Zarządzanie jakością danych w systemach informatycznych przedsiębiorstwa

• Autorzy: Rostek, K.

Warianty tytułu

EN

Enterprise data quality management

• Języki publikacji: PL

Abstrakty

EN

Every day brings new challenges for customer acquisition and retention in competitive business environment. to stay ahead, companies are turning to decision support solutions to help identify and manage their customer relationships. Enterprise data quality management is the important problem which should be taken into consideration in the planning of the strategy for the developing and competing on the market. Data quality of an information system is regarded as the most important factor because it is the basis of an information system. Low quality data brings several negative effects to business users through the loss of customer satisfaction, high running costs, inefficient decision making processes, and performance. The data quality management isn't limiting itself only to correcting mistakes which done locally - in transaction data. It is the management philosophy, based on the true, complete and current information, accessible to all organization. Developing the culture of managing the information and implementing the data quality management philosophy is necessary for achieving business and economic benefits of the high quality of data. OODA strategy (ang. Observe-Orient-Decide-Act),, That is the cause that 14 points Deming's philosophy of quality management in taking back to data quality and the TIQM methodology {ang. Total Information Quality Management) were introduced in this article. The maim element of quality data management is a process of cleaning data, which the first stage is a diagnosis of the state of databases, that is profiling data. The article is presenting the project of original tool, prepared to the order SAS Institute, which is automating and standardizing a process of profiling data, independent from the type of the database or the type of the operating system. The PROFIL program is broadening possibilities of standard tools of cleaning data. It is raising the effectiveness of the cleaning process and is shortening the time of designing and implementing of the cleaning data project. The PROFIL program was done as widening the functionality of the PowerStudio program, but he can successfully be used as the tool of profiling data in free applying of the data quality management process. The article is presenting the structure, the schema of functionality and the example of practical using the PROFIL tool.

Słowa kluczowe

PL

zarządzanie jakością; system informatyczny

EN

quality management; information system

• Czasopismo: Zarządzanie Przedsiębiorstwem
• Rocznik: 2008
• Tom: Vol. 11, nr 2
• Strony: 31-42
• Opis fizyczny: Bibliogr. 19 poz.

Twórcy

autor

Rostek, K.

• Wydział Zarządzania Politechnika Warszawska ul. Narbutta 85,02-524 Warszawa tel.[phone],

Bibliografia

• [1] Borowik P., Krajobraz integracji danych, "CIO Magazyn Dyrektorów IT", nr 10/2006.
• [2] Deming E., Out of Crisis, Massachusets Institute of Technology, Center for Advanced Engineering Study, 1982.
• [3] Dongre K., Data Cleansing Strategies, DM Direct, październik 2004.
• [4] English L., 14 Points of Information Quality Transformation, "DM Review", listopad 2006.
• [5] English L., Total Information Quality Management: A Complete Methodology for IQ Management, "DM Review", wrzesień 2003.
• [6] FirstLogic, Customer Data Quality, FirstLogin Inc., 2003.
• [7] Friedman T., Bitterer A., Magie Quadrant for Data Quality Tools, 2007, Gartner RAS Core Research Note G00149359, 29 czerwiec 2007.
• [8] Gamdzyk R, Poprawka z danych, "Computerworld Polska", 4 luty 2002.
• [9] Kimball R., Caserta J., The Data Warehouse ETL Toolkit, Wiley Publishing, USA, 2004.
• [10] Kobyliński O., Komorniczak W., Dane na zawsze czy na chwilę, "Computerworld", 28 listopad 2005.
• [11] Koźmiński P., Czyszczenie danych, [w:] Przyszłość systemów informatycznych przedsiębiorstwa, pod red. K. Sitarskiego, Oficyna PTZP, Warszawa 2008, str. 56-64.
• [12] Koźmiński P., Projekt narzędzia informatycznego kontrolująco-raportującego transakcyjne bazy danych, praca dyplomowa, promotor K. Rostek, WIP Politechniki Warszawskiej, czerwiec 2008.
• [13] Kyung-Seok R., Joo-Seok P., Jae-Hong R, A Data Quality Management Maturity Model, "ETRI Journal", vol. 28, nr 2, kwiecień 2006, str. 191-204.
• [14] Lee M., Lu H., Ling T., Ko Y., Cleansing Data for Mining and Warehousing, [w:] Database and Expert Systems Applications, 10-th International Conference on Database and Expert Systems Applications, 1999, str. 751-760.
• [15] Olson J., Data Quality. The Accuracy Dimension, Morgan Kaufmann Publishers, USA, 2003.
• [16] Osinga F., Science, Strategy and War: The Strategic Theory of John Boyd, Abingdon, UK: Routledge, 2007.
• [17] Soszyński T., Jakość danych po polsku, "Gazeta IT", nr 30, grudzień 2004.
• [18] Sypko W., Badylak R, Nieosiągalny ideał i smutna rzeczywistość, "Computerworld", 4 luty 2002.
• [19] Szewczuk J., Zarządzanie jakością danych. Kiepskie dane są drogie, "PC Kurier", nr 18/2002.