Value Driven Data Science Dr Genevieve Hayes

Genevieve Hayes Consulting

Episode 38 – The Art and Science of Survey Design







From BuzzFeed Quizzes to the national census, it’s impossible to get through life without encountering surveys. However, not all surveys are created equal. As with everything else in data science, garbage going in will inevitably lead to garbage coming out.In this episode, Kyle Block joins Dr Genevieve Hayes to look at practical techniques for designing surveys to ensure they deliver value, as well as approaches to analysing survey results, to maximise that value.











Guest Bio



Kyle Block is Head of Research at Gradient, an analytics agency that combines advanced statistical and machine learning techniques to answer difficult marketing challenges. He holds a Masters in Spatial Analysis from the University of Pennsylvania and has spent his career helping managers use data to make important decisions.















Talking Points



What good survey design looks like.Advice on how to design effective surveys.How list experiments can be used to uncover true opinions around sensitive topics.How data science techniques can be applied to survey data analysis to maximise its value.What the future might hold for survey data analysis.











Links



Connect with Kyle on LinkedInGradient Website











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The post Episode 38 – The Art and Science of Survey Design first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.

Genevieve Hayes Consulting

Episode 37: Data Privacy in the Age of AI







Most people have come to accept that the price of living in a technological world, and its associated convenience, is some loss of data privacy. However, few realise just how much privacy they are giving up.In this episode, Dr Katharine Kemp joins Dr Genevieve Hayes to discuss data privacy challenges for consumers and data scientists in the age of AI.











Guest Bio



Dr Katharine Kemp is an Associate Professor in UNSW’s Faculty of Law and Justice and Deputy Director of the Allens Hub for Technology, Law and Innovation. Her research focuses on competition, data privacy and consumer protection regulation, including their application to digital platforms.















Talking Points



What types of data are companies collecting about their customers?How companies currently de-identify customer data to ensure consumer privacy is protected.The effectiveness of data de-identification methods at truly protecting the privacy of individuals.The state of current consumer data privacy laws and how they are likely to evolve.The impact of generative AI tools, such as ChatGPT, on consumer data privacy.











Links



UNSW Allens Hub for Technology, Law and InnovationKatharine’s Research (SSRN Page)Consumer Policy Research CentreSingled Out Report











Connect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE






The post Episode 37: Data Privacy in the Age of AI first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.

Genevieve Hayes Consulting

Episode 36: Sequential Decision Problems







Decision-making is an essential part of everyday life and one of the main applications of data science is making the decision-making process easier.However, mostly when data scientists build models, it’s to make a single decision. But in real life, decision-making is rarely that simple.In this episode, Prof Warren Powell joins Dr Genevieve Hayes to discuss one way in which the decision-making process can become more complicated, in the form of sequential decision problems.











Guest Bio



Warren Powell is the co-founder and Chief Innovation Officer of Optimal Dynamics and a Professor Emeritus after retiring from Princeton, where he was a faculty member in the Department of Operations Research and Financial Engineering. He is also the author of Sequential Decision Analytics and Modelling and Reinforcement Learning and Stochastic Optimization.















Talking Points



What is a sequential decision problem?Real-life examples of sequential decision problems and the disciplines in which they occur.The four main classes of techniques for solving sequential decision problems.How Warren’s approach to addressing sequential decision problems differs from the standard approach in this space.The challenges of implementing sequential decision analysis techniques in practice.











Links



Connect with Warren on LinkedInWarren’s website (SDA Links)











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The post Episode 36: Sequential Decision Problems first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.

Genevieve Hayes Consulting

Episode 35: Data-Driven Podcasting







According to the Interview Valet 2023 State of Podcast Guesting Annual Report, there are over 380,000 active podcasts in the world right now, with the average podcast episode receiving just 150 downloads within 30 days of its release.So, for individuals and organisations looking to use podcast marketing to grow their business, just booking podcast guest appearances isn’t enough. It’s necessary to use a targeted strategy based on data.In this episode, Tom Schwab joins Dr Genevieve Hayes to discuss how Interview Valet uses data to optimise business results in podcast interview marketing.











Guest Bio



Tom Schwab is the founder and Chief Evangelist Officer of Interview Valet and the author of Podcast Guest Profits and One Conversation Away. He is also an engineer whose first job out of college involved running nuclear power plants in the US Navy.































Talking Points











What is podcast interview marketing and how it differs from traditional digital marketing approaches?How Tom uses data to inform podcast guest marketing strategies at Interview Valet.The most important metrics for targeting podcast marketing and optimising return on investment.What makes a top podcast?How Tom’s use of data and analytics has evolved over time.



























Links











Interview Valet











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The post Episode 35: Data-Driven Podcasting first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.

Genevieve Hayes Consulting

Episode 34: Financial Modelling for Start-Up Founders







Start-ups and data science go hand in hand, but usually when people think about how data science can help start-ups, it’s with regard to product development and enhancement. However, it doesn’t matter how great a start-up’s product is, if the financials are a mess, the business is going to struggle.This is where data science can also help start-ups, in the form of financial modelling and analysis.In this episode, Lauren Pearl joins Dr Genevieve Hayes to discuss her work in helping start-up founders translate their business ideas into maths via financial models.











Guest Bio



Lauren Pearl is a CEO-turned-CFO who helps start-up founders work better with financial data. She holds an MBA from NYU’s Stern School of Business and is the resident start-up finance expert at NYU’s Berkley Centre for Entrepreneurship.















Talking Points



What is meant by financial modelling?The challenges of building financial models with little or no data.Why is it important for founders to understand their financials.The potential consequences of not understanding financial data.How founders can use data and technology more generally to help in running their business.











Links



Connect with Lauren on LinkedInLauren Pearl Consulting











Connect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE






The post Episode 34: Financial Modelling for Start-Up Founders first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.

Genevieve Hayes Consulting

Episode 33: Making the Shift from Data Scientist to Datapreneur







Data science is among the most in-demand skills of the 21st century, with opportunities existing for data scientists to make a difference and earn good money as an employee in a range of industries. Yet there has also never been a better time to be a data science entrepreneur (or datapreneur).But for data scientists who have never experienced the entrepreneurial life and who are used to the security of a steady pay check, making the transition from employee to entrepreneur may seem like an impossible leap, regardless of how desirable it may seem.In this episode, David Shriner-Cahn joins Dr Genevieve Hayes to discuss how data scientists can escape the corporate world and make the transition from employee to datapreneur.











Guest Bio



David Shriner-Cahn is the podcast host and community builder behind Smashing the Plateau, an online platform offering resources, accountability, and camaraderie to high-performing professionals who are making the leap from the corporate career track to entrepreneurial business ownership.















Talking Points



How entrepreneurship differs from being a regular employee, particularly with regard to mindset.The advantages and disadvantages of each way of making a living.Making the transition from employment to entrepreneurship and how to gauge if entrepreneurship is right for you.Building your network as an entrepreneur.How taking a sabbatical can help ease the transition between being an employee and an entrepreneur.The value of community.











Links



Smashing the Plateau











Connect with Genevieve on LinkedInValue Driven Data Science has recently featured in Feedspot’s list of the 4 Best Australian Data Science Podcasts. You can be among the first to hear about the release of each new podcast episode by signing up HERE






The post Episode 33: Making the Shift from Data Scientist to Datapreneur first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.