Recruitment Data Analytics

You may have already read about our world-leading parser and search and match software. Our data analytics suite takes recruitment and candidate attraction to a whole new level.

Even the best search software is essentially only going to find what you are searching for. For instance, search for a “customer service manager” and you’ll find, (especially with our search), hundreds of potential candidates. But each of these candidates will already be carrying out this role. The incentive you are offering them is perhaps a better location, more pay or a nicer work environment.

What if you could not only find existing customer service managers, but also people whose next job should be a customer service manager? Now their incentive is much higher.

What if you could suggest to your users a way to increase their salary, or to learn a particular skill to gain promotion, or suggest locations where their current job pays better, or even to completely change their job whilst utilising their existing skills?

What if you could pinpoint where there is a shortage or excess of a particular skillset?

What if you could analyze your data and, at the click of a mouse, find out and summarize exactly what you have in your talent pools. How many candidates do we have in the ICT sector? How many software developers do we have in Dayton, OH?

With smarter data insights and big data analytics you can:

  • Entice candidates with really useful career insights

  • Predict the candidate’s next job and get in before the competition

  • Intelligently find roles for candidates with little or no work history

  • Find candidates who don’t currently have the role on their CV but who can do the job

  • Fully understand the data you hold and make intelligent decisions

  • Re-activate the dormant candidates in your database

Without a proper understanding of your data, you’ll always be groping in the dark. You may be advertising a job when you have the perfect candidate in your own database.

Offering candidates a way forward, promotion, a better salary or even just guidance on what they are best suited to do is the best way to attract new people. It’s what recruitment is all about, it’s what reshufl is all about.

reshufl Predictives and Recruitment Data Analytics

At reshufl we are constant parsing huge volumes of CV/resumé and vacancy data that allows us to extract rich insights from current market data.

Our huge structured taxonomy of recruitment related terms available through our parser technology feeds directly into both our predictive and recruitment data analytics solutions. By constantly parsing huge volumes of data and using modern artificial intelligence and machine learning techniques, we are on the lookout for new and trending roles and skills around the clock. 

By using our taxonomy of recruitment related terms we are able to extract important concepts from the CV/job which allows us to much more accurately spot trends in data. 

reshufl has a unique advantage when it comes to analysing data and predicting carerr behaviour. For example, without the taxonomy and the compression of terms into concepts, the data one would end up with would be essentially meaningless.

Let’s say you have a million CVs. Each of these CVs has “job pairs”. i.e. candidate went from role X to Y, then from role Y to Z. Without conceptualizing the data you will simply end up with thousands of pairs such as 0.01% of “cust svc asst” go on to be a “customer service manager”, 0.003% of “customer service assistant” go on to be a “member svc mgr”. In theory, given we have over 10k variations of “customer service assistant” and over 10k variations of “customer service manager”, you could have a resultant 100 million predicive role clusters… utterly meaningless.

reshufl predictives gives meaningful insights like “35% of X go on to be a Y” where X represents ALL customer service assistants and Y represents ALL customer service managers.

The constant parsing of huge volumes of data allows us to accurately extract up to date role and skill valuation data based on a rolling timeframe so that these valuations are always fresh.

This insightful information can be fed back to candidates to help them achieve their career goals. It also identifies and can prioritize the most important skills

Based on our data, we can generate real time reports looking at specific aspects of the current or history job market.

For example comparing employment trends for a specific role in a specific area  will allow your business to focus limited resources more effectively. 

Role, Skill and Resumé Valuation

 

By looking at the current labour market, Reshufl is able to place current and accurate, market values on real jobs, skills and resumes. This gives candidates a real insight into what employers are really looking for and gives valuable feedback to adapt their resume accordingly.

Resume Gap Analysis

 

By identifying high value roles and skills currently within a candidate’s resumé and comparing those to the best candidates in the sector and other important skills in the sector, it allows the candidate to tailor their skill set and focus on what’s valued in the market. 

Market Intelligence and Reporting

 

By viewing huge volumes vacancy data it’s possible to identify market trends, imbalances between supply and demand and identify skills shortages in various locations. 

Why Choose Us?

Put simply we are the most accurate parser available on the market.

We are also agile enough to grow with your business in ways that some of the incumbent plays can not.

Please see our strategic partnerships page for more information and get in touch with us for more information.