From Raw Data to Actionable Insights: Building Automated Analytics Workflows

Presentation Title: From Raw Data to Actionable Insights: Building Automated Analytics Workflows with SQL, Power BI

Abstract:
Modern organizations collect vast amounts of data, but turning that data into reliable, actionable insights remains a challenge. In this session, you'll learn how to build an automated analytics workflow that transforms raw operational data into business-ready dashboards using SQL Server, Power BI, and Microsoft Fabric.

Drawing from real-world enterprise analytics experience, we'll explore practical techniques for designing scalable ETL processes, optimizing data models, automating reporting pipelines, and creating interactive dashboards that support faster, data-driven decision making.

Attendees will also learn strategies for improving report performance, maintaining data quality, and reducing manual reporting effort through automation. Whether you're building healthcare analytics, operational reporting, or enterprise BI solutions, these principles can be applied across industries.

Learning Objective:
Design scalable analytics workflows from raw data to reporting.
Build automated ETL and reporting pipelines using SQL Server and Microsoft Fabric.
Optimize Power BI models for performance and maintainability.
Apply practical techniques to improve data quality and reporting reliability.
Identify best practices for creating enterprise-ready analytics solutions.