Discover why data lakes are superior to traditional data warehouses for embedded analytics in SaaS applications.
Analytics should extract maximum insight right? Well, to do that, you’ll need complete access to all relevant data. Analytics is the process of transforming data into insights. No shortage of use cases exists to help businesses make better decisions to achieve their goals. These objectives often include improving customer satisfaction, increasing revenue, and reducing costs. When SaaS providers embed analytics into their applications, the value they provide to users only increases.
data Additionally, ingesting data from cloud storage like S3 buckets, and unstructured data like documents, text, and images is possible. Qrvey includes data transformations as a built-in feature, eliminating the need for separate ETL services. With Qrvey, there’s no longer any need for dedicated data engineers. Let us show you how we empower you to deliver more value to customers while building less software.
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