BI - Benefits

Amazon QuickSight has a serverless architecture that automatically scales to tens of thousands of users without the need to setup, configure, or manage your own servers. It also ensures that your users don’t have to deal with slow dashboards during peak-hours, when multiple BI users are accessing the same dashboards or datasets. And with a pay-per-session pricing, you only pay when your users access the dashboards or reports, which makes it cost-effective for deployments with lots of users. There are no upfront costs or annual commitments for using QuickSight.

QuickSight leverages AWS’s proven machine learning (ML) capabilities , making it easy for BI teams to perform advanced analytics (for e.g., what-if analyses, anomaly detection, ML-based forecasting, churn prediction etc.) without prior data science experience. You can use QuickSight’s pre-built models or bring your own ML models from Amazon SageMaker, which integrate with QuickSight in a few clicks. QuickSight also uses ML to automatically generate a summary of your dashboard in plain language, which interprets and describes key insights from your data, so everyone has a consistent and shared understanding.

With QuickSight, you can quickly get answers to business questions asked in natural language. Previously, to get answers for such questions, business users relied on BI teams to update data models and dashboards, which would take several weeks to complete. But with QuickSight’s new ML-powered natural language query capability, Q, you simply use plain English and enter the question in the search bar (for e.g., what is the year-over-year sales trend?) and get answers in seconds. Q extracts business terminologies and intent from users’ questions, retrieves the corresponding data from the source, and returns the answer as a number, chart, or table.