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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 ...
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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…
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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 jour…
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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 …
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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 decision…
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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 bet…
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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 ef…
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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. Hightouc…
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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 li…
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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 th…
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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 n…
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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 bel…
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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 m…
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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 d…
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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 ri…
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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 di…
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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 t…
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Inflation is rising, interest rates are up across the globe and cash is king again. How will this impact the flow of venture investments in start-ups and emerging technologies? While traditional investments may suffer during a recession, the venture capital industry has historically been able to weather the storm and even thrive. One reason for thi…
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30 years of “corporate social responsibility” has left our planet in dire straits. Biodiversity loss, climate change, water pollution, micro-plastic pollution, air pollution, species collapse, ecosystem collapse…the list goes on. What can we all do individually and collectively as business leaders and responsible humans to turn the situation around…
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How does a traditional bricks-and-mortar retailer transform itself into an omni-channel business with strong digital and data science capabilities? In this episode of Leaders of Analytics we learn from Bunnings General Manager, Data and Analytics, Genevieve Elliott, how the company is transforming its operations using data and analytics. As Austral…
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Is your company good at customer success and retention? Chances are that you could be better. For most businesses with a recurring revenue model, customer churn is a very costly affair. Whenever a customer leaves, you lose out on recurring revenue, forgo the opportunity of expansion (cross sell) revenue and have to pay for another round of acquisit…
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Do you really need a data-driven culture? Maybe not. According to Bill Schmarzo, the CEO’s mandate is to become value-driven, not data-driven. For analytics teams that means one thing: no one cares about your data, they want results! In this episode of Leaders of Analytics, Bill and I explore the economics of data & analytics and how to drive power…
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Great analytics teams understand that they are responsible for two things concurrently: production and consumption. Most analytics teams master the production part well. After all, that’s why they exist, to produce analytics. However, analytics only matter if someone consumes them and makes valuable decisions as a result. “Decision + value” is what…
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If you’re anything like me, you have a love/hate relationship with marketing. Marketing can be delightful, obnoxious or somewhere in-between, depending on content and context. Most of us remember an ad from our youth that has given us a life-long emotional connection to a brand or product. Most of us also remember that obnoxious sales call or email…
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Business leaders are changing. Today, it’s not enough to be a strategic thinker and good people leader to be successful in the corporate world. Why? Modern business leaders are customer-centric and understand how to create a personalised customer experience using customer data. Modern business leaders are data-driven and understand how to make deci…
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Most of us take for granted that food is always available to us when we need it. Our local supermarkets have shelves stacked with produce from all corners of the world. Rarely do we stop to think that the items in our shopping carts have been on a long journey involving months of work by many people. How does all this food get produced in the first…
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Professional sports have undergone a true data revolution over the last two decades. Today, all major sports teams, regardless of sports code, use analytics and data science to drive team performance, optimise game outcomes and scout young talent. Why has analytics become so popular in professional sports and how does it help drive a competitive ed…
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It’s no secret that data and analytics can be used to create a competitive advantage for almost any modern business. In fact, the customer data you capture in the course of doing business is one of the strongest differentiators between you and the competition. So, how do we build an organisation that is capable of both producing and consuming truly…
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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 …
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In a recent conversation with data warehousing legend Bill Inmon, I learned about a new way to structure your data warehouse and self-service BI environment called the Unified Star Schema. The Unified Star Schema is potentially a small revolution for data analysts and business users as it allows them to easily join tables in a data warehouse or BI …
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Modern analytics teams are central business functions directly and indirectly responsible for increasing revenue, reducing costs, optimising processes and improving customer and employee satisfaction. But there are many obstacles along the way. Data needs collecting, projects need careful design and execution and stakeholders need convincing. Analy…
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There is so much to learn! If you’re anything like me, you’re overwhelmed by the number of books, articles, podcasts, online and offline courses, webinars and other training opportunities out there. Today, we’re not short of learning materials, but often lack the time and capacity to learn new things. But what if there’s a better way to learn? Ente…
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An estimated 80 to 90 percent of the data in an enterprise is text. Sadly, this rich information is mostly neglected for analytical purposes. Textual data is typically full of information, but also very complex to interpret computationally and statistically. Why? Because textual data is both content and context. The same words and sentences can hav…
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This is the second episode of a two-part series of Leaders of Analytics featuring global data science thought leader and influencer Felipe Flores. Felipe is a global thought leader and influencer in the field of data science and artificial intelligence. He is the founder of Data Futurology – a podcast and events company with more than 10,000 weekly…
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Automated decisions, personalised customer and employee experiences and data-driven decision-making are at the core of digital transformation in the 2020s. In other words, data is eating the world and all modern leaders must know how to use data, analytics and advanced data science to power their organisations. So, how do organisations set themselv…
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When we talk about data and AI ethics, we typically view this through a privacy lens. That is, someone’s personal data has either been compromised and ended up in the wrong hands, or personal data is used to manipulate or create adverse outcomes for individuals or minority groups. These factors are still fundamental to AI ethics, but there is now a…
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Is the typical hiring and job search process broken? It is definitely full of bias. First, we get interested candidates to submit their resumes. Then someone (typically not the hiring manager) will pick out the resumes that look most interesting to them. Resumes that survive are typically carefully curated for someone to be able to form a positive …
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Blockchain technology, cryptocurrencies and decentralised finance are described by some as massively disruptive technologies that will turn our existing financial system on its head. For the traditional financial services industry, these technologies have the potential to create huge efficiency gains and democratise more complex financial services …
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Data is everywhere, but do we know what it means? A common problem for many enterprises wanting to adopt cutting edge, data-driven solutions is that they have a ton of legacy applications interlinking with more modern tech stacks. If the organisation is large or complex enough, it typically becomes unrealistic for any one individual to understand h…
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Ever heard of ‘synthetic data’? Synthetic data is data that is artificially created (from statistical models), rather than generated by actual events. It contains all the characteristics of production data, minus the sensitive stuff. By 2024, 60% of the data used for the development of AI and analytics projects will be synthetically generated, acco…
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Is AI good or bad? That would depend on how AI is applied. AI is a revolutionary capability with the power to do a lot of good and plenty of bad, on purpose or by omission. In order for AI to become a social good that improves our lives in broad terms, we must necessarily pick the right use cases and design solutions with a strong focus on ethics a…
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Data is eating the world and every industry is impacted. In most modern businesses, customer and employee activities create a plethora of data points and information that can be analysed and interpreted to make better decisions for the business and its customers. Unfortunately, this sounds a lot easier than it is. Despite the huge mountains of data…
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"We’re at a crossroads when it comes to data and its ability to make a difference. Data sprawl has become a real and costly problem inside organizations, and it is hurting innovation. Throwing good money at bad ideals is no longer acceptable, ROIs must be attained. Let us embrace innovative technology, but let us also keep in mind that data itself …
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We are living in an artificial revolution where the balance of power and political influence is shifting towards those who control data and technology. Automation is transforming our economies and making some jobs obsolete. Companies harvest our most intimate secrets and use them to feed us tailored information and sell us products. The metaverse i…
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When we talk about analytics and AI-driven organisations, we often think of the likes of Google, Amazon, Facebook, Netflix and Tencent, which have all risen to dominance during the internet era. But what about companies that have been around for much longer, can they achieve the same results with their data? To answer this question, I recently spok…
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Why is the Data Scientist role called the sexiest job of the 21st century? I believe it’s partly because the data science profession is constantly evolving to include new data types, new tech and tools, new modelling techniques along with an increasing ability to drive customer and business outcomes with data. The main challenge for data scientists…
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In my opinion, any organisation with respect for its data should have a Chief Data & Analytics Officer (CDAO) as part of their C-suite. Although the CDAO role is still nascent, business leaders across many industries are starting to appreciate the need for a data and analytics voice at board and executive level. So, what does a CDAO do? How should …
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Data science and machine learning are integral parts of most large-scale product manufacturing processes and are used to understand customer needs, detect quality issues, automate repetitive tasks and optimise supply chains. It’s an invisible glue that helps us produce more things for less, and in a timely fashion. To learn more about this fascinat…
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Data science and machine learning are continuing to evolve as core capabilities across many industries. But high-quality data science output is only half the story. As the data science profession matures from “back office support” to leading from the front, there is an increasing need for more integrated systems that plug into business operations. …
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“Out of stock”. Three words with a great deal of significance for retailers and their customers. It is estimated that retail products are out of stock 8% of the time in physical stores, and more than 14% of the time in e-commerce stores, leading to frustration for retailers and customers alike. Retailers miss out on important revenue from the forgo…
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My guest on this episode of Leaders of Analytics is Kate Strachnyi. Kate is a well-known figure in the global data community. She is a master educator and prolific content creator who has built an online community of almost 200,000 followers. Through the DATAcated brand she runs online training, seminars, conferences, expos and podcasts while conne…
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