What Toy Story, Pixar, Steve Jobs and Data Functions Have In Common
This blog explores how data teams can move beyond numbers to create narratives that connect, inspire action, and make insights unforgettable. Because in data, as in cinema, story should come first.
The Cost of Doing Business: Tariffs, Trade War, and the Global Supply Chain
Amid rising tariffs and trade tensions, logistics firms are rethinking global supply chains. We explore how resilience, technology, and data-driven strategies are key to navigating today’s unpredictable trade landscape.
Strengthening Data Culture across a major U.S. Bank with DCAM®
A three-year DCAM journey that helped a major U.S. bank cut confusion, build clarity and set a stronger foundation for its data strategy.
Data trends to watch for in 2024
What will 2024 bring in the world of data? If AI is here to stay, it’s time to focus on Data Governance and Data Fluency – because clean data is more important than ever.
Data trends that shaped 2023
2023 was a busy one in the world of data, with the rise of AI, new concepts like Data Products, and challenges to the way Data & Analytics teams prove their value.
The Data Leadership Series Part 6 – A festive fireside splat
Webinar | In this episode we round up the major events in the world of data in 2023 and look ahead to 2024. You’ll hear our reflections on the ever-growing data landscape and look back on some of the challenges and indulge our curiosity as we make some predictions for the next 12 months
Data product supply chains – an enterprise view
Organisations navigate complex data environments, with Data Leaders leveraging data products for utility, quality & convenience in the Data Product Lifecycle.
The rise of data products
Data Leaders debate managing data as a product. Embracing this shift can fuel product development, with engagement, assessment, and robust frameworks being key.
7 Avoidable Mistakes with Data Products
Guide | A data product makes a data asset reusable and consumable. Data assets can be datasets, dashboards, machine-learning models and more. Here are some of the pitfalls you should consider when building data products.
The Data Leadership Series Part 4 – Demystifying Data Products
Webinar | A Data Product is a way to make a data asset reusable and consumable. It is an idea that combines data management with product thinking but there is a lot of confusion about what it is or what it should be. In this webinar we provide context to this debate and share some useful insights for Data Leaders who are reflecting on this topic. Watch on-demand now.
