With the development of databases and digital storage of information, the possibility of establishing connections between these data emerged for the first time. The flow of data is increasing. More and more are being collected. In order to be able to evaluate this mass of information selectively, they must be put in relation to each other.
This is where the data stores develop their great strength. Without data warehouses, it would not be possible to carry out an overall analysis; evaluations would be limited to the individual databases.
A data warehouse gathers information from a wide variety of sources and establishes logical connections between all this data. This does not necessarily have to come from its source. It can also exist as linked data connections in the data repository.
The application areas of data storages are diverse. Regardless of the area in which they are used, they always find previously hidden connections (data mining). Reports, statistics and key figure determination are available quickly and can be adapted flexibly. Nothing stands in the way of a transparent and comprehensive presentation of complex relationships.
In short: The Data Repository presents all interrelated information transparently and clearly.
Examples of Data Warehouses – Who uses Data Warehouses and where are they used?
The production of consumer goods
Only data storages allow the image of companies and products to be measured with a fineness and depth that was simply not possible before. Social media sentiment analysis is used to create representative market images at low cost. In this way it is possible to determine which product trends are emerging or sustainable. Companies can react quickly and flexibly.
Analysis of blood samples and application in the field of medicine
The data stores allow for personalized medicine. For example, gene sequencing is used to apply algorithms to genetic material in blood samples. This allows the creation of a medicine based on the individual and genetic virus strain of the person in question.
In addition, the risk of a heart attack or genetic defects and the resulting diseases can be more easily determined. The Data base creates links between the patient file, the radiology images and the laboratory results.
Energy providers are increasingly relying on data storage solutions. Consumption registration and billing deliver the information to the Warehouse. In this way, specific analyses can be created according to categorized target groups. It is also possible to evaluate consumption data in different regions, by age group, gender or household type.
Airlines also benefit from data repositories by linking them. This makes it much easier to estimate downtime and waiting times. Delays are minimized. Unprofitable routes can be easily found through analysis and can be cancelled. Kerosene consumption based on route, aircraft type and payload can be optimized using the information provided by the data warehouse.