1. Data Warehouse Automation Kristian Bonde & Carl-Gustav von Schimmelmann

2. Agenda Introduction Challenges Solutions Data Warehouse Automation Implementation Summery Questions

3. HISTORY 1960 Crop production of vegetables started on the family farm in Ardooie. 1977 Ardovries was founded to process and freeze the vegetables grown on the surrounding fields. Ardovries expanded and further growth was ensured by acquisition of factories throughout Europe. 2000 The company name changed to Ardo, by now an important frozen vegetable producer in Europe.

4. Ardo sales offices HISTORY

5. ARDO EXPORTS TO 56 COUNTRIES WORLDWIDE HISTORY

6. 20 sites in 8 different countries HISTORY Ardo employs 3.800 people. We grew and sold 811.000 tons frozen vegetables in 2013. With a consolidated turnover of €820 million in 2013.

7. Data Warehouse Automation Performance Management Automation

8. Challenges Increasing demand for reports. Increasing queries against our MES system. Data collection from multiple sources. Same report showing different results. Time to market. Merger with Dujardin Foods.

9. Solution Single common data model Governed data discovery Integrate data from multiple source systems Improved data quality Data history Independent security model Data Warehouse Why?

10. Development Options Traditional Data Warehouse –D–Developer skills. Combined solutions –V–Vendor specific developer skills. Data Warehouse Automation –D–Data knowledge External resources Internal skills needed Time to Market Investment Evaluation criteria

11. Data Warehouse Automation DW Challenges Henry Ford - Automated Manufacturing TimeXtender – Automates Data Warehousing Data Warehouse Automation (DWA) uses technology to gain efficiencies and improve effectiveness in data warehousing processes Not agile High costs Lack of documentation Developer lock-in Optimization Dev / Production DW Automation Warehouse Data Model Source data exploration ETL generation Test automation Scheduling Change impact analysis Managed deployment

12. Proof of Concept Prerequisites –SQL Server –Access to data source Installed TimeXtender Connected to data sources –M3 and MES Build Reporting platform –Extracted data from M3 and MES –Combined the extracted data into a simplified reporting structure –Build a report in Excel Duration – 5 hours

13. Implementation Continued with PoC environment Expanding the PoC work with additional data Converting existing reports to DWH based reports Continuous implementation of new requirements

14. TX 2014 Data Warehouse Automation Ardo’s Solution Movex/M3 Operator Improve Other Data Sources Reporting Services Mobile Excel Cube Stage Data Warehouse

15. Timeline 26/5 Initial presentation 16/6 Proof of Concept 1/10 Training 9/10 Implementation

16. Benefits Simple joining of multiple sources to one report Internal resources only – low costs Fast implementation of requirements “One truth” Flexible front-end

17. ?