Aqua+ is a market leader in fire safety, specializing in the design, installation, and maintenance of sprinkler and fire protection systems. Innovation and sustainability are at the core of their approach. As a family-owned business recognized by royalty, Aqua+ is committed to ensuring future-proof fire safety. To strengthen their organization further, Aqua+ aims to utilize data systematically to enhance insights and improve processes.
Aqua+ possesses a vast amount of data; however, its value and potential were still ambiguous. The organization aims to adopt a data-driven approach but faced uncertainty of where to begin and which AI applications would be most beneficial. The initial step in this transition involved assessing the data maturity within Aqua+ and identifying the most promising AI use cases.
Datacation conducted a Quick Scan to analyze the current data structure and working methods of Aqua+. This process began with an AI keynote and a brainstorming session aimed at inspiring employees and collaboratively identifying the key opportunities for improvement. We then assessed Aqua+'s data maturity and examined which processes could be optimized using AI.
Based on our findings, we developed an impact-effort matrix that provides Aqua+ with a clear overview of the most valuable and feasible AI applications. This guidance not only highlights the potential opportunities but also outlines a strategic step-by-step plan for implementing these applications effectively.
The Quick Scan offered Aqua+ a comprehensive roadmap for transitioning into a data-driven organization:
