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The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs. BI aims to deliver straightforward snapshots of the current state of affairs to business managers. and prescriptive (what should the organization be doing to create better outcomes?).
This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML. KPIs evaluate the operational metrics, cost metrics, and end-user response time metrics.
For traditional analytics, they are bringing data discipline to their use of Presto. They ingest data in snapshots from operational systems. Next, they build model data sets out of the snapshots, cleanse and deduplicate the data, and prepare it for analysis as Parquet files. It lands as raw data in HDFS.
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