Mage AI vs. Oracle Data Masking and Subsetting

Mage is well-suited for probability score for uptake of every product is calculated for customers using ML/ Regression models, choosing customers for a product/ Top products for a customer, based on the requirement and Identifying popular product combinations using association rules from Market Basket Analysis (or affinity Analysis)\Bundle these products as combos.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

The tool is excellent when you need to provide all the details about your clients, yet hide their identity - all while maintaining the referential integrity of the data (so child-records of the masked parent record and maintain the same fake ID of the parent).

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Ranking algorithms.
• Cloud-based tool.
• Increase user engagement.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• It offers several ways in which you can mask your data; for example, you can choose to replace all names with "real fake names", or choose to replace all SSNs with existing SSNs, but randomly assigned. You control the algorithm.
• It works on non-Oracle databases as well (in our case, we use it for both Oracle and SQL/Server).
• The overhead is minimal (it doesn't take long to run, and it doesn't consume too many system resources.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Acquisition Contribution.
• Business Intelligence Reporting.
• Data Destinations.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• The learning curve was not trivial - but we got through it.
• Cost - this product is not cheap.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Mage was the easiest in terms of ease of implementation due to its no-code functionality. However, Mage doesn't have a whole ecosystem like AWS and slightly falls behind there.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

We also looked at Delphix: the tool was quite powerful, easy to use, and competitive from a cost standpoint. However, since our entire data warehouse environment is built on the Oracle technology stack, it made sense to us to use the Oracle product here, as it integrates very well with other Oracle database and ETL products.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Business Understanding.
• Data Acquisition and Understanding.
• Data Modeling and Evaluation.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• We have many compliance regulations we need to adhere to. Without this tool, we were always taking a risk of exposing client information, and get penalized by the State of the Feds (the financial consequences are significant).
• So while the tool doesn't save us money directly, it greatly reduces the risk we had been taking all these years. To some degree, this is much like an insurance policy.
• Given the above, it also allows us to share information with other departments/agencies, in situations where before we simply couldn't take the risk of exposing client information.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info