Datawarehouse is een begrip binnen de industriële digitalisering en data, analyse & business intelligence.
Definitie
Datawarehouse is een gecentraliseerde repository die gestructureerde data uit verschillende bronnen integreert en organiseert voor rapportage en analyse. Het bevat historische data die is getransformeerd en geoptimaliseerd voor query performance en business intelligence.
Kenmerken
- Subject-oriented: Organized around business subjects rather than operational processes
- Integrated: Consistent data from multiple heterogeneous sources
- Time-variant: Historical data storage spanning multiple time periods
- Non-volatile: Stable data repository that doesn’t change frequently
- Normalized structure: Optimized database schemas voor analytical queries
- High performance: Indexing en partitioning voor fast query execution
- Metadata management: Documentation van data lineage en business definitions
- Data quality: Cleansed en validated data voor reliable analytics
- Scalability: Ability to handle growing data volumes en user loads
Toepassing
Manufacturing analytics:
- Production metrics: Historical production data analysis voor trend identification
- Quality tracking: Defect rates en quality measures across time periods
- Equipment performance: Machine utilization en downtime analysis
- Cost analysis: Manufacturing cost trends en efficiency measurements
Supply chain intelligence:
- Inventory analysis: Stock level trends en demand forecasting
- Supplier performance: Vendor delivery times en quality metrics
- Demand planning: Historical sales data voor production scheduling
- Logistics optimization: Transportation costs en delivery performance
Financial reporting:
- Management accounting: Cost center performance en budget variance analysis
- Revenue analysis: Sales trends by product, region, customer segments
- Profitability analysis: Product line en customer profitability insights
- Regulatory reporting: Financial data voor compliance requirements
Customer analytics:
- Sales performance: Customer purchasing patterns en lifetime value
- Market analysis: Regional sales trends en market share analysis
- Customer segmentation: Behavioral analysis voor targeted marketing
- Service analytics: Support metrics en customer satisfaction trends
Operational intelligence:
- KPI dashboards: Key performance indicators tracking across departments
- Resource utilization: Workforce en asset utilization analysis
- Process analytics: Workflow efficiency en bottleneck identification
- Compliance monitoring: Regulatory requirement tracking en reporting
Gerelateerde begrippen
Verwante termen:
- Business Intelligence - Analytics platform consuming data warehouse content
- Data lake - Complementary storage voor unstructured data
- ETL - Data integration processes feeding data warehouses
- Data analysis - Analytics processes using data warehouse data
Verwante concepten:
- MDM - Master data consistency supporting warehouse quality
- Data governance - Governance framework including warehouse management
- OLAP - Analytical processing systems using warehouse data
- Data marts - Department-specific data warehouse subsets
Bronnen
- Microsoft SQL Server Analysis Services - Enterprise data warehouse platform
- Oracle Autonomous Data Warehouse - Cloud-native data warehouse service
- Amazon Redshift - Cloud data warehouse voor analytics workloads
- Snowflake - Cloud data platform optimized voor data warehousing
- Google BigQuery - Serverless data warehouse voor large-scale analytics
- SAP BW/4HANA - Enterprise data warehouse integrated with SAP systems
- Teradata Vantage - Analytics data platform voor enterprise data warehousing
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