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
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.
Find out more about Mark
Learn more with related episodes in our analytics podcast:
- E77 – Geeta Pyne – Insider Secrets to Fast-Paced Agile Data Platform Development
- E69 – Eran Vanounou – 10x – 100x Faster Data Lake Analytics with Autonomous Indexing
- E61 – Jason Tan – The 3 Critical Rules of Building an Advanced Data Analytics Platform
- E58 – Shantha Mohan – A Founder’s Perspective in Building an Analytics Solution Using Data Governance & Product Development
Now a word from our sponsor…
This episode is sponsored by a new program at Data Driven Analytics. It’s an embedded analytics leader program for senior managers and executives in the business team who want to integrate AI into daily business operations and drive customer experience excellence. Book an Unlimited Strategy Session for a Full Year and start embedding analytics into the business frontlines. For more information about this program, please refer to it here.
Are you using your company data to its full potential? Leading organisations like FAANG have moved beyond dashboards and embedded data science directly into their daily business operations. Take the free 3-minute Embedded Analytics Assessment to find out your score instantly.