What is a Data Mesh — and How Not to Mesh it Up
A beginner’s guide to implementing the latest industry trend: a data mesh. Ask anyone in the data industry what’s hot these days and chances are
A beginner’s guide to implementing the latest industry trend: a data mesh. Ask anyone in the data industry what’s hot these days and chances are
Finding the right data science tools is paramount if your team is to discover business insight. Here are five things to look for when you
A deeper look into just how automation adds value at each of the phases of the data lifecycle and how automation at this level impacts
Why It Matters The gap is widening between data leaders and data laggards. From external data to customer experience analytics, this is what leaders are
Creating a successful machine learning model is extremely difficult and expensive. Providing the model as a service to other businesses may recoup part of the
Continuous intelligence (CI) is a strategic capability that integrates key technology elements to deliver real-time guidance on operational problems. If your organization has moved to
Understanding how to differentiate between data, analytics, and insights and how they work. Data. Analytics. Insights. These three are the most important food for the
I’m overjoyed to announce the release of my latest book “The Economics of Data, Analytics, and Digital Transformation.” The book takes many of the concepts
How the quality of business decision making enables companies to adapt to the changing environment? The arrival of digitization across diverse industries has put immense
Data pipelines can break for a million different reasons, but how can we ensure that data quality issues are identified and addressed in real time—at