PASS Summit Data Storytelling with R Power BI and AzureML
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How can we use technology to help the organization make data-driven decision-making part of its organizational DNA, while retaining the context of the business as a whole? How can we imprint data in the culture of the organization and make it easily accessible to everyone? Microsoft directly empowers businesses to derive insights and value from little and big data, through its release of user-friendly analytics through Azure Machine Learning (ML) combined with its acquisition of Revolution Analytics. Power BI can be used to create compelling visual stories around the analysis so that the work is not left to the data consumer. Together, these technologies can be used to make data and analytics part of the organization's DNA. There are no prerequisites, but attendees are welcome to follow along with the demo if they have an Azure ML and Power BI account and R installed. Files will be released before the session.
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QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
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- 1. Data Storytelling with R, Azure Machine Learning, and Power BI BI Information Delivery Jennifer Stirrup, Principal, Data Relish Ltd
- 2. Agenda • Introduction to Machine Learning – the People • Methodology – the Process • Technology – the Technology • Agenda item four • Agenda item five 2
- 5. Prediction is very difficult, especially when it’s about the future. - Niels Bohr
- 7. 7 Machine Learning Machine learning & predictive analytics are core capabilities that are needed throughout your business The price of light is less than the cost of darkness.- Arthur C. Neilsen
- 8. 8 Machine Learning Data Science is not Voodoo. We are not building fancy math models for their own sake. Kevin Geraghty, Head of Analytics 360i
- 9. 9 Business Understanding Data Understanding EvaluationData Preparation Modeling Determine Business Objectives Situation Assessment Determine Data Mining Goal Produce Project Plan Collect Initial Data Describe Data Explore Data Verify Data Quality Select Data Clean Data Construc t Data Integrate Data Format Data Select Modeling Technique Generate Test Design Build Model Assess Model Evaluate Results Review Process Determine NextSteps Plan Deployment Plan Monitoring and Maintenance ProduceFinal Report Review Project Deployment CRISP-DM Phases and Deliverables
- 11. Knowledge is orderly and cumulative Data Analysis Interpretation Input Transformation Output
- 12. R you ready? Programming Language for people who need to crunch numbers Included in Azure ML…
- 13. R you ready? 2 Data Sets enter 1 Data Set leaves. (And pretty pictures!)
- 14. Connect to all of your data and keep it up to date
- 16. 16 Data Clients What is Azure ML? Azure ML Business Understanding Data Understanding Data PreparationModeling Evaluation Deployment
- 18. 18
- 21. 21 Session Evaluations ways to access Go to passSummit.com Download the GuideBook App and search: PASS Summit 2015 Follow the QR code link displayed on session signage throughout the conference venue and in the program guide Submit by 5pm Friday November 6th to WIN prizes Your feedback is important and valuable.
- 22. Thank You