**Enhance your data warehouse with a logical data warehouse, for unbridled agility**

Business depends on actionable intelligence, and for years this has been furnished by business intelligence tools, which pull the data from a data warehouse. Business stakeholders have come to expect that all of the relevant data is copied to the data warehouse, even if they sometimes have to wait a day for the latest data to arrive.

The problem is, some of the newer sources of data, such as data from social media platforms, data from in-process transactions, or raw data about the movement of machines, is just not formatted in such a way that it can be accommodated by a traditional data warehouse. It could be stored there, it could be reformatted, but this is prohibitively costly.

The solution to this quandary is the logical data warehouse.

**Download this solution brief to more about the following:**

- Why business analysts continue to experience limitations in their ability to access business intelligence despite technological advances.
- What is a logical data warehouse?
- How does data virtualization work to enable companies to create a logical data warehouse?
- What are the six most common logical data warehouse use cases?
- How do logical data warehouses compare with traditional warehouses, in terms of processing queries?



 

 

 

  

 ![Accelerate Your Business with a Logical Data Warehouse](/sites/default/files/asset-thumbnail-details-pages/thumbnail-sb-accelerate-your-business-with-a-logical-data-warehouse-20190611.png) [Download](/system/files/document-attachments/sb-ldw-01_0.pdf) 

 

 

### Role

 ArchitectBusiness User 



### Solutions

- IT Modernization



### Industry

- [Financial Services](</en/solutions/by-industry/Financial Services>)
- [Technology](/en/solutions/by-industry/Technology)




 

 

 



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