Recommendation systems, like those offered by Datagran's pipeline tool, are increasingly utilized by companies to predict user preferences and enhance customer experiences by analyzing historical data. These systems, which are commonly seen in services like Netflix and Amazon, help businesses not only increase revenue but also foster stronger customer relationships, both online and offline. Starbucks, for example, uses personalized recommendations through its app to suggest food and drink options based on various factors, emulating the personalized experience of interacting with a barista. This personalization strategy has proven effective for Amazon, where the integration of recommendations into purchasing processes and communication channels, such as email, has significantly boosted sales conversions. Datagran offers a comprehensive data workspace that enables companies to centralize and process data to create tailored marketing strategies across multiple platforms, thereby expanding their ability to connect with customers and drive sales.