10 articles tagged with "Data Analytics"
Don't waste money on AI your business isn't ready for. Answer these 12 critical questions to identify foundational gaps before investing in AI tools and implementation.
Understanding AWS cost structure for business owners without technical backgrounds. Data egress fees, idle resources, and why cloud costs spiral without constant vigilance.
From Excel hell to unified analytics: a 300-person company's 14-month journey implementing a modern data warehouse. Real costs, migration challenges, and $520K annual value from actually understanding their data.
Customer history in one place, orders in another, support tickets somewhere else, marketing data in yet another tool. Learn how this fragments your business understanding and what proper data architecture actually means for a 50-person company.
Is it in Salesforce? Your billing system? The custom app? All three? Learn about the concept of system of record for business owners who just want their data accessible and correct, with practical consolidation approaches.
Excel works great until you hire more people and different versions start floating around. Learn when to move to actual databases, what that means for non-technical owners, and options that don\t require hiring a DBA.'
Someone copies customer data from your order system into QuickBooks daily. Someone else updates Salesforce from spreadsheets. Calculate what this actually costs in time, errors, and missed opportunitiesthen see the right-sized solution.
Follow a 30-person manufacturing company through their 18-month migration from Access to a proper web-based system. What worked, what didn\t, how they kept business running, and total real costs including hidden ones.'
It''s not always the server. Walk through the real performance killers in business systems: bad database queries, the N+1 problem, oversized images, chatty integrations, and inefficient workflowsexplained in business terms with real impact.
A/B testing content for AI search requires different approaches than traditional SEO. Learn how to test effectively, what to test, timeframes that reveal insights, and how to avoid false conclusions from small sample sizes.