Oracle Enterprise Data Quality - versatile and easy to use
May 20, 2019
Oracle Enterprise Data Quality - versatile and easy to use
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with Oracle Enterprise Data Quality
It is being used to identify and manage duplicated data across its customer database and write rules to filter out bad customer information.
In other clients, it was used across the entire organization to manage product data and a huge amount of customer-facing SKUs.
In other clients, it was used across the entire organization to manage product data and a huge amount of customer-facing SKUs.
- Simplifies the data quality aspects.
- Visualizes data flows.
- Provides many pre-built processes that are very powerful.
- Quickstats overview is an amazing tool to quickly understand how bad the data currently is.
- Updates are few and far between as this has transitioned to the Cloud and is the core engine for DIPC (Data Integration Platform Cloud).
- Needs governance around the tool if multiple people are running reports (e.g. if someone is running a process, it locks out other users).
- Positive - it is required for clients and for us to understand how bad the data really is - it allows for iterative review and improvement of creating data quality rules
- Positive - the ease of use and visual review allows us to quickly create the rule set and show (in the tool) how it works. We save a lot of time by not creating powerpoints to explain what is happening.