Hub & Spoken: Data | Analytics | Chief Data Officer | CDO | Data Strategy

Hub & Spoken: Data | Analytics | Chief Data Officer | CDO | Data Strategy

The Hub and Spoken podcast is a series of fascinating discussions with today's top data and business leaders from across the business world. The podcasts explore how to add most value to organisations through the use of data and analytics and how best to organise yourselves to achieve that value. It talks about defining and delivering a data strategy and the best way to return business value.

Episodes

September 16, 2021 31 min

In this episode, Jason talks to David Lapier, Head of Global Data Analytics at Pernod Ricard, a fast-moving consumer goods (FMCG) company that specialises in wine and spirits. They discuss how data is used at Pernod Ricard for daily operations, the traps to avoid when rapidly implementing a data strategy in a consumer goods company, how to build cultural trust in data, plus how to find and fix issues that may come up.

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In this episode, Jason Foster shares some of the key things he's learnt about delivering value from data. This is based on his years of experience helping 100s of organisations and thousands of individuals to do just that. A clear summary to craft a roadmap to get value from your data articulated in 9 key lessons.

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In this episode, Elyette Roux (Chief Sales & Marketing, Communications officer at Nexans) talks about how data can affect business transformation, how it is effectively implemented, and the present challenges and risks in adopting too many changes. Elyette shares insights into the life cycle of data transformation, the cultural challenges organizations face in the process, and why Agile Methodology works well versus the more wa...

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In this episode, Jason Foster talks to Jérémie Jakubowicz, Vice-President of ManoMano, about the use of data in making predictions, and its integral role in artificial intelligence. ManoMano is currently the largest gardening and DIY online marketplace in Europe. Jeremie shares his background from academia into corporate data, the role data has played in ManoMano, and how it became a data-native business. Last but not least, he rev...

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In this episode, Jason talks to Jose Murillo, the Chief Analytics Officer at Mexico’s 2nd largest bank, Banorte. They discuss the importance of experimenting with new ideas, rapidly evolving a data strategy, and collaborating with academia. Jose shares his journey from a Ph.D. in Economics into the world of data, how he and his team developed their data strategy to accommodate rapid growth and innovation, the importance of strategi...

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In this episode, host Jason Foster talks to Murali Bhogavalli, Data Product Manager at Tinder. They talk about the concept and the idea of treating data as a product, the roles of Data Product Manager, and how the industry is shaping around it.

Murali shares his journey as Data Product Manager, the challenges of the role, what treating data as a product means, and the evolution of agile methodologies in the context of data.

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In this episode, Jason talks to Tara Halliday, an expert on imposter Syndrome, who helps executives and coaches break through their limiting beliefs. She has coached many leaders across a range of different fields and has written the book “Unmasking: The Coaches Guide To Imposter Syndrome.”Imposter Syndrome is an incredibly common phenomenon in high-pressure workplaces and high-achievers. Tara shares her knowledge and experience on...

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In this episode, Jason Foster talks to Carlos Soares, Chief Data and Analytics Officer at Analytics Worx (he has also worked in other analytics transformation roles at Diageo, Nike, Vodafone and Liberty).

They discuss the importance of delivering value-based data and why you need to create a safe space for your data team to innovate and improve constantly.

Carlos shares the challenges of his various data leadership roles, what valu...

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In this episode Jason Foster shares insight into what ‘buy-in’ is, and how to go about getting managerial and investor support when it comes to funding for your data strategy. How best can you communicate your strategy’s value to stakeholders? With the right planning and preparation you’ll be able to effectively remove any doubts the stakeholders may have, so they can invest with confidence.

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In this episode, Jason talks to Sarah Moore, Chief Data Intelligence Officer at NOW (formerly NowTV), about audience acquisition and retention in the fast-paced world of television.

When it comes to accessing large amounts of data in a fast-paced environment such as television, preparation and scalability is key. Without the right level of sophistication in your data frameworks, there is the potential to miss capturing important da...

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In this episode of the podcast host Jason Foster outlines the importance of having an adaptable data platform. A data platform should be built in a way that we can learn, develop, grow and enhance what we do.

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In this episode, Jason talks to Lillian Pierson, CEO of Data Mania, an educational enterprise that helps emerging data scientists and leaders. In the world of data science, skills are constantly changing and evolving. Lillian shares insight into how mentorship can help you to develop and hone your skills while you expand your knowledge. The conversation also covers the need for a data leader to have a strong understanding of the co...

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In this episode host, Jason Foster talks to Sivan Metzger, the Managing Director of MPOps and Governance at DataRobot, about the approach needed to create robust machine learning solutions. They discuss the need for streamlining and governing machine learning to ensure success and the four components that deliver a strong MLOps operating model including deployment, monitoring, lifecycle management, and model governance.

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 In this episode host, Jason Foster explores the role of the modern Chief Data  Officer (CDO) and the kind of environment that is required to breed success. He talks through the role and what it’s about, the characteristics of those entering the role, the route people take to become a CDO, and where they go next.

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In this episode, Jason talks to Pye Nyunt, Head of Innovation at London Borough of Barking and Dagenham. It is a local authority that services about 213,000 people in the East London region. For local governments that work closely with so many different people on a daily basis, data is often part of the solution. They discuss how data is used in council areas to improve the outcomes governed by current legislation and policies.

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In this episode host, Jason Foster, argues that the metaphor ‘data is the new oil’ shouldn’t be used as it comes with such negative connotations and is ineffective at explaining the value of data in organisations. He uses a balanced argument to explain the reasons the metaphor does work and the longer list of reasons it doesn’t work as an analogy. He also puts right how The Economist is misrepresented in an article it wrote in 2017...

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In this episode, host Jason Foster, talks to Rob Barham, Director of Data at Gousto, about how they embed data into everything they do. They discuss what a data native business looks like, how data plays a part in Gousto’s growth ambitions and culturally how this manifests itself across the organisation. They explore how they are set up and work cross-functionally to ensure effort is focussed on business outcomes and that data acts...

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In this episode, host Jason Foster, considers whether art or science plays the most important part in creating a data-guided organisation. He talks about the influence art has on the success and failure of data science strategies and the right blend to achieve positive outcomes. What's more important art or science in your data strategy?

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In this episode Jason talks to Viktor Kazinec, Head of Analytics at Close Brothers, to discuss the value of working closely with external stakeholders on data science solutions. They discuss how to choose data projects that can prove and add value, the success drivers of a team, managing and gaining buy-in from internal and external stakeholders, and creating high-performing data science teams.

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