Global Blog

Wie kann data Mesh den Herausforderungen einer zentralisierten data-Architektur begegnen und zu einer besseren Nutzung von data durch das Betriebspersonal beitragen?

By applying product thinking to datasets and ensuring they have capabilities, domain teams can create data products.

Justine Nerce and Killian Gaumont (Artefact) along with Amine Mokhtari (Google Cloud) conducted a Data Mesh Workshop.

To achieve carbon neutrality and faced the climate emergency, the challenge for large companies is first to track the carbon footprint.

How can the company’s decision-making body and governance be adapted to take better advantage of the data age?

Treasure Data interviewed Artefact to get a better understanding of how Artefact partners with TD to help businesses leverage data for tangible impact across the entire value chain.

Data transformation has been a hot topic in the business world for almost a decade, but it’s gained even more importance since COVID-19.

The role of Chief Data Officers continues to grow and CDOs move up in hierarchy across companies’ leadership boards.

It's challenging for companies to consistently measure their environmental impact and prioritize the actions to reduce it.

In this article, Chris explains what Data Mesh is and what it isn’t, why it’s as much a mindset as an approach, its benefits and challenges.

At Artefact, we want to address Curve of Data governance from an operational standpoint with our article series, “Insights from the field”.

2021 was a year of transition marked by a strong increase in data maturity. This podcast explores trends to be expected in the months to come in regards to accelerating 1P data collection, expanding brands' CDPs and increasingly probabilistic approaches to performance measurement.