AI tools promise to help tech teams do more with less—but often deliver mixed results. Many teams face rising tension, uneven output, and missed opportunities as leadership rushes to automate without fixing data, process, or culture. Efficiency isn’t fewer people — it’s fewer bottlenecks. Why leadership, architecture, and trust matter more than ever in the age of AI.
Business Intelligence succeeds not by tools alone but by how people think, plan, and act on data. True BI maturity means aligning expertise, structure, and purpose to deliver measurable value.
Cortana Analytics has just been announced with much fanfare. No need for technical know-how. No need to understand the data model. Just ask, and it shall be revealed. It’s seductive. But it’s also dangerous.
Riding the big data wave? Beware—your tsunami of metrics might be polluted by garbage inputs. Even the slickest analytics tools can’t rescue insights tainted by bad, inconsistent or misunderstood data. Unchecked data quality issues bury value, skew decisions and leave you chasing phantom patterns.
