Amazon has a long heritage in data and machine learning. Many of the innovations you’ve heard about, personalisation, drones, Alexa, are driven by data rich, machine learning models. We’ve been working for years to try make smart use of the data we have for the benefit of our customers. As leaders and builders, we now want you to have the same opportunity. During this 60-minute webinar leaders at National Australia Bank, Amazon Web Services and Fonterra showcased how they used real time data insights to create rapid experiments designed to improve customer outcomes. We also discussed how agile team structures and a culture of experimentation can help you accelerate the development of your own Data Driven Business.

1. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Vicky Falconer, Head of Big Data & Analytics,
Amazon Web Services, Australia and New Zealand
Building Data Driven
Businesses
Featuring NAB, Fonterra and AWS
Wednesday 22 August 2018

2. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Your speakers today
Vicky Falconer
Head of Big Data & Analytics
Dr Tim Sparks
Head of Advanced
Analytics Enablement
David Bloch
General Manager,
Advanced Analytics

3. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
… is to enable rapid experimentation with self-service
analytics platforms on demand; providing access to the
broadest set of predictive and machine learning tools to
drive competitive advantage for our customers.
Our vision

4. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Personalised
recommendations
Inventing
entirely new
customer
experiences
Fulfillment
automation
/ inventory
management
Drones Voice driven
interactions
Machine Learning at Amazon: a long heritage

5. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
The
Institutional
YES!

6. Data Driven Businesses…
Data-driven
culture
Business demands data
driven decision making
Platforms that support
experimentation
Platforms
Mechanisms or
processes that support
ideation
Culture of
experimentation

7. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Joi Ito
Director MIT Media Lab
“Want to increase innovation?
Lower the cost of failure”

17. Page 17Confidential to Fonterra Co-operative Group
Experimentation:
OUR APPROACH to
DATA SCIENCE AT
FONTERRA

18. From three months…
…to 48 hours

19. Idea: Create a portal to capture ideas within the business
around how data science could solve a problem
Define
Scope:
After narrowing the scope of ideas down based on
potential value, define the problem properly and identify
the riskiest assumptions
Prototype: Gather all data into the lab environment and build some
descriptive and explanatory analytics
Result:
Deliver results back via regular showcases, and seek to
identify whether we can solve for the riskiest assumption
Our approach to Data Science

20. Idea: Could data help us build the “perfect
product”
Ingredients
Processing
Parameters
Flavor and
Nutrition
Type of
Consumer
Packaging and
Functionality
Location

21. Active People
Eat on the Go
Nutritionally
Conscious
Combining function, flavour and consumer
insight to create new products
Time Poor

23. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential and Trademark
Thank you!
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