Collecting Everything, Using Nothing Storage is cheap, which makes it remarkably easy for organizations to turn into data hoarders. Modern teams build elaborate pipelines to log every click, scroll, and transaction, mistaking data accumulation for business intelligence. Having terabytes of customer logs offers zero strategic advantage unless those data points actively inform decisions. The value…
While the cities of India that host the most data centric jobs are still Bengaluru, Pune, Hyderabad, Bhopal is a surprising entrant in the list. Organizations in the banking, health, government and IT services sector are witnessing a demand for analysts skilled at interpreting spreadsheet data. Students studying in the city or working professionals looking…
A restaurant owner once decided to cut her Tuesday dinner hours entirely, convinced the slow foot traffic meant the day simply wasn’t worth staffing a full kitchen for. She made that call based on what the dining room felt like walking through it — quiet, a handful of tables, nothing like the Friday rush. When…
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…
A restaurant owner once decided to cut her Tuesday dinner hours entirely, convinced the slow foot traffic meant the day simply wasn’t worth staffing a full kitchen for. She made that call based on what the dining room felt like walking through it — quiet, a handful of tables, nothing like the Friday rush. When…
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…
Learning to learn data analytics while working a full-time job feels slower than a bootcamp — but it comes with real advantages a full-time program can’t offer Sneha managed inventory for a mid-sized retail chain, and for three years she’d built the same monthly stock report the same manual way — pulling numbers from four…
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…