Challenge(s) of Data Paleontologists

Challenge(s) of Data Paleontologists

A Data Paleontologist is a term coined to describe professionals who specialize in uncovering and analyzing historical data. Just as paleontologists study fossils to understand ancient life forms and environments that lived 65+ million years ago,, data paleontologists work with historical datasets to extract insights and patterns that can inform present-day decisions or research.

This is a publication that highlights the challenges of Data Paleontologist, their world of unearthing bones to make meaning existence of species of past (that do not exist in living form any more, but but as reminiscence of bones). Expectations are that new breed of species could be extracted out of the DNA samples from those bones and future value could be extracted.

These professionals may work in various fields, including Financial services, banking, behavioral statistics, econometrics, besides archaeology, anthropology, geology, climate science, and more. They utilize techniques from data science, statistics to analyze datasets that may span decades.

Data paleontologists play a crucial role in understanding historical trends, identifying patterns, and making predictions based on past data. Their work can be instrumental in fields such as environmental conservation, economic forecasting, historical research, and policy-making.

Common challenges with Data Paleontologists is that they have have to create a living world from just from available data (calcified bones, remaining structure) without having proper documentation or knowledge transition.

I would like to welcome your thoughts on how you see this Data Paleotologist contributing in the Linkedin Space especially in the fields of Human behaviour in Financial Analytics, Behavioural Analysis, Historic Model development.

Suggestions are welcome.