Data scientists face challenges in deploying machine learning models into production, especially with large datasets, which often leads to project failures. Tools like Flask can facilitate this process, but they can be complex and slow. Companies need faster decision-making and model testing, which is where Datagran steps in by managing the ML Ops, scheduling, and API elements, thus allowing businesses to iterate and deploy models efficiently. Datagran's REST API and Webhook Actions enable seamless integration of machine learning results into business applications, demonstrated by Unilever's use of the REST API to integrate data into their Salesforce mobile devices. This solution allows for real-time data transfer and easier deployment of machine learning outcomes, enhancing business growth by making data actionable.