How can HR tech help users to own their data?

In this post, Ian Bailie explores some of the latest thinking around employee experience and advocates that HR aims beyond just service-based experience and efficiency. HR has an opportunity to build a technology ecosystem that creates a great experience for all workers (not just employees) but that we also move to adopt more “user-centric” platforms instead of “company-centric” tools. By doing so, we can enable individuals to own their data and to build an intrinsic value for people to manage their own careers and promote lifelong employability.

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The best HR & People Analytics articles of January 2019

David presents his first monthly collection of 2019 in what proves to be a bumper issue, which reflects the growth and depth in the people analytics field. Selections include landmark research by Accenture on the link between gaining trust and realising the opportunity afforded by new workplace technologies and people analytics. Also featured is the latest research by Josh Bersin as well as articles covering: strategic workforce planning, diversity, employee engagement and ONA plus several articles penned by people analytics leaders. Dive in and enjoy…

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How to Move from Descriptive to Predictive Analytics

Data-driven talent management is HR’s seat at the strategic table and now is the time to embrace HR analytics! In this case study, Sunil Meharia explores how the shift from descriptive to predictive analytics can enable HR functions to support their organisation make more strategic, data-driven decisions. Click below to learn more about how you could use predictive analytics in your organisation.

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How do you measure Employee Experience?

We had the opportunity to speak to Aki Ben-Ezra, Senior Director, HR Strategy & Diversity at Adidas Group during Insight222’s Global Executive Retreat. She shared with us how Adidas are evolving the way they measure employee experience and their journey to building their people analytics capability. Click to view the video of her interview as well as the transcript from our discussion.

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How to help HR improve its literacy in data and people analytics

Creating a culture of data-based decision making is key to achieving sustainable success with people analytics. David Green interviews Patrick Coolen and three of his colleagues at ABN AMRO about an innovative training methodology they ran at the bank to improve the data literacy of HR professionals: The Escape Room.

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100+ Conferences to attend in 2019 on people analytics, the future of work and data-driven HR

In this article, David assembles the conferences taking place in 2019 where people analytics, employee experience, HR technology and the future of the week are the dedicated or central theme. There are over 100 conferences chronologically ordered by date and featuring events taking place all over the world from Fiji to San Francisco, and from London to Auckland.

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Can you measure employee fraud?

This blog post from Michael Lieberman explains how you can use the “Item Count Method” to detect an estimated amount of employee fraud or theft within an organisation. The Item Count Method allows survey respondents to remain anonymous when reporting a sensitive behaviour by including the sensitive behaviour of interest in a list of other relatively non-stigmatising behaviours. Click below to learn more about how you could use this technique in your organisation.

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The best HR & People Analytics articles of December 2018

David presents a festive edition of the best people analytics articles of the month for December, featuring two landmark articles on the future of work by Ravin Jesuthasan/John Boudreau and the second by Al Adamsen, which should offer plenty of inspiration to HR and People Analytics leaders over Christmas. There are other articles on: The Future of HR, the growing use of AI in HR, ONA, Employee Engagement, building capability in people analytics and ethics. Enjoy and happy holidays!

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Navigating the hype and impact of AI in HR

In this post, Megan Marie Butler examines the key findings from a recent report on the impact of artificial intelligence in HR, where the authors examine the challenges, current innovation process, and some of the vendors that are using AI to disrupt HR practices. The post examines the four areas of AI life-cycle management: operations, data generation, machine-learning and decision-making.

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