Data integration involves combining the organization's data from different sources to create one usable consolidated stream of data. When well-executed, data integration results in one accurate view which can be used for data analysis. With DQLabs, data integration is made seamless by utilizing AI-powered built-in connectors. Traditional extraction, transformation, and loading tools are slow, error-prone, and time-consuming. Data analysts spend a lot of time going through the data, comparing the schemas and formats. Where an organization has a large amount of data, this process can be very expensive and not end up providing the expected quality of consolidated data.