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Democratizing Data in Government Agencies

You can find the slides here.

“Data democratization” is one of the most popular terms surrounding the development of organizational data maturity. Yet what does it really mean when you peek under the hood and how can you progress toward true data democratization?

Join Alex Scriven, a Senior Data Scientist from the New South Wales Government in Sydney, Australia as he breaks down what data democratization means in a government environment. He will also provide specific, actionable best practices for growing data democratization in government and outline some interesting case studies for what can happen when democratization in government begins to take hold.

Key Takeaways:

  • Gain an overview of what data democratization is, with specific reference to government-sector particulars.

  • Specific, actionable best-practices for developing data democratization in government.

  • Case studies and examples to inspire; what can happen when democratization takes hold in government. 

Adel Nehme

Data Science Evangelist at DataCamp

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.

Connect with Adel on LinkedIn and Twitter.

Alex Scriven

Senior Data Scientist at New South Wales Government

Alex is a Senior Data Scientist working for the New South Wales Government in Sydney, Australia, and an Instructor on Datacamp with three live and highly-rated courses. He also holds lecturing and research positions at the University of Technology Sydney and the University of New South Wales. He has built and delivered several Masters-level courses in machine learning & deep learning whilst researching applications of machine learning & data science in industry. From a heavily commercial background, Alex greatly enjoys bridging the gap between cutting-edge technology and business applications.

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