This is the Electee Review. Today, adopting analytics technology and improving operating profit are not the same achievement. And for startups, a metric that never changes a decision is just decoration. McKinsey's 2025 global survey found that while 71% of respondents reported regular generative AI use, more than 80% saw no tangible enterprise-level EBIT impact. The Federal Reserve Bank of Philadelphia's third district analysis shows a similar disconnect. 71% of AI using firms reported higher productivity, yet over 70% saw no change in labor costs, external spending, production quality, or sales. Even basic data analysis lags behind collection. In the UK Business Data Survey for 2025 to 2026, 86% of businesses handled digitized data, while only 25% analyzed it for new insights. Only 11% of small businesses said data improved internal processes most or all of the time. Startups drown in records from Stripe, bank files, and CRMs, yet still guess on Monday morning because teams lack shared definitions. Business intelligence is not a department or an impressive dashboard built on inconsistent inputs. It is a decision loop. Reconcile the records, measure a specific choice, assign an owner, and verify the outcome. Readiness is a gate for each decision, not a company-wide verdict. Monitoring cash position and runway requires four to eight weeks of reconciled balances and invoices, which a spreadsheet can handle for a single entity. Stockout alerts need eight to twelve weeks of sales and on-hand stock. Demand forecasting, by contrast, requires 12 to 24 months of history and outgrows spreadsheets. Before buying data warehouses, early teams must standardize customer IDs, currencies, and definitions of active and churned accounts. Every function needs one primary metric tied to an action: net revenue retention for pricing, logo churn, and cohort retention for onboarding, customer acquisition cost payback and gross profit for channel budgets, weeks of cover for reorders, and cash runway for spend freezes. Even accurate inventory forecasts fail if teams ignore holding costs, lead times, and lost sales costs. A 90 day rollout starts by reconciling one weekly operating page in 14 days, logging actions through day 45, and adding risk governance by day 90, suspending automation whenever error thresholds break. That's the review.