E101 - Mark Burnard - Shift to Data as a Product, Leverage In-Business Expertise to Scale Analytics

As the world becomes more and more digitised, data has become one
of the most valuable resources on earth.


And as organisations race to keep up with the latest trends and
tech, many are turning to data analytics as a way to gain an edge
on their competitors.


However, simply having access to data is no longer enough.


In order to truly maximise its value, organisations are starting
to see data as a product in and of itself.


This shift towards “Data as a Product” represents a fundamental
change in the way businesses operate.
Meet Mark Burnard Mark’s Role as a Data Analytics Leader at
Amazon Web Services

Mark Burnard is a Principal Solution Architect and Data &
Analytics Specialist at Amazon Web Services (AWS). Launched in
2006, AWS began exposing key infrastructure services to
businesses in the form of web services -- now widely known as
cloud computing. Today, AWS provides a highly reliable, scalable,
low-cost infrastructure platform in the cloud that powers
hundreds of thousands of businesses in 190 countries around the
world.
Mark’s Other Work in Data Governance and Advisory

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Besides Mark’s role with Amazon Web Services, he is also a
Trainer in Data Governance at AlphaZetta, authoring and
presenting a customisable 1 to 2 day masterclass. He is the
Strategic Advisor at Invia - a specialist software and solution
provider with an exclusive focus on the Telecommunications
industry - and an Advisor at The Data People. Finally, Mark is
the Author of the book, Data Governance for Everyone: A practical
guide to unlocking the value in Digital Transformation.


Mark has over 20 years’ experience helping organisations get more
value from their data. After starting his career as a Business
Analyst at Telstra, Mark moved on to work with Affin Bank,
Malaysia Airlines, Commonwealth Bank of Australia, The Institute
of Chartered Accountants in Australia, Sydney Water, IAG, the
University of Sydney, DataRobot, and more.
Data Platforms, Data Products, and Data Lake Architecture In
this exclusive analytics podcast episode, Mark shares:

The evolution of data platforms, from 1970s Data Warehouses,
2005 Big Data, 2010 Data Lakes, Data Democratisation, to 2019
Data Products

The challenges involved in building data platforms

The need to scale Data Access

Federating data governance

Fast, easy, and curated access to governed datasets

Shielding end users from unneeded complexity

Overcoming challenges with a proper data lake architecture

Data engineers to data product owners

How data product owners are consuming analytics and machine
learning

Shifting the mindset of data owners

A use case for outsourcing the building of data products



If you are a data analytics professional looking to shift to data
as a product and leverage in-business expertise to scale
analytics, this is the episode you do not want to miss out on.