1. Best practice case Finland / Estonia 22th. of September 2011 Maia Ennok

2. Data Warehouse models ESSNet on micro data linking and data warehousing in the production of business statistics 29.02.2016 Statistics EstoniaStatistics Finland Process Model aim to Data Model Many-to-many correspondences between input data and outputs Active Business register integrated in the DWH Metadata is extremely important

3. Data Warehouse Architecture (metadata driven) in Statistics Estonia 29.02.2016 ESSNet on micro data linking and data warehousing in the production of business statistics CollectProcessAnalyseDisseminateDesign Integrated statistical registers Raw data Data Warehouse Statistics database Collection systems based raw databases Statistical activities based processing databases Common integrated data warehouse (microdata) Common dissemina- tion data- base (PC-Axis) Common metadata repository Data staging area

4. Statistical process Data Collection Editing and AnalyzingPublication Data Source Layer Data Extraction Layer Data Storage Layer ETL Layer Staging Area Data Logic Layer Data Presentation Layer Metadata Layer Data Warehouse Architecture in Statistics Finland 4 ESSNet on micro data linking and data warehousing in the production of business statistics 29.02.2016

5. Conclusions Need to border Data Warehouse definition (Statistical Data Warehouse) Need to examine metadata usage in Data Warehouse Need to explore Data Warehouse needs from Business Register and vice versa 29.02.2016 ESSNet on micro data linking and data warehousing in the production of business statistics

6. Esitlus või esitleja nimi 29.02.2016