Leaders Of Analytics podcast

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The Head Start: Embracing the Journey

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Sweat and Resilience: Balancing Chronic Migraine with Fitness Goals 35:00

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The healing power of fitness goes far beyond physical benefits—for today’s guest, it’s a form of self-expression and a celebration of what the body can do. In this episode, host Nora McInerny sits down with fitness personality Ivylis Rivera, who shares her deeply personal journey of navigating life with Chronic Migraine while holding onto her passion for movement. Ivylis opens up about the struggle of staying active while facing the fear of triggering a headache or migraine attack and the resilience it takes to keep pushing forward—a resilience that carried her through the challenging journey of finding a Chronic Migraine treatment plan that worked for her. Join Nora and Ivylis as they explore the concept of “soft living,” a philosophy Ivylis embraces—staying active, listening to your body, and building trust in oneself. Click here for Product Information, including Boxed Warning and Medication Guide, or visit https://abbv.ie/prescribing_info See omnystudio.com/listener for privacy information.…

Leaders of Analytics

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Leaders of Analytics is a podcast about data-driven decision-making, modern business leadership and the use of data and artificial intelligence in business and society. Each episode investigates the strategies, tools, techniques and leadership required to succeed in a world increasingly driven by data and analytics. The show’s guests share their stories and experiences in a way that helps listeners understand the big concepts and small details that make all the difference in today’s world of business.

61 episoder

#MBA #Business #Jonas Christensen #Careers #Podcasting Education #Data Driven

Leaders of Analytics

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61 episoder

#MBA #Business #Jonas Christensen #Careers #Podcasting Education #Data Driven

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1
Why the Key to AI Success is Leadership, not Technology with Andreas Welsch 55:14

for 34 weeks siden55:14

55:14

In this episode, I dive into the world of AI leadership with Andreas Welsh, a renowned AI expert and author of 'The AI Leadership Handbook'. We explore Andreas's impressive career at SAP, his new venture as an AI advisor and expert, his impactful journey on LinkedIn, and his insights into successful AI implementation. Topics we cover: Discover Andreas’s background and his remarkable 23-year career at SAP. He shares pivotal moments and lessons learned from working at one of the world’s largest tech companies. Learn what motivated Andreas to start sharing his expertise on LinkedIn in 2021, and the significant impact it has had on his professional life. Uncover the inspiration behind Andreas's book, The AI Leadership Handbook, and his mission to guide organisations in harnessing AI effectively. Andreas discusses the critical elements that must be in place for AI projects to thrive and avoid the common pitfalls that lead to failure. Understand the need for the emerging Chief AI Officer role, how it differs from a Chief Data & Analytics Officer, and the importance of giving it a strong mandate within organisations. Explore the concept of multiplier communities and their role in amplifying AI capabilities across organisations. Andreas shares his vision for AI over the next 5-10 years, including opportunities, potential risks, and disruptions. Andreas leaves listeners with a powerful lesson from 'The AI Leadership Handbook' that every leader should consider when integrating AI into their strategy. This episode is packed with valuable insights for anyone interested in AI leadership and innovation. Whether you're an executive, a tech enthusiast, or someone curious about the future of AI, Andreas Welsh offers guidance and inspiration to navigate this transformative field. Connect with Andreas Welsh on LinkedIn: https://www.linkedin.com/in/andreasmwelsch/ Leaders of Analytics Newsletter: https://www.leadersofanalytics.com/newsletter Subscribe to Leaders of Analytics via your favourite podcast app: Apple Podcasts Google Podcasts Spotify…

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Why Data Science Projects Fail with Evan Shellshear 48:47

for 36 weeks siden48:47

48:47

My guest in this episode is Evan Shellshear, an expert in artificial intelligence and co-author of the eye-opening book "Why Data Science Projects Fail: The Harsh Realities of Implementing AI and Analytics, without the Hype." With nearly two decades of experience in developing AI tools, Evan shares his insights into the real challenges and pitfalls of data science projects, and how organizations can overcome these hurdles. About Evan Shellshear: Evan is a renowned AI expert with a Ph.D. in Game Theory from the University of Bielefeld. He has worked globally with leading companies across various industries, using advanced analytics to drive innovation and efficiency. As an author, his work seeks to demystify the complexities of AI and guide organizations toward successful implementation. Episode summary: In this episode, we explore the critical themes of Evan's book, which aims to shed light on why so many data science projects fall short of their potential. We unpack the exaggerated promises and oversimplifications that often lead to these failures, and discuss practical strategies to avoid them. Discussion highlights: Why Do Data Science Projects Fail? Evan discusses the common pitfalls, including unrealistic expectations and lack of understanding of project complexities. Balancing costs and benefits: How organizations can weigh the costs of failure against the potential benefits of successful data science projects. Avoiding failures: Practical advice on increasing success rates by setting realistic goals and aligning projects with business priorities. Impact of organizational culture: How cultural factors within a company can make or break data science initiatives. Measuring success: Effective metrics and indicators for evaluating project outcomes. You can find out more about Evan's book here , and connect with him via LinkedIn .…

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Getting Higher ROI on your Advanced Analytics with Brian Ferris 49:52

for 47 weeks siden49:52

49:52

Brian Ferris is a seasoned expert with over two decades of experience in technology and advanced analytics. Brian has an impressive track record, having worked in IT consulting for 9 years and client-side roles for 13 years with major organisations like the European Central Bank, BAT, Heineken, Nike and Loyalty New Zealand. In this episode, we dive into Brian's journey from supply chain operations to becoming Chief Data, Analytics and Technology Officer at Loyalty New Zealand. We explore the pivotal moments that shaped his approach to analytics and the leadership qualities essential for fostering a culture that embraces advanced analytics. We also discuss his new book, "Transition to Advanced Analytics: Get a Return on Your Analytics Investment," co-authored with Jason Tan. Brian shares what inspired him to write the book, provides a synopsis, and highlights key takeaways for organisations looking to transition to advanced analytics. Topics covered: Brian's analytics leadership journey: Discover the key factors that contributed to Brian's successful career progression and the pivotal moments that shaped his approach to analytics. Leadership in analytics: Learn about the essential leadership qualities needed to drive analytics initiatives and foster a culture that embraces advanced analytics. Evolution of analytics roles: Understand how the role of data scientists and analysts has evolved and which skills are now more critical than ever. Underrated tips and tricks: Brian shares practical tips and tricks that all data and analytics teams should use to increase their impact. About the book: Hear what inspired Brian to write "Transition to Advanced Analytics" and get a detailed synopsis of the book, including who it’s for and why it's essential reading. Common pitfalls and key takeaways: Find out the most common pitfalls organisations face when transitioning to advanced analytics and the key lesson Brian hopes readers will take away from the book. Brian on LinkedIn: https://www.linkedin.com/in/brian-ferris-a053532/ Brian's book, "Transition to Advanced Analytics: Get a Return on Your Analytics Investment" .…

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Pushing the Boundaries of Healthcare through Data Science with Akshay Swaminathan 52:37

for 1 year siden52:37

52:37

In this episode, I’m joined by the remarkably versatile Akshay Swaminathan, a polyglot who speaks 11 languages and has carved a unique path from medicine to data science. Currently an MD-PhD candidate at Stanford, Akshay's work has taken him from building clinics in Bolivia to pushing the boundaries of healthcare through data science. Akshay's journey is not just about his professional achievements but also his personal commitment to continuous learning and making a global impact. His transition from medicine to data science was driven by his desire to leverage technology for social good, particularly in healthcare. We also explore Akshay's book "Winning with Data Science" aimed at business professionals seeking to integrate data science into their operations. In short, Akshay might just be the most interesting person you’ll come across this year. Previous episode: Ultralearning: How to Master Hard Skills and Accelerate Your Career with Scott Young Akshay's website: https://www.akshayswaminathan.com/ Akshay on LinkedIn: https://www.linkedin.com/in/akshay-swaminathan-68286b51/…

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Data Careers and Creating a Life You Don’t Need a Holiday From with Coert du Plessis 1:07:58

for 1 year siden1:07:58

1:07:58

My guest in this episode is Coert du Plessis, an impressive data and analytics executive, entrepreneur and general lover of life. Coert shares his wealth of knowledge and experience gained through a career and life full of interesting twists and turns. In this wide-ranging conversation, we talk about: Coert’s journey from South African farmland to Australian board rooms How Coert became the CEO of MaxMine Why our ability to tackle climate change depends on the mining industry How to build and sell successful data products Coert’s approach to building a fulfilling and rewarding career in data and analytics The importance of taking risks and running life experiments, and much more. Coert on LinkedIn: https://www.linkedin.com/in/coertdup/ My new book, 'Data-Centric Machine Learning with Python': https://www.packtpub.com/product/data-centric-machine-learning-with-python/9781804618127…

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Pioneering Industrial Optimisation with AI Featuring Nikolaj van Omme 55:08

for 1 year siden55:08

55:08

My guest on this episode is Nikolaj van Omme, CEO and co-founder of Funartech. Funartech is a Canadian company specializing in AI-driven solutions to complex industrial optimisation problems. The company’s secret sauce is combining the two disciplines of Operations Research and Machine Learning. Operations Research is about making the best decisions and solving problems in a structured way, using maths to optimize outcomes. Machine learning on the other hand, is really good at spotting patterns and making predictions from lots and lots of data. The cool part happens when we bring these two together. ML is the detective finding clues in a sea of information, and OR is the strategist, using those clues to make the best moves. By working together, they can tackle challenges neither could face on their own. Find Nikolaj on LinkedIn or via Funartech's website . Previous episode discussed in this interview: Using Data to Build a Better World with Dr Alex Antic…

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Unlock Your Potential: Leadership Lessons in Data Science from Sandhya Iyer 45:03

for 1 year siden45:03

45:03

Sandy Iyer has been General Manager of Data Science at Sportsbet since the beginning of 2023, leading a dynamic team that leverages data in innovative ways. But what does it take to lead in such a data-driven environment? How does one balance the promotion of betting products with social responsibility? And how does data shape the strategy of a betting giant like Sportsbet? These are just a few of the questions we'll explore today. I’ve watched Sandy's career trajectory skyrocket in the last few years, and It's been nothing short of inspiring. In this conversation we explore the key elements behind her impressive progression, including the leadership lessons has she gleaned from her time in the trenches of data science. And more importantly, Sandy explains how can you apply these insights to your own career. From discussing unique data science use cases that have propelled Sportsbet's success, to exploring emerging trends that will shape the future of the betting industry, Sandy offers a wealth of insights. She also shares personal stories of challenges faced and overcome, revealing the qualities essential for any budding data scientist aspiring to become a senior analytics leader.…

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The Dos and Don’ts of Data Literacy with Angelika Klidas 48:26

for 2 years siden48:26

48:26

In this digital age, data is the lifeblood of business. Just as computer literacy became a non-negotiable skill in the 21st century, data literacy is now an essential competency in our increasingly data-driven world. Yet, despite its critical importance, it's an area where many individuals and businesses stumble. Understanding, interpreting, and effectively using data can be challenging, even daunting. The lack of data literacy skills can lead to misinterpretation, misuse, and missed opportunities for businesses and individuals. Many struggle to find a structured approach to elevate their data literacy skills, often feeling lost in the vast sea of numbers and metrics. My guest in this episode, Angelika Klidas, wants to change that. Angelika is a data literacy expert and author of the book Data Literacy in Practice. In this conversation, she shares her invaluable insights and practical tips on mastering data literacy. Whether you're a novice or a seasoned data professional, Angelika's expertise will empower you to upskill yourself, your team, and your organisation, one data project at a time. Angelika on LinkedIn: https://www.linkedin.com/in/angelikaklidas/ More about Data Escape Rooms here .…

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Turning Your Data Warehouse into a Marketing Engine with Tejas Manohar 1:00:37

for 2 years siden1:00:37

1:00:37

Many large organisations have the data to pull off sophisticated marketing strategies, but only if they avoid the common pitfalls that limit the potential. In this episode I interview Tejas Manohar on the huge – and typically unexploited – potential for data-driven marketing and personalisation. Tejas is co-founder and co-CEO of Hightouch. Hightouch is a reverse ETL platform that helps organisations synch their data warehouses with business facing tools and technology. Their products are used by big name corporations like Warner Music, Chime, Spotify, NBA, and PetSmart. In this wide-ranging conversation Tejas and I discuss: What a reverse ETL platform is and why we need it Why Tejas is bullish on turning data warehouses into marketing engines The key steps marketers should take to implement personalization effectively using existing company data and platforms The pitfalls and common mistakes businesses make in data-driven personalisation and how to avoid these, and much more. Tejas on LinkedIn: https://www.linkedin.com/in/tejasmanohar/ Tejas on Twitter (or is it X?): https://twitter.com/tejasmanohar…

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The Hidden World of Data Manipulation: Insights from 'Data for All' with John Thompson 40:34

for 2 years siden40:34

40:34

Every day, like invisible breadcrumbs, we leave trails of personal data scattered across the digital landscape. Each click, every search, every purchase - they all tell a story about us. But do we know where these breadcrumbs lead? Who's picking them up? And most importantly, what are they doing with them? In an era where data is documenting our lives across a host of platforms, understanding these trails and their implications is no longer a luxury but rather, a necessity. It's about our privacy, our rights, and our well-being in an increasingly interconnected world. In this episode of Leaders of Analytics John Thompson and I dive into his newly released book that should be on everyone's reading list - "Data for All". During our discussion, we'll delve into the eye-opening insights Thompson shares in his book, such as understanding the scope and consequences of companies manipulating and exploiting your data. We also explore the step-by-step guide he provides on how to navigate this changing landscape.…

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Randy Bean: Why Chief Data Officers are set up to fail and how to fix it 55:56

for 2 years siden55:56

55:56

We’re definitely in AI hype mode at the moment largely driven by the evolution in generative AI. However, it seems like this progress is not necessarily driving lots of data-related innovation inside organisations that are not AI-first tech companies. A recent survey published by Randy Bean’s company, NewVantage Partners, confirms this. Here are the main findings compared to when the survey was last run 4 years ago: 59.5% of executives say their companies use data for business innovation – the same as four years ago. A drop from 47.6% to 40.8% of executives say their companies compete using data and analytics. Fewer executives (39.5% down from 46.9%) say their companies manage data as a business asset. Only 23.9% of executives now say their companies are data-driven, compared to 31% before. Just 20.6% of executives report having a data culture in their companies, down 27% from 28.3% in 2019. These numbers spell regression, not progress. Why is it so hard to become a truly data-driven organisation? In this episode, Randy and I explore the challenges facing Chief Data & Analytics Officers and their teams, including: How organizations can create an environment that encourages innovation in data-driven initiatives Examples of organisations doing data well, and why How to set clear expectations around the responsibilities of CDAOs The most important qualities for someone in the CDAO role, and much more. Randy on LinkedIn: https://www.linkedin.com/in/randybeannvp/ Randy's website and book, 'Fail Fast, Learn Faster': https://www.randybeandata.com/book…

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From Data to Decisions: Strategies for Building a Data-Driven Culture with Kevin Hanegan 49:21

for 2 years siden49:21

49:21

In a world where data is the new oil, being able to understand, analyse and interpret it is a vital skill. As the saying goes, "knowledge is power," and in this case, data literacy is the key to unlocking that power. I argue that data literacy is as important to individual and organisational success as computer literacy, but unfortunately that is not a consensus view. For many organisations and their leaders, low data literacy is hampering their ability to make effective, data-driven decisions. What is the key to creating a data literate organisation and unlocking the true potential of your data? Who better to guide us through the many aspects of this question than data literacy expert Kevin Hanegan. Kevin is the Chief Learning Officer at Qlik and a renowned author of the books “Data Literacy in Practice” and “Turning Data into Wisdom”. In this episode of Leaders of Analytics, Kevin will be sharing invaluable insights and expertise from his books and his work at Qlik. Listen in as we explore: How data literacy can transform businesses, boost individual careers, and help us make better-informed decisions Practical tips and strategies for developing data literacy skills Common misconceptions or challenges that hold people back from becoming data literate, and how to overcome these How to foster a data-driven culture within organisations, and much more. Kevin's website: https://www.kevinhanegan.com/ Connect with Kevin on LinkedIn . Learn more about the Data Literacy Project .…

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Learning over Knowing: Why You Need to Change Your Problem-Solving Practices with Dhiraj Rajaram 50:17

for 2 years siden50:17

50:17

This episode of Leaders of Analytics features Dhiraj Rajaram, the Founder of global decision sciences company Mu Sigma. Mu Sigma serves more than 140 of the Fortune 500 and the company’s mission is to simplify complex problems through the science of decisions. Dhiraj shares his views on problem-solving in business, and how Mu Sigma's three core beliefs have been instrumental in the company's success. At Mu Sigma, they believe in "Learning over Knowing", "Extreme Experimentation", and "The New IP". Their data-driven decision-making approach has helped solve some of the toughest business challenges and has set them apart from the competition. As an entrepreneur or business leader, you'll gain valuable insights into using data to solve complex issues, as well as an insider's perspective on Dhiraj's entrepreneurial journey. In this episode we discuss: Dhiraj’s entrepreneurial journey from a one-man band to leading thousands of employees The critical moments that led Dhiraj to become a founder and the key elements of entrepreneurial success Mu Sigma’s unique recruitment and training strategy What you can learn from Mu Sigma’s three core beliefs How to make better decisions for your organisation, and much more. Mu Sigma's website Connect with Dhiraj on Linkedin .…

for 3 years siden48:22

48:22

Every company, regardless of size, is dealing with a barrage of data. In any typical organisation, there is more information on hand than we know how to use or manage. While every team in the organisation is screaming for analytics professionals to turn data into insight, a strong data and analytics tech stack is foundational to being able to make sense of it all. The need for a robust and efficient data and analytics tech stack has created a sprawling industry for new technology solutions that sell the promise of seamless integration and faster insights. Today, there are a plethora of data and analytics platforms available, most with very high valuations attached to them. But do we really need all these tools to make us super-powered data users? To answer this question and many more related to the data and analytics tech stack, I recently spoke to Benn Stancil. Benn is the co-founder and Chief Analytics Officer at Mode. Mode is a modern analytics and BI solution that combines SQL, Python, R and visual analysis to answer questions for its users. In this episode of Leaders of Analytics, you will learn: What the perfect analytics tech stack looks like and why. Programmatic automation of the analytics workflow. What will cutting-edge analytics tech be able to do 5-10 years from now. Why Been thinks the Chief Analytics Officer role should be redefined, and much more. Connect with Benn Benn on LinkedIn: https://www.linkedin.com/in/benn-stancil/ Benn on Twitter: https://twitter.com/bennstancil Benn's (brilliant) Substack blog: https://benn.substack.com/…

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