Data-driven recruitment with POD: Predictive analysis and more

Companies are not the only ones to use data to meet their recruitment targets. Today, even colleges and universities require data to make strategic decisions. Right from deciding what courses to include in their curriculum to analyzing how many students get placed, data plays a significant role in the decision-making process. Using data analytics to assess student performance is the norm today, and TPOs can use this data to guide them better.

Using a data-driven platform, a placement officer gets a clear picture of instances where the student has done well and areas that need major focus. This information is displayed in the form of easily understandable charts and graphs on the platform.

Along with data-driven decision making, predictive analytics can also do wonders in optimizing a recruitment drive. Predictive analytics is nothing but predicting the future trend – in this case, how students will perform during a drive. Predictive analytics supported by data provides an insight into the strengths and weaknesses of each student.

This helps TPOs to suggest areas of improvement to these students and increases their chances of getting recruited during campus placement. The major advantages of using a data-driven platform along with predictive analytics are:

• Identify the areas of development: Every student has a unique performance graph. Some are good at a particular skill such as aptitude or coding, while others possess good communication skills. Companies visiting the campus for recruiting students look for a complete package and target students with both technical knowledge and great communication skills. Using a data-driven tool, you can identify the weak points of the students and come up with a strategy to counsel them.
• Effective counselling: After identifying the weak points of the students, you can plan a counselling session. Here, you can talk in detail about their areas of development and provide them with useful tips on how to crack campus interviews. This way, you can prepare the candidates to face the campus drive with confidence and help them perform well.
• Improve candidate recruitment: You can register students so that they can receive updates and notifications about campus recruitment. In this way, students can allocate more time to prepare for the campus placements and perform better. You can also use statistics of the past to identify the reasons for a better or poor performance of students in previous campus drives and take steps accordingly.
• Prepare for future campus placements: Using a platform that functions on data and predictive analysis, you can predict future campus placements. That is, you can find out the kind of skills that are most in demand and other such crucial details. With this information, you can update the students on what skills to focus on to improve their chances of getting hired and prepare them for the future.

Pod.ai  – A data-driven platform with predictive analytics

If you are a placement officer in search of a tech tool that can help you to make data-driven decisions, Pod.ai is the solution. Pod.ai is an intelligent tool that uses artificial intelligence to deep dive into its well-structured database to create a data-driven and optimized drive for you.

This information is displayed in the form of graphs and charts to give you an insight into the performance of a particular student, highlighting his or her strong and weak points. The tool also uses predictive analytics to predict the student’s chances of getting recruited in the campus placements. Thus, as the placement officer, you will only have to focus on providing effective tips to improve their chances of recruitment in the campus placements.

To learn more about how Pod.ai can help you, visit https://pod.ai/employers