| Featured White Paper on searchDatamanagement.com | |
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| Leveraging Open Source Data Quality - Practical Examples Illustrated with Talend Data Quality | |
| Sponsored by: Talend | |
| According to a study published by The Data Warehousing Institute (TDWI), more than 50% of companies experience customer dissatisfaction and cost problems due to poor data. It’s easy to see how this can happen – with today’s interconnected information systems, misinformation can proliferate quickly, making it all the more critical to have a rock solid data quality strategy in place. This paper will help you refine your data quality strategy by addressing the main challenges of any project related to data and by drilling into specific use cases of data profiling and data cleansing. Additionally, it highlights how open source data quality technology can be leveraged to help alleviate issues caused by bad data. | |
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