1. BI09 – Cortana Analytics and Power BI
Brandon George, Hillstar Business Intelligence

2. agenda Cortana Analytics Overview Perspectives of Data
Suite Overview
Machine Learning API’s
Integration with Power BI
Perspectives of Data
Past, Present and Future
BI Maturity Scale
From past to future
Example Customer Case
Customer overview
Business Outcomes
Inventory Insights
OTIF Improvements
Production predictive insights
Cortana Analytics Process (CAP)
CAP Overview
Process steps
Azure Machine Learning Studio
Azure ML Studio Overview
Explore Twitter Sentiment analysis
Power BI Quick Insights
Review of Power BI Quick Insights
Q&A
Power BI Pro, Resources and more!

3. “
The only thing that gives an organization a competitive edge...is what it knows, how it uses what it knows and how fast it can know something.
- Larry Prusak (1996) ”
Larry Prusak: researcher and consultant, founder and Executive Director of the Institute for Knowledge Management (IKM).
IKM: a global consortium of member organizations engaged in advancing the practice of knowledge management through action research.
Larry has had extensive experience, within the U.S. and internationally, in helping organizations work with their information and knowledge resources. He has also consulted with many U.S. and overseas government agencies and international organizations (NGO's). He is currently on the faculty of Columbia University teaching in their Information and Knowledge Strategy Program

4. Cortana Analytics Overview

6. Azure Machine Learning API’s
Customer Churn Prediction
Face API
Speech API
Vision API
Anomaly
Detection
Product Recommendations
Basket Analysis
Text Analytics

7. Cortana and Power BI
Developers can use the Power BI API to programmatically send data sets to Power BI. This includes from streaming analytics with event hubs and further from Machine Learning and Azure SQL Databases.

8. Three perspectives of Data

9. Three perspectives of data

10. BI Maturity Scale

11. From Past to Future Reactive Proactive Historical data Predictive
People and processes
Automatic decisions
Data is pervasive, yet insights are elusive. According to Gartner, more than 85 percent of the data available to organizations is automatically generated – from every device, sensor, upload, tweet, purchase, shipment and keystroke.
Yet many organizations experience challenges as they try to draw actionable insights from a world of big data…
Reactively seeking small patterns and insights from data, and then having the ability to act on it.
Shifting from the analysis of what happened in the past to predicting what might happen in the future  the key to shaping new business outcomes.
And ultimately moving from manual, people-heavy decision making to automated machine-assisted decisions that accelerate business and aid competitive advantage.

12. Example Customer case

13. Customer Overview Multinational Large Plastics Manufacturer
15k+ Employees Worldwide
100+ sites around the world
AX 2012 R2 deployed fully

14. Business Outcomes Improve On Time in Full (OTIF) to 99%+
Reduce overall stock levels
Improve production plans

15. Inventory Insights
Coloration between stock, produced and delivered qty’s.
Reveals direct insights of OTIF per period over all stock
Suggestions based on predicted growth / reduction of stock level for forward planning.

16. Inventory Insights
Show total stock of an item against Ordered / Delivered Qty’s.
Red shows predicted days that will miss delivery perf.
Green shows inventory delivery demands.

17. Production Predictive Insights
Predictions on item and resource consumption for stock levels.
Showcases predicted probability.

18. Cortana Analytics Process (CAP)

19. CAP Overview Plan Analytics targets and project focus
Prepare Analytics Environment
Data
Features
Model

20. CAP Process Steps

21. Azure machine learning studio

22. Azure ML Studio Studio.AzureML.net
Workflow focused predictive model creation.
R is a huge focus

23. AzureML: Twitter sentiment
Read data
Pre-process events
80/20 split
Feature selection
Train
Score
Evaluate

24. Power BI Quick Insights

25. Power BI Quick Insights
Demo:
Launch quick insights
Review within PowerBi.com
Show how to add to existing dashboard
Natural Query Language.

26. Contact information
Brandon George Hillstar

27. Final reminders
CPE Credit Code: 53C2 Complete Surveys