The modern data stack combines data lakes, ETL/ELT pipelines, and business intelligence to turn operational data into real-time strategic insights.
1. Modern Data Stack Components
Ingestion from ERP, CRM, web analytics, and IoT into data lakes (S3, ADLS, MinIO). Transformation with dbt or Spark, then warehouses (Snowflake, BigQuery, Redshift) for structured analytics.
2. ETL vs ELT and Data Quality
- ELT is popular in cloud: load first, transform in warehouse.
- Data catalog and lineage for governance (GDPR, PDP).
- Automated data quality checks: nulls, duplicates, outliers.
- Semantic layer for consistent BI metrics.
3. BI Dashboards That Drive Business Impact
Focus on executive KPIs: revenue, churn, inventory turnover, and operational SLAs. Self-service BI for business teams with role-based access. Data consultants help architecture, source integration, and user training.
Turn data into competitive advantage. PT. Sumber Solusi Optimal provides business intelligence solutions, data integration, and enterprise analytics consulting.
