Overview:  Discover the top AI-powered data analysis tools that are helping analysts automate reporting, generate insights ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Making quality business decisions is no longer about trusting a hunch or leaning only on past experience. The real challenge for companies today is learning how to make sense of the overwhelming ...

In 2014, Jason Frantz and Rob Woollen co-founded Sigma Computing, a platform that overlays data stored in data platforms such as Snowflake and Google BigQuery with a spreadsheet-like interface for ...

Management accountants stand at a crossroads. The landscape of business is rapidly changing, driven by the explosion of data and the Fourth Industrial Revolution. Business intelligence and analytics ...

Fortune Business Insights valued the global business intelligence market at $29.4 billion in 2023 and expects it to grow from $32 billion in 2024 to $63.8 billion by 2032, growing at a compound annual ...

Excel has evolved into a robust platform for data analysis and reporting, thanks to its advanced business intelligence tools: Power Query, Power Pivot, Data Model, and DAX. These powerful features can ...

The era of traditional business intelligence (BI)—with its static dashboards and quarterly reports—is coming to an end. As AI evolves from simple automation to sophisticated autonomous agents, ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

For years, business intelligence (BI) was synonymous with the dashboard – a static, rear-facing mirror reflecting what had already happened. It was the domain of dedicated analysts, tasked with ...

Debate and discussion around data management, analytics, BI and information governance. Businesses often struggle with data overload. They have mountains of information stored in their ERP systems, ...