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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’

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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’

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How To Develop A HR Data Strategy: Here Are 6 Simple Steps

2 July 2021

Data-driven HR is an exciting, fast-developing field that can transform every aspect of human resources. But, in order to  get the most out of data,  it’s vital every HR team maps  out a clear data strategy that links to wider operational objectives and demonstrates how HR will contribute to those objectives.

Why every HR team needs a data strategy

Data-driven HR isn’t about capturing data on everything in the organisation that lives, breathes and moves. It’s about using data in the smartest possible ways. It’s about using the insights that you glean from data to continually improve decisions, better understand your employees, optimise operations, and add value to the company.

To pull this off, you need to be very clear about what it is you want to achieve and what data you need to  reach those goals.  Counterintuitively, it’s not about gathering tons of data. In fact, you should aim to  collect, store and analyse the smallest amount of data possible to achieve your goals.  Keeping your data as small as possible means you’re  maintaining a tight focus on where you want to go and what data will help you get there.

Besides,  from a people perspective,  it’s never a good idea to start collecting huge amounts of data that you don’t really need – and this is especially true with a lot of HR data, because it’s so personal in nature. Collecting people-related data  with no clear business reason or benefit can lead to  serious  morale problems. No one wants to feel like  Big Brother is  watching them!

In this way, creating a robust  HR  data strategy helps you develop and maintain a laser-like focus on what data is best for you.

Linking your HR objectives to wider organisational objectives

The best kind of HR data strategy is directly linked to the organisation’s wider objectives. In effect,  it  should cascade down from those corporate objectives to create HR-specific  goals that will help fulfil those corporate  aims. Therefore, a good place to start isn’t with HR at all, but the company-wide strategic plan.

Only once you understand the  company’s strategic  priorities can you begin to create your own HR  objectives that link to those  strategic priorities. Therefore, your HR data strategy is about identifying  what you need to achieve in order to contribute to the company’s success.

I cannot  stress enough that you  must  keep this objectives phase simple.  You don’t want to end up with a 100-point list, so focus only on core objectives.  You need to be  crystal clear on what exactly you need to achieve and, in turn, what areas or activities you need to focus on to achieve those aims.  This is the smartest way of  delivering value through data.

Creating your data strategy is about asking the right questions

Having identified your objectives, you can begin to translate those objectives into a data strategy. Any HR data strategy can be easily broken down into  six simple  steps or questions.

Answer all six questions in the order set out below, rather than skipping over various sections:

  1. What questions do we need to answer?

A common data strategy error is to start with the data itself. But it’s actually far better to start by returning to your strategic objectives. After all, why bother collecting data that won’t help you achieve your goals?

So, start by  pinning down the big unanswered questions you need to answer if you’re going to deliver  your  stated objectives. Defining these questions helps you identify exactly what  it is  you need to know.  Again, make sure these questions are strategically important by checking that they link to the company’s  priorities. 

  1. What data will help us answer those questions?

Look at each question you identified in step 1 and then think about what data you need to answer those questions. Much of that data will come from within the company itself, but you may also need to  partner with external data providers.

Establish what data you already have access to, and what you don’t yet have access to. For the data you don’t have access to, do you need to partner with an external provider or can you set up new data collection methods to gather the data internally?

  1. How will we analyse that data?

Having pinned down your information needs and the data you require, next you need to look at your analytics requirements. In other words, how will  you  analyse that data and turn it into valuable insights that help you answer your questions and achieve your goals?

  1. How will we report and present insights from the data?

A vital part of data-driven HR is making sure key insights are delivered to the right people in the right way at the right time, so that the right actions can be taken. Options for  reporting and presenting insights vary from fancy dashboards with real-time access to data through to simple reports with key insights presented as visuals.

At this stage,  you need to define who the audience is for your data and work out how best to get  them the information they need. The HR team itself may be the largest audience, but  no doubt  you’ll also need to present insights to others elsewhere in the organisation.  It’s important you consider this now because your method(s) for presenting data may have critical implications for your data infrastructure requirements. Which brings me to…

  1. What are the infrastructure implications?

Having defined what data is needed, how it will be turned into value, and how it will be communicated, the logical next step is working out the infrastructure implications of these decisions. Essentially this comes down to  defining the software and hardware  that  will enable you to capture, store, analyse and communicate insights from the data you have identified.

  1. What action needs to be taken?

Having answered the five questions above, you’re now ready to define an action plan that turns your HR data strategy into reality. Like any action plan, this will include key milestones, actions, and owners of those actions. As part of this step, you’ll also need to identify training and development needs to help you put this plan into action, and pinpoint where you might need external, expert help (perhaps from a data consultant).

Having a robust strategy is  absolutely essential if you’re going to use data successfully.  As businesses continue to  create unprecedented volumes of data, having a clear strategy will become more important than ever for the HR teams of the future.

Read more about how  to  create and implement a successful HR data  strategy in  my 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

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