Data-Driven Decisions Win
Organizations leveraging analytics outperform competitors. Data reveals patterns intuition misses.
Analytics Maturity
Descriptive: What happened? Diagnostic: Why did it happen? Predictive: What will happen? Prescriptive: What should we do?
Data Sources
Internal systems: CRM, ERP, web analytics. External data: market research, social media, benchmarks. Structured and unstructured formats.
Analytics Tools
Tableau for visualization. Power BI integrates with Microsoft. Looker provides modern interface. Python and R for advanced analysis.
Key Metrics
North Star metric guides focus. Input metrics are controllable. Output metrics show results. Leading indicators predict outcomes.
Dashboards
Executive dashboards show KPIs. Operational dashboards for daily management. Self-service enables exploration. Mobile access for anywhere viewing.
Data Culture
Leadership promotes data use. Training builds skills. Accessibility removes barriers. Stories communicate insights.
Common Pitfalls
Vanity metrics feel good but mislead. Correlation confused with causation. Analysis paralysis prevents action. Siloed data limits insights.
Getting Started
Identify key business questions. Inventory available data. Build initial dashboards. Iterate based on feedback.
Privacy Considerations
Anonymize personal data in analysis. Aggregate to prevent identification. Access controls on sensitive insights. Compliance with regulations.
Need help with this topic? Contact me at contactme@itsdavidg.co