Artificial intelligence is reshaping how organizations work with data, not just at the analytics layer, but much deeper in how data is defined, governed, and operationalized. While much of the attention is on new capabilities such as automation and generative insights, a more foundational shift is taking place. AI is bringing renewed focus to the …read more

Given the pace of change in the retail sector, impactful decisions can be a competitive advantage, but many organizations are still in the dark. They’re not operating with actionable insights… trusting their gut to make decisions while keeping data in a silo. The solution? An all-inclusive data strategy that makes sense for the organization. This article …read more

Marketing leaders and data professionals often grapple with a familiar challenge: how to transform marketing data into tangible business growth. During a recent episode of The Lights on Data Show, I had the privilege of speaking with Kasper Bossen-Rasmussen, founder and CEO of Accutics, about this very topic. Together, we explored key takeaways for addressing …read more

As artificial intelligence (AI) continues to advance, the form factor of generative AI is evolving rapidly. The concept of “form factor” encompasses the systems, interfaces, and user experiences that allow us to interact with AI. It’s what bridges the gap between complex machine learning models and practical, everyday use cases. Today, the most familiar form …read more

Entering the world of freelance as a data professional offers freedom, diversity in projects, and the thrill of entrepreneurship. But how does one transition from a traditional job to a successful freelance career in the data field? Insights from an experienced freelance data consultant shed light on this journey. Table Of Contents 1Key Skills and …read more

As we approach 2024, the landscape of data governance is set to undergo transformative changes. This article delves into the anticipated advancements and shifts in data governance, highlighting the integration of AI, the importance of metadata management, the emphasis on data quality and literacy, evolving operating models, and the integration of data warehousing and lake …read more

In the multifaceted realm of data management, aspiring to master proactive data observability often mirrors the meticulous craftsmanship that goes into brewing the quintessential batch of beer. It is a symphonic endeavor that calls for a harmonious blend of varied elements, a craft demanding skill, finesse, and an adept understanding of the underlying balances at …read more

In today’s data-driven world, organizations rely on data to make critical decisions, gain insights, and drive business growth. However, as data becomes more abundant and complex, ensuring its accuracy, reliability, and timeliness becomes increasingly challenging. This is where data observability and data quality practices come into play. Data observability is a relatively new concept that focuses …read more

In the current digital era, the power of data has never been more crucial to the success of businesses. Data quality – the degree to which data is accurate, reliable, and applicable – is now a hot topic, as companies scramble to derive the most insights from their burgeoning data reserves. However, navigating the complex …read more