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Intelligent Pricing Seminar – Optimal Package Calculator | SPSS Hungary organized an “Intelligent Pricing Seminar” on 27th November, 2009.
We successfully introduced a product propensity model system to support cross-sell sales activity of | We successfully introduced a product propensity model system to support cross-sell sales activity of T-Mobile brand at Magyar Telekom in 2006.
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We accomplished a churn project successfully at T-Mobile Macedonia. The project started in February, | We accomplished a churn project successfully at T-Mobile Macedonia.
Project in USA | We performed a successful project in the USA.
Career | Datawarehouse architect, Data mining analyst, Oracle developer...
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Skiing in Austria | Company ski weekend.
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1. Definition of data cleaning aims: measurement of given data, definition of the starting data quality, fixing expectations of the wished data quality.
2. Create data cleaning rules (individual codes of programs, using already existing program components and further data cleaning softwares)
3. Running programmes, queries by rules detecting data mistakes.
4. Priorizing detected data mistakes, along with scenarios for selecting the proper data correcting methods. Carry out the process of data cleaning.
5. Comparing expected and actual data quality. Depending on the result coming back to phase2 or phase4.
6. Modification of systems for building databases and modify internal working processes to avoid repeating data mistakes. Forming monitoring system.
