Webinar
Effective Unstructured Data Quality Management with the DQLabs Platform
Learn Why Data Quality Metrics
Matter for Unstructured Data
30th January, 2025
11:00 AM - 11:45 AM PST
Raj Joseph
Founder & CEO, DQLabs
Ensure Effective
Data Quality Management in Power BI
Overview
Microsoft Power BI is a technologically advanced business intelligence application that analyzes and visualizes unprocessed data to generate relevant insights. To assist a company in making data-driven decisions, it integrates best practices, data visualization, and business analytics.
DQLabs provides the ability to connect to Power BI and visualize lineage for the connected reports and dashboards. Integrating DQLabs with Power BI can significantly enhance the overall effectiveness of your business intelligence insights. By ensuring that only trusted, high-quality data is fed into Power BI, organizations can make more informed, data-driven decisions.
Data Quality and Observability for Power BI
DQLabs continuously monitors data quality in real-time as it flows into PowerBI. This integration with DQLabs and Power BI ensures that only trusted data is presented in reports and dashboards. It validates data before it reaches Power BI, detecting issues such as duplicates, missing values, or out-of-range entries.
The integration allows users to track data lineage directly in Power BI, showing where the data originated, and how it ended up in the report. This is particularly useful for understanding the flow of data across various systems.
This integration will help organizations assess the quality of the data feeding into Power BI, evaluating aspects such as completeness, consistency, and uniqueness. This profiling can be visualized within Power BI, giving stakeholders insight into the health of the data.
Seamlessly integrate with your
Modern Data Stack
