Azure Analysis Services Description
Utilize Azure Resource Manager to quickly establish and deploy an Azure Analysis Services instance, allowing for the swift transfer of your existing models to take full advantage of the cloud's scalability, flexibility, and management features. You can easily scale up, scale down, or temporarily suspend the service, ensuring you only pay for what you actually utilize. Integrate data from diverse sources into a cohesive and reliable BI semantic model that is user-friendly and straightforward. By simplifying the representation of data and its foundational structure, you empower business users with self-service capabilities and facilitate data exploration. This approach significantly accelerates the time-to-insight for large and intricate datasets, ensuring that your BI solutions are responsive and aligned with the demands of your organization. Additionally, leverage DirectQuery to connect with real-time operational data, enabling you to monitor your business dynamics closely. Finally, enhance your data visualization experience by employing your preferred data visualization tools, making insights more accessible and actionable. This comprehensive solution not only enhances data usability but also drives better decision-making within the organization.
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Azure Analysis Services User Reviews
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Feature rich ecosystem coupled with a robust interface Date: Mar 16 2022
Summary: This is definitely a tool that would come highly recommended if you are at all considering migrating your current IT backbone to Azure in any capacity. This will help streamline how you document and manage your data assets.
Positive: As my company has begun its journey to the cloud, we have partnered with Microsoft on its Azure platform for a number of initiatives including modernizing our reporting and business intelligence platform. With the large number of disparate systems in our organization, Azure Analysis Services has really helped to provide a unified view of all our data assets and inventory in a centralized location.
Negative: While this tool will help to alleviate a lot of the headache in unifying and documenting multiple data models, it is not a magic bullet. There is a learning curve with using this tool, and ensuring that end users understand how this tool is being used. Some end users expect to just be able to throw things into this tool and see what comes out, which often is garbage in and garbage out. I hope that Microsoft can more succinctly define how this tool should best be used.
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