Brochure - Microsoft Business Intelligence and Analytics
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The document outlines strategies for developing profitable customer relationships through enhanced data analytics and insights from web and social media. It emphasizes the integration of various data sources and advanced BI tools, alongside Microsoft Azure Machine Learning, to empower users with self-service capabilities. Additionally, it highlights the importance of machine learning and predictive analytics in optimizing business decisions.
Brochure - Microsoft Business Intelligence and Analytics
- 5. Profitability & Segmentation Goal: Challenge: A more complete customer view
- 6. Profitability & Segmentation Develop more profitable customer relationships with end-to-end customer insight
- 7. Web & Social Media Analytics Insight from new digital channels
- 8. Web & Social Media Analytics Understand and improve brand perception by integrating a broader set of data
- 10. Data Quality Master Data Data Integration Powerful, integrated BI tools for IT professional Reporting Dashboards Analysis
- 12. Self-Service BI Self-service BI with the familiarity of Office and the power of the cloud
- 13. Empower users with self-service in Excel
- 14. Power BI Service v1 Q&A
- 15. EPG | MICROSOFT CONFIDENTIAL 15
- 20. Connect to on-premises data Live Query & Scheduled Data Refresh
- 25. Advanced Analytic tools for Data Scientists
- 26. Data mining add-in for Business Analysts
- 27. Azure Machine Learning Personalized Workspace Combine R modules with Microsoft’s best in class algorithms running Xbox and Bing Work with anyone, anywhere by simply sharing the workspace Easy Access to All Data Drop in desktop data sets into the built-in storage space. Bring in cloud data with the ease of a drop down Deploy Models as Web Services Operationalize in minutes and refine models at the speed of the market Partner Tools ML partners enjoy SDK access for robust solutions Microsoft Azure Machine Learning Studio Microsoft Azure Machine Learning API service Microsoft Azure Machine Learning SDK Use historical data to predict future outcomes using new Azure Machine Learning
- 30. Machine Learning Artificial Intelligence Predictive Analytics RP using statistics to find patterns hidden in the data Statistics Data Mining
- 32. Artificial Intelligence RP Statistics Data Mining address the likelihood of something happening in the future, even if it is just an instant later Machine Learning Predictive Analytics
- 33. RP Statistics Data Mining Machine Learning Predictive Analytics behave and perform a task as an intelligent agent would Artificial Intelligence
- 35. BI Services AlwaysOn SSDT In-Memory OLTP Azure SQL Database SQL VMs on Azure