Value Driven Data Science 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.

Genevieve Hayes Consulting

Episode 32: Blockchain and Cryptocurrency for Data Science







Depending on who you speak to blockchain and cryptocurrency are either the way of the future or the scam of the century. But few would be able to tell you what either of them actually is – including among data scientists for whom data and technology are a way of life. In this episode, Luke Willis joins Dr Genevieve Hayes to demystify blockchains, cryptocurrency and the data behind them.











Guest Bio



Luke Willis is the dApp UX guy. He’s a web3 developer with extensive front end and UX experience. He’s also the founder of the Koin Press where he writes a regular newsletter, hosts the Koin Press podcast and helps others make their dApp ideas a reality.















Talking Points



What is the blockchain?The different types of blockchains and the differences between them?How the blockchain relates to cryptocurrency.What is a dApp and Luke’s experiences in building them.How data is stored on the blockchain and how it can be accessed.











Links



Luke’s WebsiteKoinos BlocksKoinerEtherscan











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 32: Blockchain and Cryptocurrency for Data Science first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.

Genevieve Hayes Consulting

Episode 31: The Business Leader as Data Consumer







When data science first became the must-have skill of the 21st century, organisations were fighting to recruit the best and brightest data science talent. But the glory of having a data scientist on staff was often short-lived, as many organisations soon found they didn’t know what to do with them.Business leaders had been sold the dream of being able to turn their data into business gold but were unable to maximise the value of the data science expertise they had brought in because they couldn’t communicate effectively with their new data science teams.In this episode, Dr Howard Friedman joins Dr Genevieve Hayes to discuss how adopting a customer mindset can help business leaders capitalise on the hidden value of data.











Guest Bio



Dr Howard Steven Friedman is a data scientist, health economist, and writer with decades of experience leading data modelling teams in the private sector, public sector and academia. He is an adjunct professor, teaching data science, statistics, and program evaluation, at Columbia University, and has authored/co-authored over 100 scientific articles and book chapters in areas of applied statistics, health economics and politics. His previous books include Ultimate Price and Measure of a Nation, which Jared Diamond called the best book of 2012.















Talking Points



How Howard’s personal experiences informed the writing of Winning with Data Science.What business leaders should know, in order to be effective customers of data science teams.How important is it for business leaders to be up to date with the latest data science trends and buzzwords?What data scientists should know in order to work more effectively with business leaders.Howard’s previous book, Ultimate Price.How data scientists and economists go about placing a price on human life.











Links



Connect with Howard on LinkedInHoward’s website











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 31: The Business Leader as Data Consumer first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.

Genevieve Hayes Consulting

Episode 30: Cause and Effect Data Science







Correlation does not equal causation, as anyone who has studied statistics or data science would know. But understanding causality isn’t just important when you’re developing models.If you’re working in business and want to be recognised for your work, it’s essential to be able to demonstrate causality between what you do and the benefit flowing through to the business.In this episode, Mark Stouse joins Dr Genevieve Hayes to discuss how data science can be used to comprehend the underlying cause-and-effect relationships in business data.











Guest Bio



Mark Stouse is the CEO of Proof Analytics, an AI-driven marketing analytics platform. Prior to becoming an analytics software CEO, Mark had a successful career in B2B marketing and in 2014 was named Innovator of the Year at the Holmes Report In2 SABRE Awards for his work in tying marketing and communication investment to key business performance metrics.















Talking Points



The benefits to organisations of understanding causality.How such techniques can be applied to use cases and disciplines beyond marketing analytics.How data scientists can drive conversations about analytics at the C-suite level to maximise their impact.The potential future impact of generative AI on data science and the world in general.











Links



Connect with Mark on LinkedInProof Analytics











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 30: Cause and Effect Data Science first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.

Genevieve Hayes Consulting

Episode 29: Creating Order From Data Chaos







The insurance sector owes its existence to data and insurers were some of the first companies to utilise data expertise. Yet, being an early adopter isn’t always as great as it seems. And many big insurers are now discovering the challenges of bringing their long-established data systems into the 21st century.In this episode, Maria Ferrés joins Dr Genevieve Hayes to discuss the complexities of creating order from data chaos in the insurance industry.











Guest Bio



Maria Ferrés is an actuary with extensive experience throughout Europe and Australia, who now specialises in establishing the enterprise data functions of multinational insurers. She is currently the Enterprise Data Officer at trade credit insurer Atradius and she also advises companies within the insurtech space on the use of data to comply with Data Protection laws.















Talking Points



The ideal state of an insurer’s enterprise data capabilities.How to transform insurers’ data capabilities from their present, often chaotic state, to this ideal.The challenges in transforming insurers’ data capabilities.Where data scientists fit into the transformation process.How to overcome resistance encountered while transforming the data capabilities of an organisation.The impact of the GDPR on enterprise data capabilities and on the work of people using insurance data, including data scientists and Insurtechs.











Links



Connect with Maria on LinkedIn











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 29: Creating Order From Data Chaos first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.