Reporting and Analytics in Data Warehousing

Key Concepts and Architectures

Understand the fundamental principles behind data warehousing reporting and analytics:

• OLAP (Online Analytical Processing): Explore multidimensional data analysis, including cubes, slices, dice, and drill-down operations.
• Data Marts: Learn how to design and implement subject-oriented data marts for targeted reporting.
• Reporting Tools Integration: Discover how to connect and leverage popular reporting tools with your data warehouse.
• Dashboards and KPIs: Master the art of creating effective dashboards and Key Performance Indicators for business intelligence.

Building Effective Reports

This guide covers best practices for designing, developing, and deploying reports that are accurate, insightful, and user-friendly.

Report Design Principles

Learn about layout, visualization, and user experience best practices to ensure your reports are easily understood and actionable.

Querying and Data Retrieval

Understand efficient querying techniques using SQL and other relevant languages to extract the right data for your reports.

SELECT
    c.CustomerName,
    p.ProductName,
    SUM(od.Quantity) AS TotalQuantitySold,
    SUM(od.Quantity * od.UnitPrice) AS TotalRevenue
FROM
    Customers c
JOIN
    Orders o ON c.CustomerID = o.CustomerID
JOIN
    OrderDetails od ON o.OrderID = od.OrderID
JOIN
    Products p ON od.ProductID = p.ProductID
WHERE
    o.OrderDate BETWEEN '2023-01-01' AND '2023-12-31'
GROUP BY
    c.CustomerName, p.ProductName
ORDER BY
    TotalRevenue DESC;
                

Report Deployment and Distribution

Strategies for making your reports accessible to the right stakeholders, including scheduling and access controls.

Advanced Analytics Techniques

Go beyond basic reporting with these advanced analytical methods: