Turn operational data into trustworthy dashboards and decision-ready insights using core BI, ETL, modelling and storytelling practices.
What is Business Intelligence? Business Intelligence (BI) is the practice of transforming raw operational and customer data into clear, decision-ready reporting and dashboards for leaders across the organization . BI sits at the intersection of reporting and data quality—not only building the metrics the business runs on, but also actively investigating company records to find, diagnose, and resolve data issues before they reach a report . How BI Differs from Data Analytics and Data Science Discipline Focus Scope Business Operational insights, descriptive Current and historical Intelligence analytics performance Deeper, forward-looking Data Analytics Predictive and prescriptive insights strategies Advanced methods, unstructured Complex patterns, new Data Science data knowledge BI is descriptive—it focuses on informing current and historical performance. Data analytics is more predictive and prescriptive, offering deeper insights that guide future strategies . What You Will Learn By the end of this 5-day course, you will be able to: Understand the BI role and its position within organizations Work with data sources, ETL processes, and data quality Design data models and dimensional schemas Build effective dashboards and visualizations Communicate insights through data storytelling Prepare for BI certification (PL-300, Tableau Desktop Specialist) Typical BI Analyst Responsibilities Based on job market analysis, BI Analysts are responsible for : Responsibility Description Reporting & Design, build, and maintain dashboards tracking KPIs Dashboards Data Quality & Audit records, resolve inconsistencies, establish checks Validation Analysis & Perform ad-hoc analysis, document definitions, partner with Collaboration stakeholders
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