| Abstract |
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In today’s business world, decision making is challenging task due to emerging technologies and strategies applied for enterprise. To make accurate decisions, the data present in the decision databases should be of good quality, in this relation we emphasis on building data quality evaluation model for data migration or Extraction Transformation and Loading (ETL) business enterprises. However, there are no standard tools in the market for evaluating the ETL output in the decision databases. The proposed model evaluates the data quality of decision databases and evaluates the model at different dimensions like accuracy derivation integrity, consistency, timeliness, completeness, validity, precision and interpretability, on various data sets after migration. |
