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High data quality across the company through efficient error-tolerant searching and duplicate recognition for all data objects in real-time
High-performance tools, by means of which incorrect data and duplicates can be efficiently tracked down, are required to obtain consistent, correct and duplicate-free data across the company, because duplicate data stored in a variant form increases the IT costs and provides inaccurate information which can to lead incorrect business decisions. You decrease the productivity of the employees and delay operative processes if data has to be searched for and corrected at great effort.
On the other hand, a uniformly high quality of all company data is the optimum basis for lean and flexible business processes in all parts of the company, reliable forecasts and reports as a basis for corporate planning and controlling as well as adherence to compliance regulations.
A real-time solution which immediately supplies you with precise and reliable results is eminently suitable for searching for individual data records.
dataRetrieval is preferentially used in all situations, in which business data has to be identified and searched for via unformatted fields (text data), possibly in combination with formatted fields. The special analysis and search capabilities play a particular role in the case of text fields, such as article or product descriptions, books or music titles, authors or performers, job site or project descriptions. In this respect, dataRetrieval always offers you the possibility of greatly restricting the search area by means of a variety of search attributes combined with error tolerance (fuzzy logic, phonetics, synonyms, …), so that finding the requisite data can be enormously simplified and accelerated and duplicates automatically found and prevented even with typing, hearing or reading errors.
With dataRetrieval, Uniserv offers you a high-performance tool for real-time searching and validation of individual business data records in all business applications and increasing the data quality across the company.
Unlike mailRetrieval, which processes customer data by means of a standardized knowledge base for names and addresses, dataRetrieval uses dictionaries, similarity, decomposition and context rules as well as other analysis parameters which are defined sector- and project-specifically. A special search index for the error-tolerant search is initially loaded and then periodically updated synchronously with the respective database.
Amongst other things, dataRetrieval supports you in the following:
With dataRetrieval, you increase the data quality in all business applications:
The combination of real-time searching with dataRetrieval and comprehensive data matching in batch processing with dataMatch enables you to increase the data quality of all business data across the whole company.
dataRetrieval is preferentially used in all situations, in which business data has to be identified and searched for via unformatted fields (text data), possibly in combination with formatted fields. The special analysis and search capabilities play a particular role in the case of text fields, such as article or product descriptions, books or music titles, authors or performers, job site or project descriptions. In this respect, dataRetrieval always offers you the possibility of greatly restricting the search area by means of a variety of search attributes combined with error tolerance (fuzzy logic, phonetics, synonyms, …), so that finding the requisite data can be enormously simplified and accelerated and duplicates automatically found and prevented even with typing, hearing or reading errors.
With dataRetrieval, Uniserv offers you a high-performance tool for real-time searching and validation of individual business data records in all business applications and increasing the data quality across the company.
Unlike mailRetrieval, which processes customer data by means of a standardized knowledge base for names and addresses, dataRetrieval uses dictionaries, similarity, decomposition and context rules as well as other analysis parameters which are defined sector- and project-specifically. A special search index for the error-tolerant search is initially loaded and then periodically updated synchronously with the respective database.
Amongst other things, dataRetrieval supports you in the following:
- Identifying and preventing duplicates
- Merging information about existing data from different sources
- Quickly and efficiently searching for and finding objects in databases
- Enhancing data records with additional information by matching them against external lists.
With dataRetrieval, you increase the data quality in all business applications:
- MDM systems - e.g. for searching for product data in Product Information Management (PIM)
- CRM systems - e.g. for searching for sales opportunities and articles
- ERP systems - for searching for product and material master data
- SCM/procurement systems - for searching for product and material master data supplemented e.g. by terms and conditions and supplier data
- Data migration and integration - for searching for any type of business data
- eCommerce/webshop - for searching for product data to enable end customers to find the desired products more easily.
The combination of real-time searching with dataRetrieval and comprehensive data matching in batch processing with dataMatch enables you to increase the data quality of all business data across the whole company.
