Episodes

The average CDO has 2 years to turn data into business value. The trouble is that most of the time data is fragmented and poorly managed. Can treating data as a product help to change this?Today I learn from two …

Data therapists are translators that sit between business and technical data leaders. They are great facilitators, they understand tech but they also speak business. What happens in a data therapy session? Who runs it? When d...

The gap between business and technical people costs companies billions every year. Data practitioners need to learn more about the business if they want to create useful and usable data products. But nobody knows the business...

How do you come up with new ideas to monetize data assets? My guest is the one and only Doug Laney who just published a new book called Data Juice: 101 stories of how organizations are squeezing value from available …

Network effects happen when we remove all silos and align systems and people. As we’ll see today, this is more than just a data challenge. In an attempt to introduce data contracts, we end up exploring the realm of experience...

Leverage unstructured data to create better and more sustainable products, increase margins, and grow the business. Today I learn from Korbinian Spann, CEO, and founder of Insaas.ai . You can follow Korbinian on LinkedIn .

Psychological safety fuels learning and growth. It feels good and it’s good for business too! After a decade working in Simon Sinek’s team and hundreds of keynote presentations my guest Stephen Shedletzky—or “Shed” to his fri...

The data space is crying out for great leadership. But what is a leader? Anyone who is setting a path and providing direction for those around them to follow. A great data leader is a provocateur. They have the courage …

There is enormous and largely untapped business value in text. But managing and modelling this type of data is riddled with challenges. Today I learn all about textual data from the father of the data warehouse, Bill Inmon. B...

If you are a data engineer you probably feel that turning data into knowledge is super hard, no matter the architectural paradigm you use. Data sprawl is a nightmare. It erodes trust, and adoption, and it makes it really hard...

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? Today we think about “incrementalism” and why t...

You can’t talk to your stakeholders if your pipelines are down. You can't get good quality sleep if your data products brake in the middle of the night. You can't earn the trust of your stakeholders if it takes you …

What is semantic modeling? How and when do you need it? Can you automate it? Today I speak with Panos Alexopoulos author of the book "Semantic Modeling for Data - Avoiding Pitfalls and Breaking Dilemmas" published by O'Reilly...

How often do you get invited to business meetings? Do your stakeholders know why and how your work helps them? As data engineers, it's easy to be labelled as the “smart techies” that speak a language nobody else understands. ...

Data and analytics is a team effort that involves everyone across the entire organization. It's not just about finding someone smart who is knee-deep in the data and wants to step up. Not just the data engineers, database man...

The data space is evolving at a rapid pace. You might be making the mistake of focusing too much on the technical aspects and neglecting the critical role of business intelligence. To truly leverage the power of AI and make …

As an infrastructure engineer, you know how frustrating it can be when data infrastructure gets in the way of data science projects. Business leaders expect results at the speed of business, but slow or inadequate data infras...

In this episode, I sit down with Ravit Jain, community manager at Packt Publishing, to explore the power of authentic community building and content creation. Ravit shares his journey from market research to community managem...

Insights are worth nothing unless they are used. In this episode I speak with Gilbert Eijkelenboom—a true innovator in behavioral economics and the human side of data. Gilbert shares his journey from the technical trenches of...

Welcome to a cross-disciplinary journey to design and execute your data strategy.

Today we explore the multifaceted challenges in data science. We talk about the mismatch between data science expectations and deliverables, the lack of user-centric design, and the insufficiency of experienced mentors for ne...

What is a data product? In this episode we talk about the types of decision support products (insights and foresight) the importance of compelling data stories, and dealing with biases and uncertainties. We touch on the diffe...

Today we talk about the importance of business understanding to extract actionable insights, and common challenges in data analytics. We touch on the discrepancy between business needs and technical capabilities, the complexi...

Today, I’m speaking with Luiza Menezes. Luiza is a seasoned data analyst with a passion for analytics. Her journey started back in 2014 when she flew to Sydney to study robotics at the University of Sydney. Later, she spent t...