Data Management

Data Connectivity

Data Management

Data management

Every house needs a solid foundation. That goes for you too data management. Well thought out data management provides this foundation. The importance of good data management has only increased recently. This increase is partly caused by the fact that more and more data is becoming available and that it is increasingly important for you to make data available in the form of relevant information to the right people at the right place and at the right time. The better you are able to use data in a good way, the greater the benefits you will gain from it. Results can translate into lower costs, higher profits and competitive advantages. So important to you deepen in the application and possibilities of data management.

Goal 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.

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.

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In case you are not so sure about this: what are the consequences if you base your conclusions on incorrect or outdated data?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 include 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.

"Wonder which one data management solution best suits your organization?

Do the data management check

Data warehouse

A data warehouse is a data management system aimed at providing insight into and overview of your data from underlying source systems. A data warehouse often provides support for analyzes in the field of Business Intelligence (BI). Data warehouses often contain large amounts of (historical) data, whereby 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. A data lake can store text files, databases, emails and many more types of data. The advantages associated with this unstructured form of storage lie in the fact that storing data in this way becomes particularly simple; no extensive editing is required before data can be saved. The other side of this coin is that if you want to use the data for other applications, you have to apply logic afterwards to interpret the data correctly.

Our best in class products

TimeXtender

Snowflake

Microsoft Azure

Qlik Replicate

Qlik Compose

Interested?

We are happy to help you with questions and information about Data Management.

I would like to help you

Are you more in need of a personal conversation about it Data Management? Please do not hesitate to contact me.

Sascha Olde Klieverik
Sales consultant
074 – 2915208
sk@victa.nl

Please contact Sascha Olde Klieverik