OpenSensors Blog

Articles

Yodit Stanton

Yodit Stanton

Yodit has designed and built large scale data systems for various sectors and has played a key role in leading development teams to run critical trading and machine learning infrastructure for FTSE500 companies such as, Deutsche Bank, Man Investments, Nomura and Lehman Brothers. With over two decades of experience as a Data and Machine Learning Engineer, Yodit specialises in predictive modeling for real time systems, social network analysis and middleware development.

Getting ahead of the Curve

A Practical introduction to Sensors, Occupancy Data and Workplace Optimisation for NHS Trusts
Across NHS Trusts, senior leaders responsible for estates, facilities and sustainability are making decisions about space that carry long term financial and operational consequences. 
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Avoiding Gaps in Occupancy Data

For most, the office is an assumed and constant feature of working life to which little thought is given - its daily operations and provisions are conducted in the background and are only thought about when something goes wrong.
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Reclaiming Unused Space

Our customer has 5000 workspaces spread across multiple buildings, each belonging to departments with independently set work rotations. They knew they were underutilised but lacked the data to verify their knowledge and make informed decisions to reclaim unused space.
Now, by working with OpenSensors to gather utilisation data across their office, shared and technical spaces, they are able to reassign spaces based on demand and incorporate saved space into their plans for headcount expansion.
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Why you need a modern booking tool

Demands on space and the workplace changed as organisations moved away from traditional working environments, adopting instead hybrid and agile strategies. Now, successful and effective workplaces hinge on flexibility and adaptability - read on to find out how our booking tool promote both.
 

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5 key steps to know when deploying occupancy sensors

Here are 5 key practical steps you need in the early stages of occupancy studies and workplace transformation projects, focussing on physical, data and strategic considerations.
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