Data mediation

Standardization of data formats

Data mediation is a process that acts as an intermediary in the flow of information between disparate data sources and the systems that use those data. It is a comprehensive approach to integrating, processing and sharing data in such a way that it is consistent, up-to-date and easily accessible to all stakeholders. It involves standardising data formats and managing data quality in the process of data exchange.

It is a kind of information management strategy. It involves merging and refining data flows from different sources to ensure effective information exchange.

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Elements of mediation

Consistent format for all data

The basis of data mediation is the process of harmonisation – the transformation of heterogeneous data from different sources into a unified and coherent form. This concerns both the structure of the data and its semantics. Harmonisation allows data to be processed efficiently, without the need for human intervention at each stage of the information flow.

Another important element of data mediation is the resolving of data conflicts. In practice, this means that when information from different sources diverges, the data mediation system is able to automatically select the most reliable data or merge the information in a logical way for the final client.

Benefits

Efficient allocation of resources

Easier access to data

By unifying formats and protocols, the solution allows easier access to the information needed from different sources.

Improving data quality

The data mediation process helps eliminate errors and discrepancies in data, leading to an overall improvement in data quality.

Acceleration of decision-making processes

Fast access to reliable and up-to-date data significantly speeds up and facilitates decision-making processes in organizations.

Easier data management

Processed and integrated data are easier to manage, which is crucial in the case of large volumes of information

Data flexibility

Data mediation offers a unique and flexible approach to data management. It provides organizations with flexibility in handling different data formats, protocols, and interfaces.

Cost reduction

The data mediation process can significantly reduce costs associated with hardware, software licenses, and maintenance. Additionally, improved data management processes enable organizations to allocate resources more efficiently, further reducing costs.

Data mediation

Key functions and features of data mediation

Data received from different sources often differs in format. The process involves transforming this data into a common format that is understood and usable by the receiving system or application.
Involves the mapping of data fields from the source to their corresponding fields in the target system. As different systems may have different naming conventions or structures to represent the same type of data, this mapping is crucial to ensure data integrity and relevance.
The solution may involve converting data communication protocols so that systems using different protocols can interoperate seamlessly.
In some cases, data mediation processes enrich incoming data by adding additional context or information before passing it on to its destination. This can help increase the value and relevance of the data for analysis or business processes.
Data mediation may also include filtering out irrelevant data and validating incoming data to ensure it meets specific quality or format requirements.

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