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Data & analytics
CASE WHEN in SQL: a practical guide to data analysis
Master conditional logic with our guide to SQL cases. Learn syntax, real-world examples, and how to turn data into business insights.Data & analyticsKey Performance Indicators: 10 Practical Examples for Growing Your Business
Discover examples of key performance indicators and how to use them: 10 practical metrics to improve sales, marketing, and finance. Optimize your decisions with ELECTE.Data & analyticsHow to make data-driven decisions: a guide for your SME
Stop guessing. Discover how to make strategic decisions using data to drive growth in your SME with our practical guide.Data & analyticsGuide to Financial Statement Analysis Ratios: Turn Numbers into Decisions for Your SME
Discover financial statement analysis ratios and how to interpret them to guide the growth of your SME.Data & analyticsIntegrations in B2B Analysis: How to Optimize Business Data
Your sales data is in Salesforce, campaigns in Google Ads, accounting in Stripe-and no one talks to anyone. Integration changes everything: 7,000+ apps that can be connected without writing code, leads that sync automatically, executive reports that compile themselves. Zapier democratizes what previously required dedicated technical teams. As a Zapier Solution Partner, we help SMEs build data pipelines that turn fragmentation into competitive advantage.Data & analyticsBeyond the algorithm: How artificial intelligence models are trained and refined
"Data is the key. The holy grail of generative AI."-Hilary Packer, CTO of American Express. Data wrangling accounts for 80% of effort in AI projects. DeepSeek has changed the rules: inference cost 1/30 compared to OpenAI. Dario Amodei: costs go down 4x per year. "I expect cost to go to zero"-CDO of Intuit. The distillation + RAG combination is where the magic is for most companies. The future? Masses of specific, cost-effective models rooted in business data.Data & analyticsComplete guide to business intelligence software for SMEs
60% of Italian SMEs admit to critical gaps in data collection, and 29% don’t even have a dedicated staff member—while the Italian BI market is set to explode from $36.79 billion to $69.45 billion by 2034 (CAGR 8.56%). The problem isn’t the technology but the approach: SMEs are drowning in data scattered across CRMs, ERPs, and Excel spreadsheets without turning it into decisions. This applies as much to those starting from scratch as to those looking to optimize. Key selection criteria: drag-and-drop usability without months of training, scalability that grows with you, native integration with existing systems, total TCO (implementation + training + maintenance) vs. just the license price. 4-phase roadmap—measurable SMART goals (reduce churn by 15% in 6 months), mapping of clean data sources (garbage in = garbage out), team training for a data-driven culture, pilot project with continuous feedback loop. AI changes everything: from descriptive BI (what happened) to augmented analytics that uncovers hidden patterns, predictive analytics that estimates future demand, and prescriptive analytics that suggests concrete actions. ELECTE this power for SMEs.Data & analyticsHow to Take Your Company to the Next Level: A Guide to Data Visualization
The brain processes visual information 60,000 times faster than text - is your company exploiting this advantage? Companies without effective visualization make decisions on 2-5 day outdated data. Typical ROI: 300-500% in 12-18 months, average payback 6-9 months. 6-step implementation: discovery, KPI definition, dashboard design, data integration, training, continuous optimization. Golden rule: maximum 5-7 items per dashboard, each KPI must drive a concrete action.Page 10 of 11