High customer satisfaction scores feel like a major win for product and support teams. However, when satisfaction metrics rely solely on voluntary surveys, they frequently fall victim to Survivorship Bias. Satisfied customers are far more likely to remain active, open emails, and fill out feedback forms. Meanwhile, frustrated or confused users simply stop using the…
When key performance indicators drop, organizations face a critical choice: fix the underlying product issues or change how the metric is calculated. Far too often, companies choose the path of least resistance—redefining metrics to make performance look good on paper rather than solving actual business problems. This practice of “creative analytics” creates a dangerous illusion…
Are You Automating Garbage In, Garbage Out? | Comic by Ankashram Organizations around the world are rushing to deploy Large Language Models and AI agents to transform their strategic decision-making. The pitch is alluring: automated forecasts, instant insights, and sleek reports generated at the click of a button. However, advanced AI does not magically fix…
Are You Overbuilding Your Business Intelligence? | Comic by Ankashram Organizations spend thousands of hours and millions of dollars upgrading their business intelligence infrastructure. They build automated data pipelines, set up real-time stream processing, and design interactive dashboards with predictive forecasting models. Then comes the first executive meeting. The gap between technical capability and user…
Most organizations believe becoming “data-driven” means collecting more charts and graphs to support leadership’s vision. In reality, the bias often runs in reverse. The most dangerous trap in business intelligence isn’t a lack of data—it’s using data solely to validate decisions that have already been made. When metrics are cherry-picked to justify gut feelings, you…
Think with data is not just about building dashboards or looking at numbers. It’s about asking better questions, challenging assumptions, and using data to make better decisions. Most organisations think their smartest data people are the ones building the dashboards. Maybe. Can be. Should be. But the real game usually begins after the dashboard is…
The ultimate goal of analytics is to inspire action, yet somewhere along the way many people became convinced that the mission was to generate as many charts as possible before the monthly/quarterly review. Today, you can throw a spreadsheet into an AI tool and get back a dashboard that looks like it was blessed by…