Implementation of Data Quality Management is one of the basic assumptions for successful electronic data exchange solution. At the same time, it is the necessary requirement for data warehousing, business intelligence and data integration solutions.
Data exchange and sharing between all parts is common for all these approaches. As long as data in one part of the system are of low quality, errors are spreading to the other parts automatically. State registers comprise data about citizen which are incomplete, contain duplicities or are inaccurate in time.
Get acquainted with customer and address data consolidation approach as well as software tool for analyses, data cleansing, unification and data quality monitoring developed especially for Slovak environment.
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Monika Gregorová
Ing. Monika Gregorová works as a Senior Business Analyst for Adastra, the international consulting and software company. At this position, she is the head of the team of Data Quality Management and is responsible for methodical, software and realization project management in the field of Data Quality for Adastra’s clients. Monika has much experience in the field of business processes and data and process quality management in telecommunication, banking, financial services and state administration. Her experience involves Data Quality projects for important institutions, including quality management system introducing in a supranational telecommunication company, or introducing data quality system in a supranational IT corporation (ISO 90…
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