Oracle Enterprise Data Quality vs. SAS Data Management

• Ease of adding localized and customized data quality formulations (for instance asking for Turkish Citizenship Number from governmental web service and checking whether data is the same with the output).
• Finding the "golden record" from the duplicated records.
• Adding and/or merging missing information from different data sources.
• Using patterns and statistical functions to complete the data.
• Address verification (can be localized).
• Parsing of combination of records.
• Enriching required data from free text (story told) inputs.

Incentivized

SAS/Access is well suited for companies who need to manipulate and analyze large databases and data-sets. It does the same thing as SQL, and if you already know basic SAS coding it is easier to pick up. SAS/Access works well with analyzing data from multiple data-sources at once, including large databases stored in external and virtual environments like Hadoop. Data can be easily reassembled from relational databases for use by the user. SAS/Access is not necessary if you are only pulling data from one database that you have the physical file for.

Incentivized

• Address verification helps you filter bad data out and improve your data quality.
• Strength by DnB enriched information to address the correct customer by address.
• expert data profiling to help us quickly understand our current data health.

Incentivized

• SAS supports the main database connection options that allow you to optimize the performance of your extracts and loads.
• Simplicity of the syntax for a basic connection.
• Ability to configure by an administrator in a BI environment so that all users can benefit from the connection without having to establish it by themselves.

Incentivized

• 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).

Incentivized

• It is a versatile product but sometimes difficult to use due to the very close link with the proprietary programming language where specific knowledge is required.
• Compared to competitors on the market that offer the same functions for the integration perimeter, it is certainly very expensive.
• It is very simple to use when combined with products from the SAS suite, less so it is being used stand-alone or integrated with other well-known brands.

Incentivized

We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.

The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.

Incentivized

It worked as expected.

Incentivized

With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.

Incentivized

Oracle Enterprise Data Quality is affordable and I find it more resourceful. Using it is easy too thanks to the improved UI.

Incentivized

Because SAS Data Integration Studio is the third party it seems to work equally well with all our systems. That is to say that it doesn't really work better with Microsoft or Oracle but really just seems to work equally well with all of them. It has a very powerful back-end that allows us to transform and load our data quickly and efficiently programmer time wise.

Incentivized

• Details verification, for instance, address ensure the quality of every operation is sustained.
• Further, sales analytics improves the market share as customers get to apprehend the business needs.
• Oracle Data Quality has consistent data connectivity, a standard way of improvising business requirements.

Incentivized

• The platform enabled us to have a single repository of customers to run campaigns on.
• Feedback from various campaigns is stored in a single database, which makes running A/B analysis easier.
• Helped improve data quality due to SAS Dataflux being a part of the SAS Data Management Platform.

Incentivized