Alation Brief
Microsoft Power BI continues to be a leading platform for data visualization and business intelligence. With its ability to transform complex data into actionable insights, organizations worldwide rely on Power BI to drive decision-making.
Alation's new Azure Power BI connector empowers organizations to fully leverage their Power BI investments. By seamlessly integrating with Power BI Cloud and Azure Government Cloud, Alation provides comprehensive visibility into your entire Power BI landscape. Discover, understand, and govern Power BI workspaces, apps, dashboards, reports, datasets, and dataflows within a unified platform.
Learn how Alation can help you:
Accelerate insights: Quickly find the right Power BI assets to answer critical business questions.
Ensure data quality: Trace data lineage from Power BI back to source systems to identify potential issues.
Strengthen data governance: Apply policies and standards to your Power BI environment.
Watch this special Alation Brief, a series of short, practical knowledge-sharing sessions brought to you by the Alation Community.
Alation Brief
Most of us are familiar with Google Maps, which shows the path to our destination with specific and timely directions from start to finish. Layers provide additional information like points of interest and traffic details such as construction or traffic volume ahead of time, which can help change our route and save time. The user experience makes it easy for anyone to use.
Alation Brief
Learn how Alation Anywhere brings the power of data intelligence directly to your fingertips - right in your browser. Our integrations now extend beyond Excel, Teams, Slack, Tableau, and Google Sheets to include Chrome. With the Alation Anywhere Chrome Extension, you can search, preview, and trust critical data without leaving Chrome, enabling faster, more informed decisions across your organization and seamlessly fitting into your workflow.
Webinar On-Demand
In today’s rapidly evolving digital landscape, effective data governance is critical for organizations striving to manage diverse and numerous data types. Ensuring the trustworthiness of AI/ML models requires robust governance of both inputs and outputs.