Modern Business Intelligence and Advanced Analytics
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This document summarizes how businesses can transform through business intelligence (BI) and advanced analytics using Microsoft's modern BI platform. It outlines the Power BI and Azure Analysis Services tools for visualization, data modeling, and analytics. It also discusses how Collective Intelligence and Microsoft can help customers accelerate their move to a data-driven culture and realize benefits like increased productivity and cost savings by implementing BI and advanced analytics solutions in the cloud. The presentation includes demonstrations of Power BI and Azure Analysis Services.
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Modern Business Intelligence and Advanced Analytics
- 1. Transforming your business through Business Intelligence - with Microsoft Modern BI and Advanced Analytics CHUCK RUSSELL Sr. PARTNER COLLECTIVE INTELLIGENCE INC.
- 2. Agenda How can you transform your business with BI? What is the Microsoft Modern BI platform? Power BI & Power BI Report Server Azure & SQL Analysis Services Advanced Analytics Testimonials How can Microsoft and Collective Intelligence Help? Next Steps?
- 3. A world of unprecedented change Average lifespan of a company on S&P 500
- 5. Making sense of the growing data universe is critical… 1. Source: IDC “FutureScape: Worldwide Big Data and Analytics 2019 Predictions,” DOC #259835, November 2015 2. Source: IDC “FutureScape: Worldwide Cloud 2017 Predictions,” DOC #259840, November 2015 …and that data is moving to the cloud 3. Source: Gartner “Cost Optimization Secrets: Plan & Manage Cloud Services for 14% Savings, on Average,” ID: G00299793, March 2017
- 6. Transforming with data: your opportunity Extra productivity benefits by 2020 Additional operating income Further cost savings
- 7. The modern BI platform
- 8. MODEL ANALYZE & AUTHOR DELIVER VISUALIZE End User BISelf-Service BI Microsoft Business Intelligence
- 9. Power BI: experience your data Any data, any way, anywhere
- 19. Discovery & exploration Easy report authoring Custom visualizations R integration
- 20. Connect to data in the cloud and on-premises Shape, transform, and clean data for analysis Join and model data from multiple sources/types Extend with advanced analytics technologies like R
- 23. Demo: Power BI Overview
- 24. Demo Path • Power BI (Cloud) – User Perspective • Explain Portal Areas / Workspace Etc., • Show Reports / Dashboards • Show Insights • Discuss Realtime Access versus Stored Data • Power BI Desktop • Show Authoring / PowerBI Desktop • Connecting to Data • Power BI Model(s) • Publishing to the Web • Scheduling Refreshes • Integrating / Embedding Options • Excel as Tool of Choice
- 25. Move to the cloud on your terms Compatible with SSRS Power BI Report Server Self-service BI and enterprise reporting in one solution Keep Power BI reports on-premises
- 34. Enterprise grade tools for lifecycle management Compatible with major BI tools – Excel, Power BI, third party Gain instant insights with in- memory cache Build business friendly BI models Analysis services Enterprise grade analytics engine —on-premises and in the cloud
- 35. Azure Analysis Services Transform complex on-premises or cloud data into insights Azure Analysis Services
- 36. Azure Analysis Services Gain instant insights using your preferred visualization tools Azure Analysis Services
- 37. Azure Analysis Services Proven analytics engine based on SQL Server technology DAX calculations Tabular model In-memory DirectQuery MDX DAX
- 38. Platform-as-a-service solution All the benefits of the cloud in your analytics engine Azure Analysis Services
- 39. SQL Server Analysis Services Enterprise grade analytics engine 10 01 10 01
- 40. SQL Server 2017+ Analysis Services Turn data into insights with an enterprise-grade data modeling and analytics engine Build user friendly semantic models for rich semantic models Quickly gain instant insights using SSAS in-memory (VertiPaq) technology & scale to many users Use your preferred BI tool to visualize data insights
- 41. Complex raw data Rich, business user friendly semantic model SQL Server Analysis Services Business user easily gain insights Cache Semantic model Queries SQL Server 2017 Analysis Services Transform complex data into one version of the truth
- 42. Quick Demo: Power BI & Analysis Services
- 43. Demo Path • Demonstrate Azure Analysis Services • Show Model Management • Demonstrate Connecting to Azure Analysis Data Source • Show Realtime Access to Cloud Data / Power BI Desktop
- 44. Azure AI Services Azure Infrastructure Tools
- 45. Azure Machine Learning Cognitive Services Bot Service
- 46. Vision Speech KnowledgeLanguage LabsSearch
- 47. Spark SQL Server Virtual machines GPUs Container services Notebooks IDEs Azure Machine Learning Workbench SQL Server Machine Learning Server O N - P R E M I S E S E D G E C O M P U T I N G Azure IoT Edge Experimentation and Model Management A Z U R E
- 48. Local machine Scale up to DSVM Scale out with Spark on HDInsight Azure Batch AI (Coming Soon) ML Server Azure Machine Learning Command line tools IDEs Notebooks in Workbench VS Code Tools for AI
- 49. Single node deployment (cloud/on- prem) Azure Container Service Azure IoT Edge Microsoft ML Server Spark clusters SQL Server Azure Machine Learning
- 50. AI core infrastructure AI compute AI on data
- 51. Best of Databricks Best of Microsoft Designed in collaboration with the founders of Apache Spark One-click set up; streamlined workflows Interactive workspace that enables collaboration between data scientists, data engineers, and business analysts. Native integration with Azure services (Power BI, SQL DW, Cosmos DB, Blob Storage) Enterprise-grade Azure security (Active Directory integration, compliance, enterprise-grade SLAs)
- 52. Optimized Databricks Runtime Engine DATABRICKS I/O SERVERLESS Collaborative Workspace Cloud storage Data warehouses Hadoop storage IoT / streaming data Rest APIs Machine learning models BI tools Data exports Data warehouses Azure Databricks Enhance Productivity Deploy Production Jobs & Workflows APACHE SPARK MULTI-STAGE PIPELINES DATA ENGINEER JOB SCHEDULER NOTIFICATION & LOGS DATA SCIENTIST BUSINESS ANALYST Build on secure & trusted cloud Scale without limits
- 53. Open deep learning framework support Visual Studio Tools for AI Azure Machine Learning Studio
- 54. Visual Studio extension with deep integration to Azure ML End to end development environment, from new project through training Support for remote training Job management On top of all of the goodness of Visual Studio (Python, Jupyter, Git, etc)
- 55. Azure Machine Learning Studio Platform for emerging data scientists to graphically build and deploy experiments • Rapid experiment composition • > 100 easily configured modules for data prep, training, evaluation • Extensibility through R & Python • Serverless training and deployment Some numbers: • 100’s of thousands of deployed models serving billions of requests
- 56. INGEST STORE PREP & TRAIN MODEL & SERVE Azure Blob Storage Logs (unstructured) Azure Data Factory Azure Databricks Microsoft Azure also supports other Big Data services like Azure HDInsight and Azure Data Lake to allow customers to tailor the above architecture to meet their unique needs. Media (unstructured) Files (unstructured) PolyBase Business/custom apps (structured) Azure SQL Data Warehouse Azure Analysis Services Power BI
- 57. INGEST STORE PREP & TRAIN MODEL & SERVE Cosmos DB Business/custom apps (structured) Files (unstructured) Media (unstructured) Logs (unstructured) Azure Blob StorageAzure Data Factory Azure SQL Data Warehouse Azure Analysis Services Power BI PolyBase SparkR Azure Databricks Microsoft Azure also supports other Big Data services like Azure HDInsight, Azure Machine Learning and Azure Data Lake to allow customers to tailor the above architecture to meet their unique needs. Apps
- 58. INGEST STORE PREP & TRAIN MODEL & SERVE Sensors and IoT (unstructured) Apache Kafka for HDInsight Cosmos DB Files (unstructured) Media (unstructured) Logs (unstructured) Azure Blob StorageAzure Data Factory Azure Databricks Real-time apps Business/custom apps (structured) Azure SQL Data Warehouse Azure Analysis Services Power BI Microsoft Azure also supports other Big Data services like Azure IoT Hub, Azure Event Hubs, Azure Machine Learning, and Azure Data Lake to allow customers to tailor the above architecture to meet their unique needs. PolyBase
- 59. Demo Path • Demo ML Studio • Describe the Titanic Experiment • Spin Up DataBricks (time Permitting)
- 61. Modern BI / Advanced Analytics Customers Retail & Consumer Goods Discrete Manufacturing Government & Education Professional Services Banking & Financial Services Healthcare
- 62. Accelerate your move towards a Data Culture Reduce risk / increase ROI as you move to the cloud 6 Kacey Court, Mechanicsburg, PA 717.545.9730 sales@collectiveintelligence.com John Schrock Collective Intelligence www.collectiveintelligence.com