VolkerWessels Bouw & Vastgoedontwikkeling (BVGO) is active in residential and non-residential construction, industrial construction and real estate development. This also includes activities in supply, consultancy and building services engineering. BVGO's strength lies partly in the combination of a regional focus and the financial stability of the group. VolkerWessels (BVGO) is a tightly collaborating group of around 40 medium-sized companies.
Modern Data Management Platform
VolkerWessels BVGO previously used in-house developed ETLs to load data from Microsoft NAV (Navision 4PS Construct) into its data warehouse. This meant they faced both long development times and long resolution times when errors occurred, and it was difficult to guarantee data quality, since everything was programmed into the ETL. It was also time-consuming to connect new sources and new NAV versions to the data warehouse. These were the driving factors behind the search for a new data warehouse solution. That search ended successfully when E-mergo presented the innovative data warehouse solution TimeXtender.
The Result
Automation
Traditional data warehouses are not automated and must be maintained with manual SSIS scripts. This is a costly, time-consuming and error-prone process, especially for larger companies with many data sources. By choosing TimeXtender, BVGO not only saves a lot of time now, but also in the future, by automating manual and repetitive processes, while also seeing the quality of the data warehouse improve.
Support
Within a few days, multiple versions of NAV 4PS Construct were connected using the innovative data warehouse software. Being able to handle the different NAV versions has saved a lot of time. By modeling instead of programming, there is a better overview of what happens in the processes. Changes resulting from the implementation of an additional NAV version are now even automatically synchronized.
Time & quality
TimeXtender automatically writes scripts to load all data into the data warehouse. This happens in a very smart way, where script execution is continuously optimized using Machine Learning. In addition, everything is automatically documented, which improves documentation quality and saves a lot of time that previously had to be done manually.
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