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EmpiricalHR - data-driven employee decisions - Issue #139

EmpiricalHR - data-driven employee decisions
EmpiricalHR - data-driven employee decisions - Issue #139
At OrganizationView our goal is to make understanding employee opinions and ideas at scale a solved problem. Opinions and ideas are rich and often explain the causes and implications of something both of which are vital to provide decision-makers the confidence to act.
The ‘at scale’ part of the above statement is the important part if you are a large organization like our clients. With a single open text survey question we often see answers between 1 and 2 million words in total, in multiple languages. The only way of analysing such information is via ML-powered text analysis.
As we continue to grow both in terms of clients and ambition our needs for specialist talent increases. We’re currently looking to build our data science team. These are the people who consider what we see as the 3 pillars of what makes successful ML - algorithms, compute & training data - and try to find the optimal solution.
If you have a good understanding of how modern ML works (from first principles) and get excited at solving problems which maybe haven’t been solved before do get in touch.

People Analytics World 2021
I’m at the moment putting the final touches to the workshop that I’m running next week at People Analytics World 2021. The title of the session is “Text Analytics Hacks - a cheat sheet for insightful text analytics” and I’m going to cover topics from how to get better data through to some advanced topics.
I hope that anyone who wants to get more insight and make better decisions from text data will benefit from this session.
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Andrew Marritt | OrganizationView

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