Quick summary: Business Intelligence (BI) is the set of practices and technologies that companies use to collect, clean, model, and analyze business data. The goal is to provide operational dashboards that help stakeholders make informed decisions.
The Data-to-Decision Pipeline
Raw data is messy. It lives in multiple tables, customer logs, and sales forms. Business Intelligence is the pipeline that cleans and structures this data. It takes raw records, imports them into data warehouses, builds relational models, calculates metrics (like margins and customer lifetime value), and publishes them as interactive reports.
Key Tools and Skills in BI
A successful BI setup relies on a specific tech stack:
- SQL: The standard language to query database tables.
- Power BI / Tableau: Data visualization platforms to build dashboards.
- ETL Process: Extracting, transforming, and loading raw data to maintain clean, updated data repositories.
High-Value Cluster Tools & Skills
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SQL Joins & ETL
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Data Modeling Schema
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DAX Measures Logic
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Interactive Dashboard UX
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Excel & Looker Studio
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Python (Pandas)
Build Live BI Systems at ISS
Every student in the ISS Data & BI program builds and deploys three functional dashboard projects:
- Startup KPI Revenue Dashboard: An interactive operational dashboard tracking revenue and margin parameters.
- Logistics Operations Tracker: A report analyzing regional shipment delays and driver metrics.
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