Human civilization has had technological advancements one after the other over the years. These advancements have taken over the recruitment industry too. The recruitment industry has come a long way, refining and making its recruitment process more advanced and easier for both candidate and management.
In recent years the recruitment process has evolved and continues to do so! It is all about data-driven recruitment now, with a pinch of human emotions! Many new trends came in the recruitment industry over the past couple of years, years pass and trends changed!
Campus recruitment is one of the primary recruitment channels for a company. An efficient campus hiring process helps an organization to tap a passive and energetic pool of young, skilled, and fresh graduates. These freshers are selected on the basis of their skill proficiency. It is important to check the basic skill proficiency of the candidate to understand if the candidate is a fit for the company or not.
Campus hiring has its fair share of challenges. In the midst of all the challenges companies go to various campuses with an implemented strategy to hire students and graduates and this is what campus hiring is all about. As it helps organizations to score the best talent straight from the campus.
In June 1991, James Gosling, Mike Sheridan, and Patrick Naughton initiated the Java language project. The original intention behind designing Java was for interactive television: however, it was too advanced for the digital cable television industry. Also, Java’s original name was Oak after an oak tree that was outside Gosling’s office. Then, the name changed to Green and, at last, was renamed Java, after the coffee that comes from Indonesia.
Harvard Business Review suggests that 72% of the millennials hear about companies from their friends, 68% through a job portal, and 45% on campus. Campus recruiting is the term used for hiring students and recent graduates straight from college or university.
Data Science is booming and getting in demand with every passing day. We have already discussed this in our previous blog, i.e., The Rise And Rise Of Data Science! This significant boom in the data science industry came because organizations today are making a shift from CRUD (Create, Retrieve, Update, Delete) system to systems of insight. Thus, traditional ways of data processing are no longer suitable for processing a huge amount of data (big data) in fields like:
Remember the simpler times when marketing was all about ATL, BTL, and TTL? These acronyms mean above the line and below the line, through the line respectively. This basically means when you had to do the marketing of the products on big billboards, television, newspaper, and via flyers.
It’s no secret that out of all the industries “Tech” (software) faces the most attrition. Even when it provides some of the best benefits among the different industries present in the market.