Informatica Cloud Data Governance, Access and Privacy vs. Precisely Data360 Govern

Allow creation of custom fields to meet specific metadata requirements' It will allow exporting the data to spreadsheets. The system will allow the capture of business Data for the Enterprise in this scenario software will be much appreciated.

Incentivized

For standardization, it has worked well. The data validation checks work great too

Incentivized

• automated sensitive field detection
• replace critical data with dummy but real-looking data
• threat detection
• role based access

Incentivized

• High Complexity, requires training.
• As it does not allow customization in relationships such as information separately in visual form and even in other tools of the Informatics group such as EDC.
• Navigation is complex.

Incentivized

It is easy to navigate, but can be finnicky in finding exactly what you need, especially if different objects have similar names, e.g. a table, relationship, column, platform, could all have variations of similar names, and it can get confusing what level you are navigating on when exploring. It also depends on the upkeep of updated information, such as metadata and descriptions associated with data assets

Incentivized

It was not the best-evaluated tool in technical terms, the best evaluation is with Collibra, but the support and price offered surpassed Collibra, which is not supported in Brazil, so the choice of Informatica was more due to the support and price of the than for tool quality. It ends up meeting the basics of governance, but it's not good for privacy management.

Incentivized

We chose precisely Precisely Data360 Govern because of it's customization and configuration options, which fit our business' unique needs, as well as its integration with other tools from the precisely Precisely Data360 Govern suite, namely Analyze and DQ+. We were able to implement all 3 together, and Precisely Data360 Govern can pull data quality scoring data from DQ+. Additionally, it was less costly compared to informatica.

Incentivized

• Negative impact: high training demand
• Negative impact: high cost of infrastructure
• Negative impact: does not meet privacy management
• Positive impact: very good support
• Positive impact: rapid implementation
• Positive impact: very good data discovery quality

Incentivized