Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.

Analysts skilled in tools such as Power BI combined with Copilot, or SQL and Python paired with AI assistance, are commanding premiums as high as 35 to 45 per cent over peers who know only the base ...

I ditched my terminal for Claude's built-in code executor, and I'm not going back.

DuckDB is an amazing tool with deep integration with Python and R, but sometimes you just need data in Excel. xlDuckDb allows DuckDB SQL to be run within Excel. Query results are returned as regular ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

In addition to rolling out patches to address two zero-days affecting SQL Server and .NET, Microsoft introduced Common Log File System hardening with signature verification. The team at Readiness each ...

Excel to SQLite simplifies the process of importing Excel data into SQLite databases. It provides automatic schema detection, data transformations, validation rules, and includes an intelligent ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

It’s easy to get caught up in technology wars—Python versus Java versus NextBigLanguage—but the hardest part of AI isn’t the tools, it’s the people. Domain knowledge, skills, and adoption matter more ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...