Podcast archive

Slow or inadequate data infrastructure can seriously hinder the progress of data science projects, making it a constant battle to balance the need for speed with accuracy and quality.

Despite misconceptions that AI is only for technical industries, businesses across all sectors can leverage this technology. That's why it's crucial to understand the capabilities of AI.

A great data leader is a provocateur. They "provoke" the organization with their ideas and demonstrating success.

Learn how to extract business value from text from the father of the data warehouse: Bill Inmon.

Analytics requires a real involved effort across the entire organization. So what does it take to build team that not only understands your organization's data but the analytic and business requirements as well?

We map the habits you need to develop for maximum business impact and promotion.

What is semantic modeling? How and when do you need it? Can you automate it?

Can a system help us build better products?

What were the biggest lessons you learned this year in data management? Join me in this end-of-year LIVE podcast with the host of the MetaDAMA podcast Winfried Adalbert Etzel.

This is a big-picture conversation that drills into some of the worse anti-patterns in the Modern Data Stack movement. How do we deliver data at scale without breaking the bank?

Taxonomy is the practice and science of categorization or classification, and it’s what we need if we want to be able to search for data.

Psychological safety fuels learning and growth. It feels good and it’s good for business too!

How do you leverage unstructured data to create better and more sustainable products, increase margins, and grow the business?

How can we maximize innovation in the enterprise? Today I learn from Ron Itelman in a voyage from data contracts to metacognition, neuroscience, and more.

How do you come up with new ideas to monetize data assets?

Business users must be able to communicate their data needs quickly without writing code. This is the idea of the semantic warehouse. But how do you build one? Join me as I learn from Chad Sanderson, Head of Data at Convoy.

Data therapists are translators that sit between business and technical data leaders. What happens in a data therapy session? Who runs it? When do you know you need one?

The average CDO has 2 years to turn data into business value. Today we talk about data-as-a-product, implicit and explicit knowledge, and the cultural revolution we need to turn data into knowledge at scale.

What’s the business impact of data observability? Today we continue the conversation with Salma Bakouk, CEO and co-founder of Sifflet.

If data means money we want to detect data issues before they turn into costly mistakes. We need to go from firefighting to fire prevention. Today we dive into data observability with Salma Bakouk, CEO and co-founder of Sifflet, a full stack data observability platform.

Welcome to part 2 of turning data into knowledge at scale, and about the arduous job of cleaning, defining, collapsing and expanding information and knowledge in the enterprise. Join me as I learn from Jessica Talisman senior Taxonomist at Pluralsight.

Today we talk about turning data into knowledge at scale, and about the arduous job of cleaning, defining, collapsing and expanding information and knowledge in the enterprise. My guest today is Jessica Talisman senior Taxonomist at Pluralsight.

If data and analytics are going to be taken seriously by business executives, we need to talk about value in their language. Today I speak with Bill Schmarzo about the skills, mindsets and mental models we need to find a revenue connection in everything we do.

A data catalog promises to help everyone search and find every document and datapoint in the organization but it's easier said than done.

Trailblazer is a series of short interviews designed to inspire you to lead the data conversation. Today we learn from Kay Firth-Butterfield, Head of Artificial Intelligence and a member of the Executive Committee at the World Economic Forum.

Can Aikido's principle of "going with" instead of "against" a threat help us become better leaders? Join me as I learn from Aikido black-belt, Andrew Sunter.

What does a day in the shoes of an information architect looks like? What can we do to help them do their job better?

If we want to win in complex, uncertain, and volatile environments we need both sides of our brain, the artistic and the analytical side.

In digital marketing we get so fixated with conversion rates and exponential growth curves that we often don’t have time to worry about data privacy and data ethics. What are the long term business impacts of unethical use of personal data?

Trailblazer is a series of short interviews designed to inspire more women to lead the data conversation. This is a partnership between Discovering Data and Women in AI. Today we learn from Lillian Pierson, CEO and Head of Product at Data-Mania.

When was the last time you had an important fact to share but nobody seemed to care? This is for you if you want to learn how to communicate insights effectively and make things happen. My guest today is a master data storyteller: Brent Dykes.

Bias kills creativity and can lead us to the wrong solutions. One way to detect and correct for bias effectively is with a culture of diversity and inclusion. How does this help us build safe and innovative solutions? Join me as I learn from Debbie Botha.

Every data leader wants to be a strategic partner to the business. What does it take to do this effectively? Today we dive into design thinking with my guest Brian T. O’Neill founder and principal at designingforanalytics.com, and host of the Experiencing Data podcast.

Today we learn about the role that trusted data played to scale an eCommerce business to $1B and beyond with James Edwards, CDO and founder of Pet Circle. We talk about the business impact of fragmented data and strategies to bring everyone on the same page.

As tools get better in the modern data stack, business impact is increasingly dependent on effective communication, collaboration and governance. What does it take to do this well? Join me with Matt David, Product Marketing Manager (Data) at Atlassian.

Discovering data only makes sense if it stimulates a conversation, and it's hard to have a conversation when you broadcasting. How do we make it more interactive?

Data lineage is one of the most complicated and expensive data management initiatives. What does it mean for the business? How can we set it up for success? Hear it from Irina Steenbeek.

Data lineage is about gaining confidence in the data to save time, money, and even lives. How do you sell it to the business? Follow me as I speak to Jan Ulrych VP of Research & Education at MANTA

New year, new name! The Data Project becomes Discovering Data. In this episode I talk about what this project is becoming and how it will help you become a more impactful data leader.

The latest research shows that 90% of the SP500 is attributed to intangible assets, of which data is a big chunk. But is data and information truly intangible? Can we actually feel data?

Managing data assets is not just about technology but the right platform can make our life a lot easier. The folks at Ataccama are leading the space. What are they doing differently?

Data is an intangible asset with unique economic properties. What are some of the strategies we can use to monetize it? Follow me as I unpack this with Doug Laney, author of the book "Infonomics".

How can we use data to improve the relationships that make up our businesses? Follow me as I speak to FX Nicolas, VP of Product at Semarchy.

Being more effective for me starts with learning how I behave, and for that I need just the right amount of information. How does this scale when you are looking at a team?

"I've never seen an organization that understands the cost, value, and benefit of their information assets." Follow me as I speak with James Price, a black belt in information asset management.

There is an expectation that if you are under 40 and you have an internet connection you naturally "get" data. That's not that simple and we are leaving people behind. The solution? Follow me as I speak with Ben Jones, founder of dataliteracy.com.

Data is useful when it's structured and easy to use in context. But why is it? Learn with me as I speak with Vice President of DAMA Australia Andrew Andrews.

Data science is about modelling the right business problems with reliable data and domain knowledge. Without a solid data management program this is simply not going to work.

Data Governance is the cornerstone of every successful data management program, but it is often associated with suffocating rigidity, great cost, and unclear ROI. How can we get it right?

What can data teams learn from community managers? When my friend and community manager Ravit Jain reached out I was thrilled to discover how his mindset at work could be useful to data teams.

In this short solo episode Loris speaks about the lessons learned so far skating at the boundary between business and technical leaders.

Data management is a strategic imperative for any organisation but it doesn’t get the attention it deserves. Follow me as I speak with a master data storyteller Scott Taylor.

Insights are worth nothing unless they are used. As most of our decisions are made emotionally self-awareness is crucial to tell compelling stories and build trust.

Analytics engineering is about delivering high quality data transparently to everyone comfortable with SQL. This episode is about the big ideas behind the modern data stack.

Today I speak with Nadja Jury about her 7-steps plan to navigate uncertainty when building new data products. The path is not an easy one, but nothing worth having comes easy.

Data is not just about numbers, it requires a psychologically safe environment and a culture built on curiosity and personal growth.

What holds back a product analyst? Implicit assumptions, luck of trust and poor data integration as just the beginning. This is about succeeding in an information immature organisation.

In the real world things move much quicker than your data, but the business needs answers now. How do you use incomplete information to deliver actual business value?

Learn about confirmation bias, hypothesis testing, the difference between data and software engineering, DataOps vs DevOps, the Dunning Kruger effect, and other topics.

Different paths to data science, the importance of setting up the right incentives, and how to design data products that are actually useful.

A truly cross-disciplinary approach to leading with data.