Data Management
Build a solid foundation for your data
Every home needs a solid foundation. That includes your data management. Well thought out data management provides this foundation.
Goal of data management
Due to the increase in data and data sources, the importance of good data management only increased further. The better you are able to unlock and use data in a good way, the greater the benefits you will achieve with it. Results can translate into lower costs, higher profits and competitive advantages. It is therefore important to deepen in the application and possibilities of data management.
Data management concerns managing, maintaining, editing and securing data. Moreover, the purpose of data management to ensure that the data present is complete, reliable and available on time for persons or applications that use that data.
Importance of data management
Up-to-date and reliable information helps you make the right decisions. To form a picture of the importance of possibly improving data management within your organization, you can ask yourself a number of the following questions:
- How sure are you of the timeliness and reliability of data on which you currently base your business decisions?
- In case you are not so sure about this: what are the consequences if you base your conclusions on incorrect or outdated data?
- Do you comply with the laws and regulations regarding working with privacy-sensitive data?
- How is the security of your data guaranteed?
Increase of data
Can you easily extract information from a combination of data from operational systems? Examples of this are combining sales data with market data or combining production data with data from your HR system. Do you expect:
- An increase or a decrease in the amount of available data in the coming years.
- An increase or decrease in the demand for information.
- An increase or decrease in the importance of information.
Video: Why RRS for the data management solution of TimeXtender chooses
RRS is the market leader in the Netherlands in the field of sewer cleaning and unclogging. They serve the whole of the Netherlands from 12 branches. They manage all the data they access via TimeXtender. In this short video (2.41 min) you can hear and see why RRS has opted for a data management Victa's solution.
Data warehouse
A data warehouse is a data management system aimed at insight and overview of your data from underlying source systems. A data warehouse often supports analyses in the field of Business Intelligence (BI). Data warehouses often contain large amounts of (historical) data where data from different sources can be combined and made available in the form of logically related sets of processed data (data marts).
Typical functionalities that are completed by a data warehouse are the central management of definitions used with regard to data (Business Rules), the storage of historical data where the underlying systems lack the possibility for that data and the unburdening of operational systems when it comes to further data analysis. In summary, a data warehouse comprises a structured amount of data for specific use.
data lake
A data lake is a facility for storing large amounts of unstructured data. The big difference with a data warehouse is that in a data lake all data is stored unstructured. In a data lake text files, databases, e-mails and many more types of data can be stored. The advantages associated with this unstructured form of storage lie in the fact that storing data in this way becomes very easy; no extensive processing is required before data can be stored. The other side of this coin is that if you want to use the data for other applications, you then have to apply logic afterwards to interpret the data correctly.
Lay your foundation now!
Are you curious about data management and what it can do for your organization? Contact us and we will be happy to help you with any questions!
