ll probably have to go knock on doors and start asking questions.
With modern technology, however, skip tracing has evolved into what is essentially a story that takes place in real-time. For example, if you want to know a person’s current employment status, you can probably find that information using social media in a minute or two. You can easily get their phone number so long as you know the bare minimum of other information about them.
Speaking of social media, the sheer volume of data captured by most modern smartphones has also ratcheted things up. If someone takes a photo on their smartphone and posts it to social media, it is likely to have GPS location data attached to it. You can see exactly where it was taken, and if it features other people, you now have additional leads that you wouldn’t have had in the past.
No Connection Is Ever Truly “Lost”
Data analytics are tools that have made it so that no connection is ever truly “lost” in the modern era.
If you look at how skip tracing has expanded as outlined above, you’ll notice that you’re walking with far more data than you ever would have. Skip tracers almost immediately have more information than they know what to do with—now, it’s about cutting through the noise and getting to the true narrative hidden underneath.
Data analytics and big data integration are a big part of how that happens. They offer a wealth of information that can be further analyzed and refined to uncover insights. They allow for real-time information aggregation, data cleaning, and sophisticated interpretation. The ultimate goal is finding the information you’re looking for faster and easier than ever.
Based on your historical data, you can also use predictive analytics to try to anticipate what might happen next. This is the use of historical data and statistical algorithms to essentially “forecast” the future. If you’re trying to prevent fraud, for example, you likely have a lot of data pertaining to what fraud looks like. You also know what conditions arise before the fraud takes place. Predictive analytics can help illustrate when that might happen again.
Conclusion
In the end, these are just a few of the real-world applications and success stories that illustrate technology’s increasingly important role in modern people search. Sometimes, people don’t want to be found for malicious reasons. They may be trying to skip out on debt or avoid taking some type of responsibility with the law. In those situations, techniques like skip tracing are available.
Maybe you’re simply trying to reconnect with a long-lost loved one and are having a difficult time doing so through traditional methods. For those situations, technologies like skip tracing are available.
The overall point is that technology dramatically simplifies and speeds up the process of reestablishing connections. You’ll spend less time looking for that loved one so that you can devote more of your time and attention to reconnecting with them, which is a gift in itself.
Modern technology also dramatically enhances our ability to navigate complex social networks, ensuring no connection is lost. When you think about how many ideas like these have advanced in even the last ten years, it’s truly exciting to think about what the next decade might have in store for us all.
Photo by henry perks on Unsplash
Rashan is a seasoned technology journalist and visionary leader serving as the Editor-in-Chief of DevX.com, a leading online publication focused on software development, programming languages, and emerging technologies. With his deep expertise in the tech industry and her passion for empowering developers, Rashan has transformed DevX.com into a vibrant hub of knowledge and innovation. Reach out to Rashan at [email protected]
