Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Data analytics is defined as the capability ...

A resilient data strategy must treat unstructured content not as archival noise but as a primary input into the enterprise ...

Enterprises are moving beyond AI hype toward measurable value. Here's how semantics, vertical AI and outcome-driven agents ...

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...

Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform consolidation, and board-level governance. Here's what you need to know.

Accounting combines three things many people enjoy: problem-solving, money, and working with people. And thanks to the use of data analytics in accounting, these parts of the job are more exciting, ...

The power of any data dashboard isn't in the dashboard itself--it's in the conversations that happen around it. Data literacy ...

Semantic layers break silos and establishes a single source of truth, while greatly simplifying interaction with complex data ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

By Abubakari YAKUBU (PhD)Although most modern organisations possess extensive data, a subtler challenge persists: a lack of ...