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Data Quality as flexible Web services in Service-Oriented Architectures (SOA)
Services to increase the data quality should both analyze and cleanse current data stocks and prevent the input of inaccurate data and duplicates before they are stored in the database. In this respect, Service-Oriented Architectures provide enormous opportunities to increase the efficiency of the data quality services and simplify integration in the IT infrastructure.
Challenges
In this respect, individual tasks for securing the data quality such as "validation of the entered address" or "check of the telephone number" are provided as a Web Service by a central server within the framework of the defined business processes. The data quality functions can then be used in all the relevant business applications, e.g. in the ordering process of an eBusiness application or in the lead conversion/qualification in a CRM system.
This ensures a uniformly high quality of all customer data and therefore also a single view of the customer across the company, whereby complicated and expensive reviews of the data are a thing of the past, and the contribution of data quality services to the efficiency of the business processes in the company is underlined.
High data quality in diverse channels and heterogeneous IT landscapes
Service-Oriented Architecture enables the efficient protection of high data quality via a great variety of channels and also in heterogeneous IT infrastructures.In this respect, individual tasks for securing the data quality such as "validation of the entered address" or "check of the telephone number" are provided as a Web Service by a central server within the framework of the defined business processes. The data quality functions can then be used in all the relevant business applications, e.g. in the ordering process of an eBusiness application or in the lead conversion/qualification in a CRM system.
This ensures a uniformly high quality of all customer data and therefore also a single view of the customer across the company, whereby complicated and expensive reviews of the data are a thing of the past, and the contribution of data quality services to the efficiency of the business processes in the company is underlined.
Rapid analyses also in extensive databases
An important goal in improving the data quality consists in preventing incomplete or incorrect data from being stored in the database. Possible problems should be detected at data entry and then either cleaned up automatically or by the user after receipt of an advice. In this regard, huge databases with 100 million data records must also be analyzed in fractions of seconds - even with varying spelling. A central server which provides the data quality functions as Web services can work considerably more efficiently and more quickly here than conventional software installations.Maximum data quality on-premise and on-demand
In a Service-Oriented Architecture, it makes no difference whether you provide data quality services locally (”on-premise”) or as Software as a Service (”on-demand”). Your individual requirements decide. And so it could save you money to pay only for use on-demand for individual services if permanent matching against reference data is not necessary. On the other hand, local provision may be appropriate if you always have to check large quantities of data. And in the third case, a combination of the two may be the best solution. However you decide, your optimum form of provision can be simply and efficiently implemented with an SOA environment.
Solutions
Uniserv Data Quality Solutions for Service-Oriented Architectures (SOA) – service is everything, everything is service
The modular Data Quality Solutions from Uniserv can be perfectly integrated as data quality services in Service-Oriented Architectures – on-premise and on-demand. They enable you to centrally protect and improve the data quality in business applications and in all internal and external input channels. And you ensure smooth business processes on the basis of maximum data quality.
Data Quality Batch Suite for SOA: The complete product suite for the fully automatic batch check cleansing and monitoring of the data quality in Service-Oriented Architectures.
Data Quality Real-Time Services for SOA: For the immediate protection of your data quality - interactively and in real-time.
Our contribution to efficient data quality services in Service-Oriented Architectures: Quick, error-tolerant searching, automatic duplicate recognition and clustering of name and address data, data validation and enhancing or synchronization with other systems are only some of the functions of the Uniserv DQ Batch Suite and DQ Real-Time Services - our contribution to higher data quality in Service-Oriented Architectures.
Advantages
Profit from all Uniserv Data Quality Solutions for Service-Oriented Architectures including:
- High data quality in all IT systems across the enterprise through the use of standardized data quality services in all input channels
- Optimum data quality through analysis during the transfer from existing data sources and through permanent monitoring of new entries and changes (Data Quality Firewall)
- Reliable revision of the data (Data Cleansing) according to defined rules and by matching it against reference data (e.g. address, bank, geodata, product code) in batch processing or in real-time
- Simple integration of the Web services in heterogeneous IT landscapes
- More flexibility and cost efficiency through the individual provision and use of the data quality services on-premise, on-demand or in combination
White Paper
White Paper SOAThe IT branch was already talking about data quality functions as a service in Unix, Windows and Linux even before the Gartner’s analysts invented the term SOA. The implementation of service-orientated architectures brings numerous new requests on data quality services with it. At the same time their possibilities and their use keep growing.
Our white paper describes how data quality can be made available for all business processes.
white paper SOA
White Paper SOAThe IT branch was already talking about data quality functions as a service in Unix, Windows and Linux even before the Gartner’s analysts invented the term SOA. The implementation of service-orientated architectures brings numerous new requests on data quality services with it. At the same time their possibilities and their use keep growing.Our white paper describes how data quality can be made available for all business processes.
white paper SOA
