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In 2001 LinkedIn was launched, which allowed users to post their resumes and skills online. [9] Since, many SaaS companies began providing job seekers with free online résumé builders; usually templates to insert credentials and experience and create a résumé to download or an online portfolio link to share via social media.
Resume parsers analyze a resume, extract the desired information, and insert the information into a database with a unique entry for each candidate. [1] Once the resume has been analyzed, a recruiter can search the database for keywords and phrases and get a list of relevant candidates.
For example, a data analyst might analyze sales data to identify trends in customer behavior and make recommendations for marketing strategies. [ 37 ] Data science, on the other hand, is a more complex and iterative process that involves working with larger, more complex datasets that often require advanced computational and statistical methods ...
Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [10] Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1]
A business analyst should have knowledge in IT and/or business, but the combination of both of these fields is what makes a business analyst such a valuable asset to the business environment. As a minimum standard, a business analyst should have a "general understanding of how systems, products and tools work" in the business environment. [2]