Recruiting without Data Analytics, is like fishing in total darkness.
From darkness to light!
Data Analytics help HR teams make the right decisions during the recruitment process, after a candidate has been hired, and while they perform on the job.
For Human Resources pros, some of the greatest challenges occur in the Recruitment process where considerable time is spent to find, screen and interview candidates. Finding the right candidate means not only matching the candidate to all the requirements of the job description; but also, project requirements and company culture. The opinions of many individuals need to be considered throughout the recruitment process from the department leads and sometimes all the way to the CEO. Regardless of how long the candidate selection process requires, the most time-consuming task is filtering through hundreds if not thousands of resumes to reduce the list to those most closely matched.
The Associative Big Data Indexing Engine to the rescue!
With Data Analytics, regardless of how resumes are formatted they can be processed via Big Data Indexing Engine. What is a Big Data Indexing Engine? To put it simply, it is an engine that processes large amounts of data within seconds by cleansing, transforming, and loading them into a database for analysis. Resumes sent in real-time will automatically become available in the HR dashboard already matched to all the job requirements. Percentage match metrics help HR determine which candidates to contact. How many recruiters and number of hours does it take to do all that?
Big Data Indexing Engine does not replace recruiters, it will transform and empower them to become data-driven. It will help them create better and more detailed matching criteria.
After candidates go through the interviewing process, HR team enters their notes in the system to further verify which top candidates fit the role. Background checks, references, and employment history data requests can also be automated to find that shining candidate.
All eyes on the shining candidate!
With the candidate on board, the second challenge is to determine how his/her performance correlates with project and company success. Performance reviews from teams, managers and/or clients are crucial for HR teams to evaluate employees. Consolidating evaluations enable employers to make data-driven decisions on training, promotions, and compensation. With all this data available, can an HR team predict the future performance of employees?
Predict the Future!
Wouldn’t it be great if we could just predict the future when we make decisions and prevent costly mistakes down the road? Perhaps if time travel was possible, the answer would be yes. Since those aren’t viable options, and we know the future is not linear, we need to rely on non-linear thinking. Unfortunately, traditional business intelligence tools and query-based databases follow a linear approach. It is like the blind leading the blind to make predictions about a non-linear future.
Time Travel with What-if Analysis!
The good news is that technology is adapting and some companies like Qlik, have developed non-linear business intelligence solutions. The Qlik associative database can help make predictions about the non-linear future. Consider all possible associations in both historical and current data about employees. Analyze who they worked with, what projects they worked on, how many projects were successful? Review which clients they worked with, what training they received, and access their performance reviews. The data from the past and the present will help you do what-if analysis and predict the possibilities of how employees will perform in different scenarios. With Qlik’s Associative Big Data Indexing Engine, all possible associations between past and current data can be discovered.
Back to the Future!
You hired your shining candidate. They became your shining employee and are driving your business forward. Now, how do you retain that employee? Losing that star employee is one of the most difficult challenge for companies, not just HR teams. When dealing with a lot of data not just about one employee, but all employees and their interactions with each other and clients you may not have visibility to understand each employee’s situation. Information on your company’s culture, diversity, training and compensation can all be vital to decide how to improve employee retention. How can an HR team know whether a shining employee is going to get up one day and leave?
The Balancing Act!
We built an HR Data Analytics dashboard using Qlik to shine a light on the data your HR team needs. Our solution gives them the visibility to make data-driven decisions during the recruiting process, or defining company policies on training or compensation. Our Dashboards can even enable your HR team to make non-linear future predictions on employee behavior.