Enhance our existing animal welfare data platform to support real-time analytics and improve decision-making capabilities. The project aims to implement a data mesh architecture that will streamline data access and provide deeper insights into animal health and welfare metrics.
Animal welfare officers and operational managers who need real-time insights into animal health and welfare metrics to make informed decisions.
Our current data platform is not equipped to handle real-time data analytics, which limits our ability to provide timely insights into animal health and welfare. This is critical for improving response times and decision-making processes.
The target audience is ready to pay for solutions due to regulatory pressure to report accurate and timely animal welfare metrics and the competitive advantage gained by being a leader in rapid response to animal health issues.
Failure to solve this problem will result in delayed response times to animal health issues, potential regulatory compliance issues, and loss of credibility as a leading animal welfare provider.
Current alternatives include manually collating data from various sources, which is time-consuming and error-prone, lacking the capability for real-time insights or predictive analytics.
Our platform's unique selling proposition is its ability to integrate real-time analytics and MLOps within a data mesh architecture, tailored specifically to the animal welfare industry, offering unparalleled insights and operational efficiency.
Our go-to-market strategy involves leveraging partnerships with animal welfare agencies and showcasing successful pilot implementations to demonstrate the platform's capabilities and value proposition.