Work.Life - 173tech

Data Launcher

Unified analytics across Work.Life’s locations

Objective

Implement unified, automated reporting across every business function and location.

Obstacle

Siloed data trapped in niche operational tools, making reporting manual, fragmented, and time-consuming.

Outcome

Granular, automated analytics delivering real-time insights into office and meeting room utilisation across all sites.

Background

Work.Life is a fast-growing co-working space provider dedicated to creating exceptional, people-focused workplaces for modern teams.

As the company expanded across multiple locations, its operational data became increasingly complex. Critical information was scattered across platforms like Nexudus, Oracle Netsuite, ACT, and Excel, making it difficult to achieve a unified view of performance.

This fragmented data landscape hindered decision-making, slowed down reporting, and created inefficiencies in managing occupancy rates, financial health, and overall operations. To unlock efficiency and insight, Work.Life partnered with 173tech to build an integrated, automated data ecosystem.

Challenges

Data Silos: Operational and financial data lived in disconnected systems. Nexudus held booking and membership details, Excel tracked localised metrics, and ACT managed sales activity, but none of these systems spoke to one another. This lack of integration prevented leadership from viewing company-wide performance in real time and led to inconsistent, manual reporting.

Manual Processes: Teams had to manually compile and reconcile data from various sources, increasing the likelihood of human errors and discrepancies. This labour-intensive approach not only delayed the availability of critical business insights but also made it difficult to scale operations efficiently. As the company grew, the need for an automated, reliable, and scalable reporting solution became essential.

Solution

Business Knowledge: The foundation of any successful data project begins with a deep understanding of how the business operates. At Work.Life, we collaborated with multiple stakeholders across the organisation to gather insights into the core elements that drive their operations. This involved mapping out the different customer journeys, membership types, and various purchase activities that were central to their business model. By working closely with teams from sales, marketing, and operations, we identified critical touchpoints and business processes that needed to be captured in the data strategy.

Data Stack: Once we had a comprehensive understanding of Work.Life’s business, we moved forward with the next phase: building a robust data model and setting up the data stack. This step a involved recommending and setting up the best tools and technologies to ensure data integrity, processing, and seamless integration across various platforms.

Impact

Automated Pipeline: To streamline Work.Life’s data operations, we implemented automated data extraction and integration from several key platforms, including Nexudus, Excel, Netsuite and ACT. These systems were essential for managing the day-to-day operations across over 20 properties, each with its unique set of data. By automating the extraction process, we eliminated manual data entry and reduced the risk of errors.

Data Modelling: We designed and implemented structured models that covered crucial business areas, including bookings, memberships, renewals, and revenue. These models ensured that data was organised in a way that aligned with Work.Life’s business objectives and was easy to analyse. Additionally, we developed specialised occupancy and session models, which provided accurate insights into space utilisation and customer engagement.