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 over 20 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations. He has a combined following of 4 million people across his social media channels and newsletters and was ranked by LinkedIn as one of the top 5 business influencers in the world.

Bernard’s latest books are ‘Future Skills’, ‘The Future Internet’, ‘Business Trends in Practice’ and ‘Generative AI in Practice’.

Generative AI Book Launch
View My Latest Books

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

The 3 Vital Ways HR Teams Should Be Using Data

2 July 2021

Any average HR department is rich in data. Personal employee data, recruitment data, and performance KPIs are just a few examples of the kinds of data a typical HR team is sitting on. Now, as our world becomes increasingly ‘datafied’, HR teams have more opportunities than ever before to capture and analyse data, which has given rise to the terms ‘data-driven HR’ and ‘intelligent HR’.

But what are the smartest ways to use all this data, and make HR more data driven? There are infinite ways to use data, but, in their most basic sense, they boil down to three main categories: using data to make better decisions, using data to better understand your customers and using data to improve operations.

These three categories are just as applicable in the world of HR as they are for, say, marketing or sales. Let’s look at each category in turn.

1. Making better decisions

More and more business teams are building cultures of data-based decision making, as opposed to basing decisions on gut feeling or how things have always been done. HR is no different. Data-driven HR, the theme of my new book, is all about making HR smarter, and making smarter decisions is a critical part of this. There are two key strands to making better HR-related decisions. The first is the HR team itself making better decisions about its own activities and people-related challenges (such as, finding ways to make recruitment and performance reviews smarter).

Here’s a great example of data-driven HR decision making in action. Analysts Gartner compiled a study for a US financial services company that examined the performance of employees within their first two years at the company. What they found was that, while all the best performers had a degree-level education, their individual grades and the particular school or college they attended had no bearing on their success or failure. The company went on to implement entirely new screening processes that gave no weight to the ranking of the college attended, or the grades attained. Instead, they favoured those who had completed any college course, and gone on to demonstrate success in a job after college. The business increased their revenues by $4 million in just six months.

The second strand is the HR team helping others in the organisation to make better decisions using people-related data. After all, leadership teams need HR- and people-related data to make their own decisions, and the intelligent HR team is well equipped to support this process. But there may also be other functions within the business that could make meaningful improvements if they only had access to the right data.

For example, tools like Glint’s employee feedback app allow companies to access real-time insights on how people are feeling about their work and employer. From the range of vegan food options in the canteen, to the quality of corporate communications over a recent merger, such feedback tools can deliver valuable insights to those across the business who need them.

2. Understanding your customers

Every time Netflix recommends a new TV series you might like, or Spotify recommends an artist you’ve never heard of, it’s because they’ve analysed your activities and gleaned useful information about your behaviours and preferences. They understand what makes you tick (better than you might be comfortable with!), and can therefore meet your needs more effectively. Even a humble customer satisfaction survey is an example of using data to better understand customers. So, it’s no wonder this is one of the most common uses of data.

If you’re a HR professional, your customers are first and foremost the organisation’s employees (and, to some extent, the leadership team). So, the more you can understand your customers, the better you can serve them.

There is both an internal and an external side to this category. Internally, the HR team can use data to better understand employees, including how happy they are, how engaged they are, how safely they’re working and so on. For example, many businesses are using short ‘pulse’ surveys to measure how staff are feeling on a monthly, weekly or even daily basis. This allows them to accurately gauge levels of staff engagement, without the need for traditional costly and time-consuming staff surveys.

Externally, data can help the HR team look beyond the organisation and understand its employer brand (using platforms like LinkedIn and Glassdoor). Data can give valuable insights on your company’s perception from the outside, and how to attract the kind of talent you need to succeed.

Clearly, this category has a lot of crossover with making better decisions. Armed with a better understanding of your customers, you can make much smarter decisions on how best to serve them – decisions rooted in data, rather than assumptions. That’s why this category and the first often go hand in hand.

3. Improving operations

Finally, data provides a way for HR professionals to look at their key HR functions – like recruitment, for instance – and answer critical questions like ‘Where do we spend most of our time and effort?’ and ‘How can we streamline and improve these processes?’ Data analysis can help identify areas for improvement, and ways to optimise processes.

Increasingly, this is about automating as much as possible, which largely means putting internal systems in place that allow you to automatically make use of people-related data or perform certain functions.

But this category isn’t all about automating processes and replacing HR professionals with algorithms. In its broadest sense, it’s simply about looking at key processes and activities, understanding what the HR team spends its money and time on, and looking at how to make those processes better.

One HR function that’s becoming increasingly optimised by data is employee safety and wellbeing. One great example comes from Fujitsu’s Ubiquitousware package, which collects and analyses data from devices such as accelerometer sensors, barometers, cameras and microphones to measure and monitor people as they go about their work. Data such as temperature, humidity, movements and pulse rate can be used to identify when workers are exposed to too much heat stress, for instance. The system can even detect postures and body movements to sense a fall or estimate the physical load on a body.

Read more about how data and analytics can help you make better decisions, understand your customers, and improve operations in 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 Top 5 Artificial Intelligence (AI) Trends For 2024

Today, we're diving deeper into the five most significant AI trends set to reshape our world in 2024.[...]

The 10 Most Important Customer Experience (CX) Trends In 2024

Good sales and marketing, quality control, pricing, customer service and after-sales all help businesses to generate sales.[...]

From Digital Gucci To Blockchain Supply Chains: Retail’s Web3 Revolution

From the early days of online shopping to the rise of influencer marketing, there’s no doubt the internet has revolutionized how we shop and make purchasing decisions.[...]

Generative AI: The Secret Weapon Of Successful CEOs

Remember how amazed we were when ChatGPT made its debut just a year ago? Well, as we’ve since learned, that was only the beginning.[...]

Virtual Reality, Real Business: The Impact Of The Metaverse On Companies

Metaverse has undoubtedly been one of the most talked-about concepts of the year. At the start of 2022, the focus was on Facebook’s surprise re-branding of itself to Meta Platforms.[...]

The Future Of Medicine: How AI is Shaping Patient Care And Drug Discovery

One of the most exciting aspects of AI is its implications for healthcare. Today, doctors and other medical professionals routinely augment their human skills and experience with the help of intelligent machines.[...]

Sign up to Stay in Touch!

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 over 20 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations.

He has a combined following of 4 million people across his social media channels and newsletters and was ranked by LinkedIn as one of the top 5 business influencers in the world.

Bernard’s latest book is ‘Generative AI in Practice’.

Sign Up Today

Social Media

0
Followers
0
Followers
0
Followers
0
Subscribers
0
Followers
0
Subscribers
0
Yearly Views
0
Readers

Podcasts

View Podcasts