Option B is correct because Advanced Analytics provides insight into which sources are delivering high-quality candidates. Advanced Analytics measures the source quality by calculating the conversion rates of candidates from different sources at each stage of the recruiting funnel, such as visits, applications, interviews, and hires.This helps customers to evaluate the effectiveness and return on investment of their sources and optimize their sourcing strategy1.
Option C is correct because Advanced Analytics allows customers to drill into recruiting data such as dates, brands, and job categories. Advanced Analytics enables customers to filter and segment the data by various dimensions, such as date range, brand, locale, job category, job function, job level, and source.This allows customers to analyze the data in more detail and compare the performance of different segments1.
Option D is correct because Advanced Analytics allows customers to evaluate trends in source performance over time. Advanced Analytics displays the data in graphical and tabular formats, such as line charts, bar charts, pie charts, and tables.These formats allow customers to visualize the changes and patterns in the data over time and identify the sources that are increasing or decreasing in quality and quantity1.
Option A is incorrect because Advanced Analytics does not provide a variety of options for generating graphics to display report results. Advanced Analytics uses predefined graphics that are based on the best practices and standards for data visualization.Customers cannot customize or change the graphics in Advanced Analytics2.
Option E is incorrect because Advanced Analytics does not allow customers to track direct and indirect recruiting costs for job postings. Advanced Analytics does not capture or calculate the costs associated with the sources or the job postings.Advanced Analytics focuses on the candidate behavior and outcomes, not on the financial aspects of recruiting2.
