A marketing firm streams clickstream events to Kinesis Data Firehose and stores them in Amazon S3. They plan to build dashboards in Amazon QuickSight for hundreds of users across departments and need a scalable, cost-effective solution with daily updates. Which combination of steps meets these requirements most economically? (Choose two.)

Using Amazon Athena to query clickstream data directly from Amazon S3 is cost-effective because you pay only for the data scanned, and it scales automatically. This avoids the overhead and cost of managing a dedicated data warehouse like Amazon Redshift, which is better suited for complex analytical workloads and large, structured datasets. Amazon S3 analytics is for storage analysis, not querying data. Accessing the queried data through QuickSight SPICE with a daily refresh is optimal. SPICE caches the data, providing fast dashboard performance for hundreds of users without repeatedly querying the underlying data source (Athena), which would increase costs. A direct SQL query from QuickSight to Athena would incur charges for every user interaction, making it less cost-effective and potentially slower for many users.