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Leaders of Analytics

Leaders of Analytics

Jonas Christensen

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.

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Top 10 Leaders of Analytics Episodes

Goodpods has curated a list of the 10 best Leaders of Analytics episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to Leaders of Analytics for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite Leaders of Analytics episode by adding your comments to the episode page.

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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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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“Being an entrepreneur is basically like going from one crisis to the next”. Those are the words of Michael Kingston, co-founder and CEO of Seeda.

At a point in his career when Michael was thriving, he took the daunting plunge from successful executive to entrepreneur and start-up founder. Most people would be too scared to take such an enormous risk; however, this step has been Michael's key toward work-life satisfaction.

Three years later, Michael and his co-founders have built Seeda, an AI-assisted marketing analytics product, purpose-built for Shopify-based eCommerce platforms. Seeda helps marketers make sense of the enormous amount of data coming at them from numerous sources and use it to optimise their marketing activities.

Whether it’s SEO, email marketing or digital advertising, marketers are often stuck with a heavy burden of technical9 implementation and optimisation. Seeda’s product is the “AI analyst” that helps the world’s 5 million Shopify stores figure it all out, without needing to be a technology or analytics expert.

If you’re curious about start-up life or are thinking about starting your own business, then this episode is for you!

In this episode we discuss:

  • How Michael gradually but surely made the shift from employee to entrepreneur
  • How Michael figured out what he wanted to work on as an entrepreneur
  • How Seeda’s “AI analyst” is a potential game-changer for Shopify-based businesses wanting more out of their marketing efforts
  • The scaled data architecture that allows small businesses to take advantage of data practices normally reserved for large corporates
  • Michael’s advice for anyone wanting to start their own business, and much more.

Michael on LinkedIn: https://www.linkedin.com/in/michael-kingston-35707217/

Check out Seeda: https://www.seeda.io/

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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.

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In this episode of Leaders of Analytics, I am joined by Ada Guan who is one of the most innovative minds in the field of credit decisioning.

Ada is CEO and co-founder of Rich Data Co, a company that helps lenders make informed and accurate credit decisions by leveraging AI and machine learning.

Listen in as Ada sheds light on the role that AI and machine learning can play in transforming the lending industry and what the future may hold for credit decisioning.

In this episode, we'll discuss:

  • Ada’s entrepreneurial journey
  • The typical pain points lenders face and how RDC’s unique AI solution solves these problems
  • What makes RDC’s solution unique and why banks should buy rather than build themselves
  • How to find product-market fit or an AI product
  • The additional benefits an AI solution brings over traditional credit scorecards or rules-based decisioning engines, and much more.

Learn more about Rich Data Co here: https://www.richdataco.com/

Connect with Ada Guan on LinkedIn.

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Data is revolutionising our world, yet many companies fail to harness its value. What needs to be done for CEOs to see the value of having analytics as part of the executive inner circle?

Unfortunately, many analytics teams struggle to move past the common challenges of fostering analytics literacy, getting executive buy-in for more investment in data and analytics and showcasing the value delivered into the business.

How can analytics leaders make their discipline an indispensable superpower in their organisation? In this episode of Leaders of Analytics, long-time analytics C-suite executive Murli Buluswar gives us the formula for success.

Murli is Head of Analytics, US Consumer Bank at Citi, and leads a team of almost 600 analytics professionals. He reports directly to the CEO and his team is responsible for supplying the rest of the organisation with insights and data-driven solutions that lead to better customer experience and engagement.

In this episode of Leaders of Analytics, Murli explains:

  • How to position an analytics function as a key strategic enabler
  • How Citi’s analytics department picks and validates the most valuable use cases to work on
  • How to foster the skills and organisational discipline to push analytics into the rest of the organisation
  • How to measure and communicate an analytics team’s impact on the company and its customers
  • What’s required of analytics leaders to elevate their function to the C-suite, and much more.

Murli Buluswar on LinkedIn

Previous episode: Why Sport is Leading the Analytics Revolution with Ari Kaplan

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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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Leaders of Analytics - Building a Digital Government with Victor Dominello MP
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02/14/23 • 43 min

Digital transformation is rapidly changing the way we live and work, and governments should be leading the way forward, according to Victor Dominello MP.

As the Minister for Digital and Minister for Customer Service in the State Government of New South Wales in Australia, Victor believes government should be playing a central role in fostering a digitally-enabled economy across government, private enterprise and individual consumers.

Victor is a true servant leader and an inspirational figure in Australian politics, having served almost 15 years in the State Parliament of New South Wales, and 12 of those as a Minister. He has spent this time turning his vision for data and digital enablement into reality across a large number of ministries and government agencies.

In this episode we discuss:

  • How Victor went from reluctant politician to long-serving minister and the sign from above that made him enter politics
  • What the Digital Government is and how it will help change our lives for the better
  • Government’s role in digitising small businesses
  • Imminent initiatives to protect consumers against identity theft and cyber attacks
  • What true servant leadership and customer service looks like
  • How to provide leadership and collaboration across a complex web of government entities
  • The biggest leadership lessons Victor has learned as a top politician and executive leader, and much more.

Victor Dominello on LinkedIn: https://www.linkedin.com/in/victordominello/

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As the digital landscape evolves, privacy concerns and regulations are becoming increasingly important for advertisers. With the decline of third-party cookies and the rise of individual data usage consent, measuring advertising attention is more crucial than ever.

One of the biggest challenges for advertisers in a cookie-less world is being able to accurately measure the effectiveness of their campaigns. Without cookies, it's harder to track user behaviour and understand how their ads are performing.

However, measuring advertising attention through alternative methods such as viewability, brand lift studies, and surveys can be helpful, but they provide vague and delayed signals about advertising effectiveness.

How can advertisers measure the attention and effectiveness of their advertising in real-time?

To answer this question, I recently spoke to John Hawkins, Chief Scientist at Playground XYZ. Playground XYZ provides a machine learning-based platform for measuring and maximising attention on digital ads.

The company’s Attention Intelligence Platform is a unique technology that uses over 40 different signals to track user attention as it happens.

In this episode of Leaders of Analytics, we discuss:

  • How Playground’s attention measurement platform works in practice
  • The importance of attention time in a world without cookies, where privacy and consent are increasingly of mandated importance
  • Dealing with the complexities of multi-layered machine learning pipelines and convincing stakeholders of their value
  • How data science professionals can foster the right non-data science skills that will make them true unicorns, and much more.

John on LinkedIn: https://www.linkedin.com/in/hawkinsjohnc/

John's book, Getting Data Science Done.

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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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FAQ

How many episodes does Leaders of Analytics have?

Leaders of Analytics currently has 60 episodes available.

What topics does Leaders of Analytics cover?

The podcast is about Management, Podcasts, Business and Careers.

What is the most popular episode on Leaders of Analytics?

The episode title 'Turning Your Data Warehouse into a Marketing Engine with Tejas Manohar' is the most popular.

What is the average episode length on Leaders of Analytics?

The average episode length on Leaders of Analytics is 52 minutes.

How often are episodes of Leaders of Analytics released?

Episodes of Leaders of Analytics are typically released every 13 days, 22 hours.

When was the first episode of Leaders of Analytics?

The first episode of Leaders of Analytics was released on Jul 11, 2021.

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