Have you ever stared at a massive spreadsheet or database, feeling overwhelmed and unsure where to even begin? In today’s data-driven world, making sense of raw information can feel like an uphill ...

As enterprises modernize, the question is no longer whether to use SAP or non-SAP tools, but how to make them work together ...

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 ...

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 ...

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, ...

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 ...

Traditional semantic layers often rely on middle-tier caching, introducing additional latency and cost. MetaKarta Semantic Hub takes a different approach through orchestrated materialization, ...

There’s no shortage of buzz around AI, and it’s easy to get swept up in the excitement—chatbots, automated reports, ...