Maya, a data analyst employed by a fast-growing European fintech firm, works under the supervision of the company’s COO. Tasked with identifying operational inefficiencies within the organization, she and her team were under immense pressure to uncover opportunities for streamlining daily operations.

Despite leveraging existing survey data and gathering anecdotal evidence, Maya realized there was an inadequate amount of data to make informed decisions. Feeling lost, she recognized the company’s communication and collaboration culture was problematic, but lacked the data to pinpoint specific areas of inefficiency and silo formation.

Aware that she needed access to actual digital calendar and meeting data to understand collaboration patterns, Maya reached out to Temporall. She was relieved to discover that the platform could collect, analyze, and visualize a range of data points, such as the number of meetings, manager attendance, meeting duration, and representation in meetings.

With Temporall’s insights, Maya could better understand how work was being accomplished through meetings across the organization. This enabled her to eliminate unnecessary meetings, promote collaboration, and help enhance efficiency throughout the company.