Very good news today !
Here a quick analysis
Data Quality is a major step in Pentaho’s roadmap to build the future of analytics. This data quality component includes:
- Data Profiling
- Name Validation, Standardization and Cleansing
- Address Validation, Standardization and Cleansing
- E Mail and Telephone Validation, Standardization and Cleansing
- Duplicate Detection and Merge Duplicates
CHECK a Video Test here:
The solution isavailable and can be downloaded as a plug-in for the existing Pentaho Data Integration / Kettle releases 4.2.x and later.
“Dirty data remains a major barrier in providing accurate and timely business analytics to end users. Yet until now, the cost and complexity of existing data quality solutions meant that many companies simply could not integrate or include data quality as part of their overall business analytics operations,” said Barry Godthelp, VP Sales, Human Inference. “With Pentaho Business Analytics integration with Human Inference, Pentaho takes analytics to the next level, on-ramping customers get better data and faster decisions, combined with the freedom of choice in delivery method and pricing.”