Data Engineering for Website Performance Analysis and Reporting

The Challenge

A client needed to process and analyse website performance data to track visitor metrics, engagement levels, and overall site performance. The existing setup faced:

• Slow ETL workflows – Data pipelines required optimization for faster execution.

• Limited visibility into user behaviour – Insights from Microsoft 365 services (Teams, Outlook, etc.) were not structured effectively.

• Manual reporting inefficiencies – Generating interactive reports and dashboards required automation.

  
  

The Solution

Wiz Digital Services designed and optimized data engineering workflows using Microsoft Fabric, Azure Data Factory (ADF), and Databricks to streamline data extraction, transformation, and reporting.

Key Actions:✔ Migrated ETL pipelines from Azure Data Factory (ADF) to Microsoft Fabric for improved performance and scalability.✔ Optimized data extraction processes to reduce processing time and improve efficiency.✔ Implemented Databricks for data transformation and running advanced analytics on large datasets.✔ Integrated Power BI for interactive reporting, providing real-time insights into website performance metrics.✔ Utilized Azure SQL Database for structured data storage, enabling efficient querying and reporting.

The Results

By modernizing data pipelines and reporting workflows, the client successfully:

• Reduced ETL processing time – Optimized pipelines improved execution speed and minimized delays.

• Automated website performance reporting – Eliminated manual effort in data processing and analytics.

• Gained real-time insights into user engagement – Microsoft 365 data was effectively leveraged for deeper behavioural analysis.

• Enhanced reporting with Power BI – Delivered clear, interactive visualizations for data-driven decision-making.

  
  

  

  
  

Technical Stack

• Microsoft Fabric – Unified analytics platform for ETL and data integration.

• Azure Data Factory (ADF) – Data ingestion and transformation workflows.

• Databricks – Advanced data processing and analytics for large datasets.

• Power BI – Business intelligence and interactive reporting.

• Microsoft 365 (Teams, Outlook, etc.) – Data sources for extracting user behaviour insights.

• Azure SQL Database – Structured data storage and querying.

• Python/SQL – Scripting and optimization of data processing workflows.

Why Choose Wiz Digital Services?

We help businesses streamline data processing, automate insights, and enhance decision-making with high-performance analytics and reporting solutions.

Transform your data into actionable insights with modern cloud-driven analytics.