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.

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

3. People
ProcessTechnology

4. http://www.ibm.com/big-data/uk/en/big-data-and-analytics/

5. Prediction is very
difficult, especially
when it’s about the
future. - Niels Bohr

6. People
ProcessTechnology

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

10. People
ProcessTechnology

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

15. 15
Power BI Designer

16. 16
Data Clients
What is Azure ML?
Azure ML
Business
Understanding Data Understanding Data PreparationModeling Evaluation Deployment

17. Data in AzureML
Demo

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