Talent Analytics & The Future of Work
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Talent Analytics & The Future of Work
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Data analytics is about culture, not technology

Enterprises need to figure out the business problems they are trying to solve and foster a data-driven culture to benefit from data analytics.
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Why Data Is HR's Most Important Asset

Why Data Is HR's Most Important Asset | Talent Analytics & The Future of Work | Scoop.it
Human Resources (HR) teams are often data rich but insight poor. If used properly, data becomes the most important asset of any HR team. Here we look at how data can help drive performance across the people functions.
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AI has a gender problem. Here’s what to do about it

AI has a gender problem. Here’s what to do about it | Talent Analytics & The Future of Work | Scoop.it
Submissive female robots, servile voice assistants - does AI need a feminist revolution?
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Linking talent to value | McKinsey & Company

Getting the best people into the most important roles does not happen by chance; it requires a disciplined look at where the organization really creates value and how top talent contributes.
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The robots are here: how humans can build resilience for the automated future

The robots are here: how humans can build resilience for the automated future | Talent Analytics & The Future of Work | Scoop.it
The workplace will change dramatically over the next few decades, powered by the need to becom
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How to make the connection between employee feedback and business results

How to make the connection between employee feedback and business results | Talent Analytics & The Future of Work | Scoop.it
Linkage is powerful because it directly connects employee feedback to the broader performance of the business. It can also be difficult to implement, so it’s important to start simple. Culture Amp's Chief Scientist provides tips on when to use linkage and how to get started.
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Future Of Work: How Using AI Creates An Enhanced Candidate And Employee Experience

Future Of Work: How Using AI Creates An Enhanced Candidate And Employee Experience | Talent Analytics & The Future of Work | Scoop.it
Artificial Intelligence (AI) is penetrating industries from healthcare to advertising, transportation, finance, legal, education, and hospitality. Four lessons in leveraging AI to enhance the employee experience are noteworthy for companies on the journey to create compelling employee experiences.
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Sometimes the best solutions aren’t the most sophisticated

Sometimes the best solutions aren’t the most sophisticated | Talent Analytics & The Future of Work | Scoop.it
Last week I was at Tucana’s People Analytics World 2018 in London. I have a special affinity for this conference as I co-chaired the first three years from when a hundred or so people came together in a small space in Canary Wharf (and when the Tucana team was tiny) to today with several hundred of Europe’s top practitioners met in the QEII Conference Centre in Westminster. Over the five years that the conference has run we’ve arguably seen three phrases in the analytics approaches presented: The decision whether to do People Analytics The academic – an approach to People Analytics where the objective was to run a project like academic research The value where the time / effort concentrated on identifying business value. This year was the first where I had seen value being cited as the prime driver. I’ve written about this before. In 2016 I wrote “The greatest mistake for many in people analytics” where I discuss the need for a loss function to convert the statistical model to business value. In the past too many presentations discussed finding statistical relevant findings but didn’t extend this analysis to the business impact of the change. At People Analytics …
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Why Most Companies Are Helpless Victims of HR Technology

Why Most Companies Are Helpless Victims of HR Technology | Talent Analytics & The Future of Work | Scoop.it
There’s a lot of talk about new applications that make HR faster, better and more data-driven. However, the bigger picture of digital HR is missing.
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So, who’s hungry for the brainfood? – Stephen Li –

At the point of Recruiting Brainfood’s 79th week, I thought I would take a snapshot of where the community currently lies. The heat maps show where the brainfood is really getting consumed. Besides…
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Teams Solve Problems Faster When They’re More Cognitively Diverse

Teams Solve Problems Faster When They’re More Cognitively Diverse | Talent Analytics & The Future of Work | Scoop.it
Find people who disagree with you and cherish them.
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Unconscious bias? Using text analytics to understand gender differences in performance reviews

Unconscious bias? Using text analytics to understand gender differences in performance reviews | Talent Analytics & The Future of Work | Scoop.it
Earlier this year we conducted an analysis on the comments in performance reviews for a major European industrial firm. The purpose of the work was to identify if we could identify gender bias in the language used by managers, and differences in the way that men and women talked about their own performance. There have been a number of articles recently exploring the same problem. In an article in Fortune, Kieran Snyder reported that high performing women were described as more abrasive than men. In a more recent article in HBR Shelley Correll and Caroline Simard noted that women were more likely to be given vague feedback. They also reported that the majority of references to being ‘too aggressive’ were seen in womens’ reviews. The fortune article was based on a small data set – 180 people of which 105 were men and 75 women. The HBR article doesn’t mention what size data set they had to deal with though it does mention they studied 200 reviews from a technology company in more detail. In our analysis we were able to study 36,700 manager comments and 37,300 employee self-assessments. We used our text analytics ‘engine’ that powers our Workometry product to identify the semantic themes behind …
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Amazon’s Alexa – your next Chief Talent Officer? | Organization | McKinsey & Company

Amazon’s Alexa – your next Chief Talent Officer? | Organization | McKinsey & Company | Talent Analytics & The Future of Work | Scoop.it
Digital recruitment – think Monster and LinkedIn – is routine today. But what if a voice-powered AI assistant like Amazon’s Alexa could find the best candidate for a critical role just by asking it?
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Data Journalism for HR: The Beginner's Guide

Data Journalism for HR: The Beginner's Guide | Talent Analytics & The Future of Work | Scoop.it
Data journalism for HR is a powerful tool that enables HR leaders to investigate and shed light on previously unquestioned ideas. However, to really drive organization-wide change, the most successful HR teams don’t just have a lot of good numbers -- they make the data actionable. A key part of thi
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The Science Of Happiness, In Four Simple Work Habits

The Science Of Happiness, In Four Simple Work Habits | Talent Analytics & The Future of Work | Scoop.it
One happiness researcher believes we’re all capable of becoming happier in our jobs. It just takes a little bit of deliberate practice.
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Research: CEOs with Diverse Networks Create Higher Firm Value

Research: CEOs with Diverse Networks Create Higher Firm Value | Talent Analytics & The Future of Work | Scoop.it
Based on a study of 1,212 CEOs.
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10 Trends in HR organisations

10 Trends in HR organisations | Talent Analytics & The Future of Work | Scoop.it
HR organisations are changing. What are some of the trends we are sensing? In this article 10 trends the HR Trend Institute sees. Some inspiration to use, when you are considering to transform your HR organisation.
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