Deploying Power BI for enterprise and self-service BI at scale
Power BI is much more than a visualization tool – it is a mature, modern, enterprise BI platform that now supports artificial intelligence (AI). The goal of this article is to provide a consolidated overview of AI and machine learning (ML) capabilities currently available across the Power BI platform. We'll explore Key Influencers, Q&A Visual, Decomposition Tree, Cognitive Services, and
Auto ML integration.
A leading U.S. healthcare payor – whose tens of thousands of employees serve millions of members – is transforming business by embracing a nimble, elastic modern data architecture. The organization is now looking toward the future, recently launching an initiative to consolidate and modernize its data platform and analytics tools. In order to reap the benefits of a single, enterprise-wide data repository and robust new capabilities, it selected a Microsoft Azure and Power BI foundation.
A worldwide chemical manufacturer wanted to offer its business users an alternative to what some here saw as the limited capabilities of its historical business intelligence platform. The company chose Microsoft’s user-friendly Power BI for its rapid, rich data insights – on-premise and in the cloud – as well as its speed, scalability, and ease of use and integration with existing tools.
When a well-known Southeastern U.S. surgeon and community health champion advocated for a public hospital over 100 years ago, they likely had no idea it would grow to be one of its region’s largest health systems. Built on a foundation of excellence in care, the regional health provider’s more than 700 physicians and 9,000 employees offer broad-ranging services to people across two states. Though it is a government subdivision of the state in which it was founded, the health system is self-funded – meaning it receives no tax dollars. It must continually seek innovative ways to deliver superior healthcare while minimizing costs.
The above report displays the results of a real-world, predictive analytics and machine learning scenario within a healthcare organization. Its audience is the HR department and upper level management. These two groups will use this report to understand employee flight risk data and to uncover patterns at both a high level and a detailed, employee population level. In this model, high risk employees are considered likely to leave the organization.
The BlueGranite Catalyst for Power BI Adoption features our “think big, start small” philosophy, with an approach tailored to meet the needs of your organization. We built our engagement model on expertise gained helping more than 100 organizations adopt Power BI as a powerful, collaborative tool for both enterprise and self-service BI capabilities.
Harness BlueGranite’s expertise leveraging advances in data and analytics technology to spur Digital Transformation. With our Catalyst for Modern BI, BlueGranite will help you get the most out of your Power BI investment, accelerating time to value with our proven approach and our team of experienced consultants.
BlueGranite will drive adoption across the enterprise, implementing best practices for governance, and deployment that sets you up for lasting success. Below are the eight pillars that outline BlueGranite's Catalyst for Modern BI. Interested in learning more? Click here to schedule a call with one of our specialists.
Interested in exploring how the BlueGranite Catalyst for Modern BI might help your organization deploy and adopt Power BI?
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