Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those ...

In the meantime, the big question for data leaders is where to implement this logic. The market has split into two ...

The demand for data continues to grow from inside and outside every organization and from machines now, too. However, having a surfeit of data is not enough. Organizations must solve the complex ...

Amid all the buzz around advanced AI-powered data analytics, one crucial component often goes unnoticed: the metrics layer. This is where metrics creation takes place, the process that defines and ...

Have you ever stared at a data report and felt completely overwhelmed, unsure of where to even begin? You’re not alone. In today’s data-driven world, we’re constantly bombarded with numbers, charts, ...

Data can sometimes feel overwhelming, can’t it? Whether you’re staring at endless rows in a spreadsheet or trying to make sense of complex trends, it’s easy to feel lost in the noise. But what if ...

Data is one of organizations' most potent assets in an era of growing competition and artificial intelligence (AI) mandates. However, effectively managing and using it requires balancing strict ...