Cost-Effective Multi-Tenancy Set Up With Self-Serve Dashboards.
Objective
Embed Analytics Into a DEI SaaS Tool.
Obstacle
Embedding Analytics Into The FairHQ Offering.
Outcome
Cost-Effective Multi-Tenancy Set Up With Self-Serve Dashboards.
Background
Fair HQ is a comprehensive platform designed to help companies assess and embed Diversity, Equity, and Inclusion (DEI) across their business operations. By providing tools and resources tailored to organisational needs, it empowers businesses to understand their DEI landscape, identify gaps, and implement strategies for fostering inclusive workplaces.
When starting out, Fair HQ recognised the critical role data plays in driving meaningful DEI progress but faced the challenge in choosing the right tools and finding the best way to embed into their own product.
Challenges
Hosting: Every query to your data warehouse comes with a price tag, and these costs can spiral out of control when hosting data products for multiple companies or use cases. Without careful cost management, scaling your product can put a strain on your resources and profitability.
Embedding: Embedding data tools that feel unique to your product can be a daunting task. While bespoke solutions offer a personalised touch, developing them often requires significant investment. For many startups, this trade-off between customisation and cost can be a difficult balance to strike.
Solution
One Source of Truth: Establishing a robust data stack requires input from multiple disciplines, including architecture, engineering, and analysis. Each of these areas must be carefully considered to ensure the system is scalable, efficient, and aligned with the organisation’s goals. Without a dedicated team, it’s challenging to address these complexities effectively.
Cost Control: To optimise the data stack, we examined the scope of the SaaS tool and focused on how it was being used to determine the ideal frequency for data uploads. Our findings revealed that in nearly every scenario, data could be batch loaded overnight without impacting functionality. This approach significantly reduced operational costs while maintaining performance.
The Proof Is In The Numbers...
6
170+
4
Implementation
Clear Development: We helped FairHQ lay the foundation for their data stack by modelling core data around user behavior—specifically, who was using their platform and how. This insight empowered them to make smarter, data-driven decisions about which features to develop, refine, or prioritise for their users.
