Today our guest is David Green, a true globally respected and award winning writer, speaker, conference chair and executive consultant on people analytics, data-driven HR and the future of work.
David is the Global Director, People Analytics Solutions at IBM Watson Talent. He is also the longstanding Chair, of the Tucana People Analytics conference series, the next edition of which – the People Analytics Forum, takes place in London on 29-30 November.
David has spoken at conferences and/or worked with people analytics leaders in over 20 cities in the past year including San Francisco, Sydney, London, Paris, Singapore, New York, Amsterdam, Moscow and Berlin. This affords David with a unique perspective and insight into what’s working, what’s not, and what’s forthcoming in the field of people analytics.
The interview is hosted by Alexey Mitkin, Founder, Publisher and Editor-in-Chief, The HR Tech Weekly® Online Media Co.
1. Hi David, and first of all thank you very much for this interview with The HR Tech Weekly®. The year of 2017 is approaching its end. What made a difference this year in the field of people management and HR technologies?
Thanks Alexey, it is a pleasure to speak with you. For me, 2017 has been a pivotal year in the field as the realisation that people analytics is core to the future of the HR function has become far more widespread. In one of his recent articles (see here), Josh Bersin described people analytics “as the lynchpin of success for HR in the next few years”, and I have to say I completely agree – although that probably doesn’t surprise you!
We still have some way to go in terms of widespread adoption and just as importantly in embedding analytics and data-driven decision making within organisational culture, but the acceptance that this is core rather than peripheral is a welcome momentum shift.
Elsewhere, the move from many companies to develop programs and technologies that personalise the candidate/employee experience in areas such as talent acquisition, onboarding, learning and mobility is also positive. It’s about time that we have rich and personalised experiences at work similar to those we already enjoy as consumers. Data and analytics plays a foundational role in this.
2. People analytics is an area of profound interest to business leaders. What do you see as the main trends in the people analytics space?
You are right to highlight the heightened interest levels in people analytics Alexey. I’d summarise the main trends as follows:
- More and more organisations getting started with people analytics – 2017 seems to have been the year that the talking about when to start analytics stopped and the actual hard work in creating capability began for many organisations. So, the number of organisations in the early stages of their people analytics journeys is on the increase and many will face similar challenges in terms of data quality, skills and capabilities, stakeholder management/education and project prioritisation. Our recent IBM Smarter Workforce Institute research on HR Analytics Readiness in Europe demonstrated though that most organisations still have a long way to go.
- Developing an analytical culture: this is key for organisations that want to develop sustainable capability in people analytics. This means exciting, equipping and enabling HR Business Partners, and clearly demonstrating and communicating the impact of people analytics initiatives within the organisation. This is the focus of many companies that have built initial capability and success in people analytics.
- Ethics and privacy concerns: this continues to be the most important and challenging aspect for practitioners. Research from Insight222 reveals that 81% of people analytics projects are jeopardised by ethical and privacy concerns. With the EU GDPR legislation coming into effect in May 2018 and the emergence of new employee data sources, focus on this area will continue to be high.
- The consumerisation of HR – as per my earlier point, many organisations that have developed people analytics capability are looking at ways to understand and improve the employee experience. In addition to the personalised machine-learning based technologies referenced earlier, this includes efforts to understand and analyse employee sentiment. You can’t do either of these things without analytics so those organisations that have already developed people analytics capability are in pole position to take advantage here.
- Organisational network analysis (ONA) – interest in ONA has exploded in 2017 as organisations seek to better understand team effectiveness and productivity. Practitioners interested in this burgeoning area of people analytics should check out the work of Rob Cross, recent articles by Josh Bersin and vendors like TrustSphere, Humanyze and Worklytics. Expect interest in this area to continue to soar in 2018.
3. On the eve of People Analytics Forum 2017 could you slightly open the curtain on what makes an ideal agenda in modern HR analytics, workforce planning and employees insights then?
I always enjoy chairing the Tucana People Analytics World and People Analytics Forum events as the agenda is always cognisant of the fact that the diversity of delegates in terms of where they are with analytics varies widely. As such, the three tracks: Start (for those getting started), Grow (for those building capability and looking for deeper insight) and Advance (for advanced practitioners and those exploring new data sources) means there is something for everyone. This is hugely important as in my experience the people analytics community is highly collaborative and there is a mutual desire amongst practitioners for shared learning. The Tucana events provide this in spades.
4. It was heard that some attendees of conferences recently formed a viewpoint that the slow adoption of analytics has been because of a lack of practical cases delivered by speakers. Your point of view on the problem will be of great influence.
I haven’t really heard this viewpoint from many. I would argue the contrary in fact that most of the conferences I attend feature numerous and diverse case studies from practitioners. I think you need a balance of speakers from the practitioner, consultant, vendor and analyst communities as each provides a slightly different perspective – indeed much of the innovation in the space is coming from the vendor community. As such, at the conferences I chair, speak and attaned there is normally much to inspire delegates whatever their maturity level when it comes to people analytics. Of course, there is a distinction between being inspired and immitation as each organisation faces different business challenges and has unique cultures. If I could offer one piece of advice to practitioners, whatever their maturity level, it is to channel their efforts on the key business challenges that have the biggest impact within their organisations.
5. What new data-driven HR solutions are on your watchlist and why?
As I mentioned before much of the innovation in the people analytics space is coming from the vendor community and I always recommend to practitioners to keep abreast of the latest developments here. Data-driven companies to look at include: TrustSphere, Alderbrooke Group, Aspirant, Glint, Visier, Crunchr, Workometry, Peakon, OrgVue, Headstart, Worklytics, Humanyze, Qlearsite, One Model, hiQ Labs, Cultivate and StarLinks; and those are just the ones I can remember off the top of my head!
If you’ll forvive the self-promotion, I would like to add that IBM is also doing some groundbreaking work in this space through bringing Watson to HR, particularly in the talent acquisition and the employee experience areas – see more here.
6. What advice would you give to HR professionals looking to boost their careers within the people analytics space?
Well, firstly you should get yourself along to the People Analytics Forum and read my articles on LinkedIn!
Seriously, analytics is a core capability for the future HR practitioner and it won’t be long before the likes of CIPD and SHRM build this into their educational programs. Until then, find some courses (like the Wharton School course on Coursera), attend some conferences, read some books (like The Power of People and the Basic Principles of People Analytics), and seek to learn from analytics professionals both in and outside of HR.
For me, HR is one of the most exciting places in business to work in at the moment and the increased use of analytics and data-driven decision making is one of the reasons why I believe this to be the case.
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