As we are in the data age, there are a lot of organizations whose data comes from numerous places. These include customer data, sales data, data operations, data acquired from social media, IoT data, and even cloud applications. This is where data integration comes in – it is the uniting of data gathered from various sources in an organization to give a holistic view for enhanced business intelligence. Data Integration Introduction Data integration plays a critical role in breaking down data silos and allowing businesses to make the most of their information, transforming it from raw data into valuable, actionable insights. However, while the benefits of effective data integration are numerous, the process itself is complex and comes with significant challenges. This article defines data integration, explores its challenges, examines the key tools used in data integration, and provides real-world use cases demonstrating its value. Along the way, we will incorporate key concepts like data cleaning, data governance, and data analytics tools, ensuring a complete understanding of the topic.