Workplace analytics are the collection, analysis, and use of data to help employers gain insights into what is happening in their real-world work environment. The field draws on many different methodologies from disciplines such as operations management, industrial engineering, business intelligence and analytics, human resources management, and marketing research.

The potential advantages of successful workplace analytics programs include increased efficiencies in workflows; gains in customer satisfaction; heightened levels of employee engagement; workforce stability; reduced turnover costs associated with employee training or recruitment expenditures. Analytics have the potential to identify trends ahead of time so remedial steps can be put into place before they present any problems for an organization's operation.

YAROOMS offers embedded workplace analytics that measure workplace usage, employee satisfaction (via surveys), and people analytics that allow you to better understand how your team uses the office space.

The main benefit of workplace analytics is gaining a deep, data-based understanding of how your office space is used and what makes your employees feel satisfied (or dissatisfied with it). This will further enable you to make better business decisions with regards to your office space (including finding solutions such as sub-renting parts of the office when your employees are most likely to not be in the office).

Office space utilization is a measure of how efficiently office space is being used. It is typically measured by calculating the amount of floor space that is allocated to employees versus the amount of floor space that is actually being used by employees.

Office space utilization is typically calculated by measuring the amount of floor space that's dedicated to office use, and then dividing that number by the total amount of floor space in the building. This gives you a percentage of how much office space is being used.

There are a few other factors that can be included in the calculation, such as how much of the office space is being used for cubicles vs. private offices, or how many people are actually working in the office at any given time. But the basic calculation is simply measuring floor space and dividing by total floor space.

Employee satisfaction is usually measured through surveys or questionnaires. Employers will ask employees a range of questions about their job satisfaction, from how they feel about their work, to whether they feel appreciated and supported by their employer.

Employee satisfaction surveys can also help employers identify areas where they may need to make changes or improvements in order to keep their employees happy and productive. For example, if a majority of employees report that they don't feel valued by their employer, the company may want to consider implementing a recognition program or revising its employee benefits package.

There are a number of different ways that data is used in the workplace. Depending on the company, employees might use data to track sales goals, analyze customer trends, or measure productivity. In many cases, data is also used to evaluate employee performance and to identify areas where improvements can be made.

Overall, data plays a critical role in helping businesses make informed decisions and improve their overall performance. By analyzing data from various sources, companies can gain a better understanding of what's working and what isn't, and they can then adjust their strategies accordingly.

The first step is to align your goals with the business goals. Everyone's data will play a part in that, which is why the key to this process is enterprise-wide involvement. Once that's underway, it'll be important to secure buy-in at every level of the organization. 

The last phase of this process can be summed up in four words: proactive alignment and assessment. Keep an eye on the numbers and always - always, always - reassess your strategy for including analytics throughout your workplace culture. It's what analytics professionals do best after all! 

A data-driven culture isn't about finding a way or uncovering a secret formula; it starts from within people.