Picture this: You’re a CFO presenting quarterly results to the board. A sharp-eyed member questions a major variance in your forecasting model. You’re ready, you explain that your AI system caught the anomaly early. But then comes the kicker: “How exactly did the AI reach that conclusion?” Suddenly, your confidence wavers. If your best answer is, “I’m not sure, but the algorithm is sophisticated,” you’re not alone, but you’re on thin ice.

Joe Reis, author of Fundamentals of Data Engineering, known for practical education and his YouTube content — formerly CEO/co-founder of Ternary Data — is reviewing our Keboola MCP (Model Context Protocol) Server with Claude to list Shopify his tables, run exploratory analysis, export data to BigQuery, and generate a star schema. And you can do the same in minutes! We will go through everything here from one-click setup to best propmts to use MCP with.

Every second counts in modern IT. The rise of hybrid environments – with fragmented data, complicated recovery and increasingly high costs – isn’t making things faster or easier. While managing complexity across different infrastructures, ensuring consistent application performance, and maintaining strict compliance standards have all become table stakes, many IT and security leaders still struggle with limited visibility, making risk management difficult.

Data activation maximizes the value of existing data infrastructure by reducing manual work, increasing reach, and enabling data teams to drive more strategic impact.

Picture this: As you’re analyzing sales data in Qlik or in Power BI, you spot an obvious error in a customer name and think “I wish I could just fix this right here instead of sending another email to IT.” If this sounds familiar, you’re not alone. The good news is that the business intelligence (BI) world is finally listening. Gone are the days when BI platforms were solely for consuming and analyzing historical data.

The Wisdom of Crowds Business Intelligence Market Study from Dresner Advisory Services is one of the most recognized annual benchmarks for BI and analytics. It captures how organizations are investing, what priorities they set, and which technologies are delivering the most value. The 2025 edition highlights steady growth in BI spending and shifts in user objectives, from efficiency and revenue impact to security and data quality.