#33 Graeme McDermott - Chief Data Officer

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Graeme started in actuarial science and developed a love for algorithms and automation. He worked in data warehousing before moving into data analytics. He spent 16 years in several Head of Data roles at The Automobile Association (AA) before joining Addison Lee as their Chief Data Officer, where he is today.

We speak about:

* What is actuarial science

* Data warehousing & GIS systems

* Overview of the Chief Data Officer role

* Automation in the data space

* How to build a data warehouse

* The difference between a data warehouse, data lake and virtual data warehouse

* Starting data work with business problems/questions

* How to deliver value to the business

* Balancing tactical project delivery with strategic work

* Enabling self service data analytics

* Prioritising & sizing up work

* Modern styles of work in data

* Data governance: creating a plan

* Creating a data strategy

* How to get to a head of role

* Team building

* Networking

Graeme is based in London, Greater London, United Kingdom

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!

#32 Carole Wai Hai - Head of Data Science & Analytics

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Carole had an unusual path into data science. She's worked as a content project manager, in strategic planning and in sales before getting into data through Business Intelligence at Fyber where she eventually became their Head of Analytics. Today she is the Head of Data Science & Analytics at Tenjin.

We speak about:

* The strengths of being a generalist

* Upskilling throughout your career

* Focus on self service reporting

* The skills needed in a BI team

* Creating internal user groups to share knowledge

* Convincing people to get training on the tools required to do their job better

* The benefits of gaining a reputation internally

* Setting a strategy for data teams

* The importance of data modelling skills in data teams

* Learning technology on the job when you're background is not technology

* Monthly meeting with key departments to review all dashboards in the department

* Working remotely in global companies

* Metrics about user behaviour

* Offering analytics for many customers with the same problem/need

* How to develop consulting skills

* The platinum rule - book on communication style

* The leadership challenge - book recommendation

* What it's like working in startups

* How to recover from being a workaholic

Carole is based in Berlin Area, Germany

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!

#31 Scott Wilson - Founder & CEO

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Scott started his career pushing trolleys at Woolworths. In his career he rose to management levels in retail with Woolworths, consumer goods with Kraft Foods, Fonterra SPC and PZ Cussons, then in media with 21st Century Fox. He then became the CEO of iSelect, a role he left earlier this year to start his own AI company Wilson AI.

We speak about:

* Focus on customer needs

* Digitising industries to access more data

* Helping companies in multiple industries to begin their data analytics journey

* How to differentiate your company when competitors have access to the same data

* How to overcome being "data rich but insight poor"

* Changing industry power dynamics through data

* Creating new teams to create value from data

* The importance of storytelling in data science

* Defining objectives with your data analytics communication

* Educating industries to use data more effectively

* Understanding costs & priorities across the value chain to make better decisions

* Eliminating your biases when dealing with customers

* Process re-engineering & AI

* How to think outside of the building

* How to start an AI company

* The importance of translating between business and technical

* How to connect data science and the boardroom

* The importance of data science education in an organisations journey

* How to achieve a wider spread adoption of AI

* Focusing on cost & revenue with data science for maximum impact

* Resist the urge to boil the ocean

* The role of a CEO in a publicly listed company

* Focusing on the top 3 business priorities

* Productionising AI & monitoring unintended consequences

Scott is based in Sandringham, Victoria, Australia

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!

#30 Aaron Black - Chief Data Officer

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Aaron started his career working in accounting and building management information systems (MIS). He had his own company, worked in multiple industries and then got into biology and genomics. Today he is the Chief Data Officer at the Inova Translational Medicine Institute.

We speak about:

* How to take research into scaled applications

* The importance of sharing your knowledge and helping others understand

* Why you're only as good as your team members

* How to engage many different types of stakeholders

* Challenges of data management in healthcare

* Data governance & provenance in healthcare

* Data monetization & it's stigma in healthcare

* The benefits of data sharing consortiums

* The potential of genomic & DNA data

* Handling algorithm biases

* Enabling reproducible research through data

* Why "perfection is the enemy of good"

* The importance of creating & sharing your mental models

Resources:

Weapons of Math Destruction

https://weaponsofmathdestructionbook.com/

Evernote

https://evernote.com/

Real time board

https://realtimeboard.com/

Mind jet - mind mapping

https://www.mindjet.com/

Aaron is based in Washington DC Metro Area, USA

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!

#29 Dr. Klaus Ifflander - Chief Analytics Officer

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Klaus started his career doing internships at Yahoo! and the port of Hamburg. He worked as a consultant and completed a PhD in Quantitative Marketing. Today he is the Chief Analytics Officer at YAS.life

We speak about:

* The importance of getting applied experience as early as possible

* Defining KPIs for businesses

* Using data to change organisational behaviour and increase safety

* How to navigate organisations to create data definitions

* Realities of consulting: positives and negatives

* Why large companies require so much custom work

* How to help people and organisations that don't know what they want

* Helping organisations in progressing through their analytics journey

* How to overcome technical challenges with creative solutions in your projects

* Why honesty within yourself and others is imperative in your work

* How to provide customers what they need instead of what they want

* The importance of hard and soft metrics when measuring value

* Applying soft skills in data science

* How to find what will be valuable for your customers

* Expanding your interest with a postgraduate degree

* How your social surroundings affect your purchase decisions

* Using soft skills for data acquisition

* What is eigenvector centrality and what is it used for?

* How product reviews influence your buying decisions

* How to create experiments in business

* Pricing models in the steel business

* Data science in fitness startups

Klaus is based in the Berlin Area, Germany.

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!