In this post, the focus will be on the usage of Big Data as a tool to handle, process and analyze the large amounts of data available nowadays to companies.
At a data science event I recently attended, different speakers gave varying perspectives on issues facing companies trying to analyze data and generate profit.
The first speaker, being himself a board director, described the hesitation of board directors to realize the value that a Data Scientist can bring to a company in some occasions.
He mentioned that the lack of scientific knowledge from their side makes this problem common and made suggestions about how the cooperation of boards and Data Science teams can be improved so that critical decisions are being transferred from the later to the former.
The second speaker was a tech leader of a Data Science team and presented how it’s team is following an agile methodology in order to tackle critical business problems of his company. He also described specific characteristics that are really valuable for a data scientist in the current era.
Wish to learn more about this topic and others just like it? Check out these data science workshops taught by some of the brightest minds in the field.
The final speaker gave some examples of bad or good cooperation between business departments and data science teams and suggested several things that could improve the performance and the results delivered.
All in all, the whole meetup was really interesting, because the speakers were from different backgrounds and managed to touch the field of Data Science from completely different perspectives.
