Findings from 110+ data professionals on tool sprawl and stack consolidation Introduction Each month, we run a brief survey through our newsletter and social channels to capture what’s top of...

If you run an Ecommerce business, you have lots of data that's slipping through the cracks if you don't have a business intelligence tool.

Every Monday morning, e-commerce analysts face the same frustrating ritual: export CSVs from Shopify, merge them in spreadsheets, clean the data, and pray nothing breaks before the weekly revenue meeting....

Your executive dashboard shows yesterday's data while your competitors make decisions with information that's minutes old. This gap isn't just an inconvenience—it's a competitive disadvantage costing businesses millions in missed...

Your team spends 15-20 hours weekly exporting data from CRMs, cleaning spreadsheets, and manually uploading information to dashboards. This repetitive cycle drains productivity, introduces errors, and delays critical business decisions....

Key Takeaways Proven ROI: Organizations implementing modern AI-ETL platforms report substantial efficiency gains, with documented enterprise case studies showing substantial engineering time savings Real-Time Requirements: Modern BI demands sub-minute data...

Key Takeaways Market Momentum: The ETL market is projected to grow from $8.85B to $18.60B by 2030, driven by AI-powered automation and low-code adoption across enterprises Real-Time Imperative: Companies using...

Mid-market businesses face a unique challenge: they need enterprise-grade data integration capabilities but lack the dedicated data engineering teams and six-figure budgets that large enterprises deploy. Sales teams work with...

Data preparation consumes an overwhelming share of your team's time. While analysts and engineers should focus on generating insights and building data products, they're instead trapped in manual workflows—cleaning spreadsheets,...