![]() You’re tasked with understanding why sales of a new clothing line in a given region are dropping. Imagine you’re a business analyst in a fast fashion brand. How to choose the right BI tool? Reading time: 16 minutes.MetricsGraphics: JavaScript library with standard visuals for time-series data.Chart.js: a tiny library with a multitude of responsive charts and integration options.D3: JavaScript framework-agnostic library for creating ingenious visualizations.Amazon Redshift: fast, scalable data warehouse in the cloud.Snowflake: cloud SQL data warehouse to store and analyze diverse data requiring zero management.Oracle Autonomous Data Warehouse: fully autonomous database that scales elastically.petl: Python general-purpose package for ETL.Apache Spark: building an ETL pipeline in Python, Scala,Java, SQL, and R.Talend Data Fabric: a suite of solutions for data integration with many supported data sources and formats.Informatica PowerCenter: metadata-driven data integration platform.Tableau: understand your data with just drag and drop.Microsoft Power BI: user-friendly platform that works across all devices.Sisense: “no PhD required to discover meaningful business insights”.What is business intelligence and what tools are required to support it?.
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