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Data will revolutionise your hiring process
If you're looking to streamline your recruitment process, make smarter decisions, and create a more efficient conversion strategy, learning how to make better use of your data could be what you need.
Toye Oladinni
2022-10-28
Hiring Resources

Data analytics has shaken the entire recruitment industry up, revolutionising the process of recruiting candidates. Those working in recruitment will need to stay abreast of new developments in data analytics in order to stay ahead of the pack, and continue to attract the right candidates to their business, rather than letting them go to their rivals. 

More than this, the importance of data in hiring is likely to grow - and when the total cost of a bad hire can outstrip the salary of the position by multiple times, it is crucial that you make use of data to keep them to an absolute minimum. In this article, we’ll be discussing how to use data to revolutionise your hiring process, and how inploi’s suite of SaaS products can help. 

Workplace Diversity

According to a recent survey, 86% of job seekers are looking for companies that are actively investing in Diversity and Inclusion initiatives. Given that recruitment by word of mouth or within networks is likely to be biassed towards the types of people already in your organisation, the wide reach of data can allow you to look further afield, and unearth new talented candidates. Data can also allow you to see if your hiring systems are unwittingly biassed, and ensure that they are objective and fair to people of all backgrounds and genders.  

Improving the Quality of Hires

Existing in a candidate driven market as an employer means that competition for top workers is extremely high, and your potential employees have the ability to demand more from the companies they are considering. Data analysis is one way to boost your talent attraction performance and optimise your recruitment, as it can provide actionable insights on which channels are working. 

It might be the case that social media spending on platforms like Instagram or TikTok is capturing the cohorts that your business needs, or it might be the case that your business would be better off looking at traditional job boards like LinkedIn. Data Analysis stops these decisions from being guess work, and allows your business to make educated, data-driven choices. 

Make your data accessible

The quantity of data isn’t the only factor that needs to be considered, the quality of how the data is presented is also clear. Your business may keep track of recruitment data, but if that data is not presented in a fashion accessible enough for those who are not computer wizzes to understand, then it won’t be utilised to its fullest extent to drive strategy decisions. inploi’s Analyse module also features bespoke dashboards, so that the data that is most relevant to your company is placed up front and centre, and data visualisation to make sense of the metrics which are driving your business. 

Smooth your talent attraction

Having a great candidate experience is key to attracting the most coveted workers, as those who have the most choice are most easily dissuaded by one that is slow or convoluted. With data, you can see which stages of your funnel are causing the most drop off, and then redesign your strategy to minimise these risks. 

Data analytics can give you oversight and insight into your candidate journeys, letting you re-engage audiences that have lapsed, and build stronger audience profiles to ensure that you know exactly who you are trying to target. inploi’s Analyse module allows you to build your own candidate cohorts, to keep a laser focus on the right candidates for your business. We provide companies of the calibre of Butlin's and Wagamama with actionable data insights and aggregated analytics, to improve their recruitment return on investment. 

If you want to learn more about Analyse and what it can do for your business, check it out here. And for more tips on how to improve your recruitment, keep up with inploi’s community page, where articles are shared weekly.   

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