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The traditional, nine-to-five work arrangement had been undergoing tremendous shifts since the 1990s when solutions allowing remote work started to transform how we perceive and approach workspace management.

Video conferencing and telecommuting solutions are empowering teams to meet their deliverables from the comfort of their homes, resulting in better work and life balance, location independence and increased money savings.

Today, embracing the hybrid office model is no longer a perk; it’s a value-add for companies seeking to retain top talent, reduce operational and real estate costs and maintain operational efficiencies in the digital era.

What is Data Fusion, and why you need it in your workspace management solutions

Companies must re-imagine workspace management to fit hybrid office models and remain competitive

Organizations are facing a challenge where the number of in-office or in-store employees is dynamic, sometimes shifting from week to week, day to day or even hour to hour.

As more companies embrace the hybrid office model, meetings are increasingly held online, leaving previously packed conferencing rooms vacant, even at peak hours.

With so much office space that’s going unutilized, organizations need workspace management solutions to obtain fact-based occupancy insights so they can reduce leasing, maintenance and repair costs (to put things into perspective, rent and mortgage are the second biggest expense for businesses after wages and benefits).

For this reason, it’s not surprising that companies are increasingly demanding superior workspace management tools. They help organizations cut square footage and accrue significant savings that they can funnel into new product development, market expansion and driving more meaningful growth.

This is where Data Fusion comes in: It takes workspace management to a new level because it integrates multiple data sources to generate insights that are considerably more consistent, accurate and relevant than those produced by a single data source.

Data Fusion unites unrelated inputs for a fuller picture

Compared to data generated by a single sensor, multiple sensor-based data fusion leverages the strengths of each individual sensor, producing information that’s more intelligent and precise.

In other words, Data Fusion combines disparate data obtained from a heterogeneous set of sensor modalities and applies software algorithms to deliver data that’s more comprehensive, robust, and complete.

The most significant benefit of this process for organizations is that they get actionable insights that are greater than the sum of all individual inputs.

The best way to use data fusion is to power it by AI which enables sensor technology to be performed with greater speed, accuracy, and efficiency.

Data Fusion-supported workspace management empowers companies to make higher-quality decisions

Many existing workspace management solutions rely on different types of sensing devices like cameras, Infrared technology, RGB cameras, radars and IoT sensors that produce output signals after detecting occupancy changes in their environment.

Data Fusion combines all the signals as the data trickles in to extract a wealth of information for far richer insights.

As a result, companies gain a much deeper understanding of the occupancy of their facilities that they can use as part of their central analysis.

For example, using a vision camera alone to track the location and movement of a person is going to generate less accurate results than when coupled with other sensing devices.

Relying solely on radar technology will also procure less-than-ideal results because the radar can detect the subject’s location only while the subject is in motion.

But when companies gain laser-sharp occupancy insights about their facilities from multiple data sources, they can make more intelligent decisions that reduce costs and foster growth.

Specifically, they can choose to lease smaller office space if the number of their in-office employees goes down or hire more or less staff, depending on customer footprint at their location.

In short: Data Fusion guides workspace management decisions with accuracy and intelligence

As companies continue to adapt to hybrid office models with fewer in-office workers, they’re compelled to reevaluate their leasing contracts that are no longer financially justified.

With more and more people tuning in to telecommuting and video conferencing, organizations don’t want to pay for underused premises, whether they are offices, meeting rooms or washrooms, seeking instead new leasing models that make more sense for today’s digital workforce.

Data Fusion lets organizations track occupancy with fact-based insights from multiple data sources with relevance and precision so they can find out which facilities continue to add value and which don’t.

As a result, they can make confident decisions that reduce spending, drive operational efficiencies, and allow them to channel savings into growth-generating activities.

EAIGLE’s workspace management solutions leverage Data Fusion to empower organizations with the most accurate real-time occupancy data so they can reduce costs, power growth, and stay ahead of the game. To find out more, please visit