People Dynamics

“There’s a tool for that” may very well be the most often provided answer by HR.

And it’s true: HR has a tool for almost everything nowadays and each tool comes with very interesting data. What’s missing, however, are the right type of insights that can help you solve your strategic HR challenges.


Answering your strategic HR questions

People dynamics provides you the insights you need to make substantiated decisions

By combining workplace data, operational data, external data and experiential data (e.g. satisfaction surveys), we provide answers to questions like: How can you limit churn? Which skill sets will be crucial in future? How well do new starters fit within your corporate culture?

Data-driven support for your HR strategy

People Dynamics provides answers to difficult questions. We take away blind spots, objectify sentiments and predict events before they happen.

we commit
to providing answers to questions you hadn’t even come up with yet

Optimizing workforce planning with machine learning at ESAS

Infrastructure services provider ESAS was looking for ways to boost customer satisfaction, while maintaining operational efficiency. If they’d be able to plan more accurately, they wouldn’t have to shift customer appointments between technicians at the last minute and thus improve customer satisfaction.

By analyzing employee and absentee data through machine learning, the drivers of absenteeism were identified, such as overtime and travel distance. Based on these insights, Operations & HR now addresses the issues in employees’ performance management talks, while schedulers can plan far more accurately.

More info? Ask Juan.

Partner - Domain Lead Human Capital

contact Juan Staes on Linkedin

blog

Engage your business in your data journey with a data catalog

To become data-driven, organizations need to establish a rock-solid data culture where everyone recognizes the value of data and takes ownership. One of the keys to supporting and enabling this dynamic in the long run is data governance: clear agreements about the way data is organized and managed throughout the organization, where to find the data for reporting and analytics, and who is responsible. In recent times, data governance tools, like the business glossary & data catalog, (a.k.a. ‘metadata management tool’, ‘data governance tool’, or, more commonly, ‘data catalog’) have proven indispensable parts of a data culture. Here’s why.
 
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How a modern data platform facilitates data transparency

In recent years, ‘data transparency’ has gained a lot of attention. And it’s not hard to see why: with data playing a decisive role in our lives, we demand to know where information comes from and whether we can trust it. Organizations need to keep a clear overview of all the data they’re collecting as well: not just for compliance, but also to tap into its full potential. Here's where a modern data platform can make all the difference.    
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Solving the Industry 4.0-puzzle in discrete manufacturing

There’s no shortage of solutions today for boosting efficiency, lowering costs, increasing safety, or even exploring entirely new business models in manufacturing. And yet, eleven years after the terms ‘Industry 4.0’ and ‘Factory of the future’ were coined, most companies still find it hard to imagine exactly how these individual tools fit together to solve their unique challenges. By mapping these challenges onto delaware’s Industry 4.0 model and bringing it into practice, our experts Piet Vanwolleghem and Rens Bonnez want to help companies see the forest for the trees.
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Ensuring business continuation in the automotive sector: 3 pillars

There’s no industry like the automotive industry: nowhere else is the relationship between OEMs (in this case: car manufacturers) and tier 1 suppliers so critical for long-term business survival. This unique dynamic poses a number of potentially business-breaking challenges. “To become future-proof and ensure business continuation, automotive players need not only to understand these challenges. They must also be able to measure their progress on specific KPIs,” argues delaware’s automotive expert Glenn Huybrechts, who developed a unique KPI framework based on three pillars.
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