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Data Warehouse
A Data Warehouse is a data store supporting decision support as well as data integration.
A Data Warehouse is used to collect, structure, clean and store data from company business systems in order to support one or more Business Intelligence solutions.
Implementation of a Data Warehouse is usually a complicated and lengthy task, which includes many different elements such as Data Staging Area, Enterprise Data Warehouse, Operational Data Store and Data Marts.
Platons competences in Data Warehousing are:
You can get more information in Platons Data Warehouse brochure
Implementation of a Data Warehouse is usually a complicated and lengthy task, which includes many different elements such as Data Staging Area, Enterprise Data Warehouse, Operational Data Store and Data Marts.
Platons competences in Data Warehousing are:
- Advisory services regarding set-up of a Data Warehouse Program
- Review of existing Data Warehouse
- Specifications for requirements to – and evaluation of – tools
- Design and implementation of Data Warehouse
You can get more information in Platons Data Warehouse brochure
Arla
"Arla Foods being the Europe’s largest Dairy producer and due to acquisitions and mergers had ended up with over 30 systems in 8 divisions."
Arla Foods
Arla Foods
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Data Warehouse
The term Data Warehouse covers the management of data as opposed to the term Business Intelligence that focus on the usage of data.
Read more in Platon's Data Warehouse brochure
Read more in Platon's Data Warehouse brochure
Melbourne
Sydney
Level 40, 140 Williams St
Level 56, MLC Centre, 19-29 Martin Place
Melbourne, VIC 3000
Sydney, NSW 2000
T: +61 3 9607 8223
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