Written by

Bernard Marr

Bernard Marr is a world-renowned futurist, influencer and thought leader in the fields of business and technology, with a passion for using technology for the good of humanity. He is a best-selling author of 20 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations. He has over 2 million social media followers, 1 million newsletter subscribers and was ranked by LinkedIn as one of the top 5 business influencers in the world and the No 1 influencer in the UK.

Bernard’s latest book is ‘Business Trends in Practice: The 25+ Trends That Are Redefining Organisations’

View Latest Book

Follow Me

Bernard Marr ist ein weltbekannter Futurist, Influencer und Vordenker in den Bereichen Wirtschaft und Technologie mit einer Leidenschaft für den Einsatz von Technologie zum Wohle der Menschheit. Er ist Bestsellerautor von 20 Büchern, schreibt eine regelmäßige Kolumne für Forbes und berät und coacht viele der weltweit bekanntesten Organisationen. Er hat über 2 Millionen Social-Media-Follower, 1 Million Newsletter-Abonnenten und wurde von LinkedIn als einer der Top-5-Business-Influencer der Welt und von Xing als Top Mind 2021 ausgezeichnet.

Bernards neueste Bücher sind ‘Künstliche Intelligenz im Unternehmen: Innovative Anwendungen in 50 Erfolgreichen Unternehmen’

View Latest Book

Follow Me

Data-Driven HR: How Big Data And Analytics Are Transforming Recruitment

2 July 2021

Recruitment is undergoing a lot of change thanks to data and analytics technologies. Automation is becoming a bigger factor in intelligent recruitment. New tools are emerging to help HR teams identify and assess the best candidates. And platforms like LinkedIn and Glassdoor give every employer, no matter how big or small, access to valuable big data.

I firmly believe that those HR teams who can seamlessly work with data are the ones who will recruit most successfully in the coming years. Let’s look at just a few ways data can help improve your recruitment activities.

Understanding and boosting your employer brand

A strong employer brand will make all the difference in your attempts to keep employees happy and attract the best talent into the company. One Risesmart study found that 84% of employees would consider jacking in their current job to move to an employer with a fantastic reputation – even if the salary bump wasn’t that big. So how can data and analytics help you develop a strong employer brand?

First and foremost, you need to know what you want your employer brand to be. What do you want your company to stand for? How do you want employees to feel about working for the company? What makes you different from other employers? Having identified this, data and analytics can tell you whether this brand image actually chimes with reality.

You can, for example, conduct sentiment analysis on interview and survey responses and social media posts to establish how successful your employer brand really is. Or, if your company goes through major changes, like a big restructure, you can measure employee sentiment before and after the changes to assess the impact on your brand.

Short, anonymous pulse surveys can tell you how likely employees are to recommend the company to others. Crucially, instead of taking the temperature once a year in a big staff survey, or asking the question in exit interviews, pulse surveys allow you to ask employees once a week, one a month or once a quarter to get a stronger sense of how they’re feeling throughout the year.

However, employer brand isn’t just about keeping your current employees happy; it’s also about how attractive your company appears to outsiders, including ex-employees. It makes sense, then, that a Severance and Workforce Transition Study showed that more and more companies are mining social media and employer review sites like Glassdoor after laying off an employee. In addition, feedback from anyone who has left the company voluntarily will also give helpful insights into people’s perception of your brand.

Focusing on the best recruitment channels

Most businesses use a combination of recruitment channels, typically including newspapers, headhunters, social media campaigns, online job sites and LinkedIn searches. With a range of recruitment channels to choose from, it’s important to have a clear understanding of which channels deliver the greatest return on investment, so you can focus your time, energy and budget accordingly.

The beauty of data is that it allows you to test your recruitment channels and measure their success rate in much more accurate ways. So, rather than focusing on obvious indicators like how many CVs you get in response from different channels (which only tells you quantity, not quality), you could look instead at more valuable indicators like how many offers were made to candidates from particular channels. Or you could assess your most successful employees in particular roles and pinpoint which channels they came from.

The point is to target your recruitment so you’re reaching exactly the kinds of people you want to attract. A good example of this comes from Marriott Hotels and its impressive social recruiting strategy. Marriott Hotels has the largest recruitment page on Facebook, with more than 1.2 million likes and thousands of people interacting with the page each week.

The page obviously lists available jobs, but it also beautifully demonstrates through photos and videos what it’s like to work for the chain. The company actively encourages constant engagement through likes and comments – and this is a two-way street, with Marriott responding to comments. Everything is designed to attract the classic ‘people person’ to Marriott’s employer brand and show the company off as a desirable place to work.

Identifying and assessing talent

Many HR professionals or hiring managers would probably admit that they make appointments based on gut feeling. But data and analytics are helping employers take the guesswork out of recruitment, and find more suitable people who will stay happy and in the position for longer.

Employers in every industry are turning to data, and tools such as Evolv and TalentBin allow them to crunch data in more ways than ever. Tools like this allow employers to find the best person for any given job based on their skills, interests and actions. In addition, big data and AI tools are increasingly being offered by vendors like LinkedIn to sift through candidates’ profiles and identify the most suitable people for a position. Which is just as well considering that 52% of talent acquisition leaders state the most difficult part of recruitment is identifying the right people from a large pool of applicants.

When recruiting a new candidate, personality and fit are just as important as skillset.

So, as well as thinking about the skills, qualifications and experience that are ideal for a specific position, you’ll also no doubt think about culture, fit and personality attributes. All this can be assessed accurately these days. It’s relatively easy to use analytics software to sift through potential candidates and find those with data points that best fit your ‘shopping list’ of ideal attributes – in just a matter of minutes. Of course, the final hiring decision will always come down to a human, but data and analytics can save a lot of time by narrowing the field down from maybe hundreds of candidates to the most suitable 10 or 20. This automation of certain processes frees up the HR team to focus on other activities.

JetBlue Airlines gives us one great example of data analytics being used to find the most suitable candidates. Previously, the company had focused on ‘niceness’ as the most important attribute for flight attendants. Then, after carrying out some customer data analysis with the Wharton Business School, JetBlue was interested to find that, in the eyes of their customers, being helpful is actually more important than being nice – and can even make up for people being not so nice. The company was then able to use this information to narrow down candidates more effectively.

Read more about how data and analytics are transforming recruitment, and other HR functions, in my new book Data-Driven HR. It’s packed with real-life examples and practical ways HR teams can deliver maximum value in our increasingly data-driven world.

Business Trends In Practice | Bernard Marr
Business Trends In Practice | Bernard Marr

Related Articles

The Future Of Work: Are Traditional Degrees Still Worthwhile?

Jobs and the world of work are changing. This raises one very important question: As many roles become increasingly focused on specialized skills and on-the-job experience, are traditional degrees still valuable to employers?[...]

The Real Reasons For Big Tech Layoffs At Google, Microsoft, Meta, and Amazon

Between them, some of the world’s biggest tech companies have collectively laid off more than 150,000 workers in recent months.[...]

How Will ChatGPT Affect Your Job If You Work In Advertising And Marketing?

Recently, there’s been a lot of excitement about ChatGPT – the public preview release of OpenAI’s chatbot powered by the GPT3 language model.[...]

12 Easy Steps To Build Your Personal Brand On Social Media

Building and maintaining my personal brand is an important part of my job. But it's becoming important in so many professions[...]

Top 5 In-Demand Tech Skills For Jobs In 2023

Jobs are changing – to the point that it’s been predicted that 85% of the jobs college leavers of 2030 will have, haven’t been invented yet.[...]

The Top 4 Customer Experience Trends In 2023

Brands do increasingly understand the meaning and value of customer experience (CX) when it comes to building meaningful and lasting connections.[...]

Stay up-to-date

  • Get updates straight to your inbox
  • Join my 1 million newsletter subscribers
  • Never miss any new content

Social Media

Yearly Views


View Podcasts