Data Quality Explorer vs. IBM InfoSphere QualityStage vs. Informatica Cloud Data Integration

Standardization of data using rules for names and addresses. Possibility of building our own rules to standardize other data. Contruction of complex rules of matching and consolidation of data. Native integration with ETL tools and data governance.

Incentivized

We use it a lot for importing data. We transform the incoming data to match the formatting of our CRM. We also match on existing records to avoid creating duplicates. Informatica handles all of this exceptionally well. Our users are system administrators. The tool is not well-suited for users who do not have a technical background

Incentivized

• Create rules
• Standardization and normalization of data
• Integration with DataStage

Incentivized

• Data synchronisation
• Data replication
• Data integration

• Should include all the data profiling functionality
• Better features to tune matching capability
• Include AI to automatically recommend actions to improve processes

Incentivized

• There is a moderately steep learning curve
• Has some idiosyncrasies
• Can be finicky with date formats

Incentivized

There is a learning curve with Informatica. It is not always intuitive to use. It is best suited for technical users such as system administrators

Incentivized

It is a robust tool. It can be integrated with several DB. It works very well with DS. You can create your rules, and define the percentage of standardization or normalization

Incentivized

It is really easy to comply and understand its features.

• Improving Data Quality
• Reducing costs due to better Data Quality
• Single view of customer / product
• Better data governance

Incentivized

• Really greatest than any other conventional application.