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What differentiates SAS Data Quality from other similar products?

SAS has many features, and can do crazy stuff. it is reliable and effective.

What is your favorite aspect of this product?

Customizable orchestration of runs like dags in airflow.

What do you dislike most about this product?

User Experience and interface, also effectivity.

What recommendations would you give to someone considering this product?

As I mentioned, it is highly effective and can do many things in data management.

What differentiates SAS Data Quality from other similar products?

Our company has experienced significant problems with data quality, so this tool was crucial for confirming data quality. Additionally, we required this technology for model governance, a brand-new sector of the business. Now that we can keep an eye on the quality of the data entering our prediction models, we are better able to validate our models.

What is your favorite aspect of this product?

I adore the visual appeal and integrated analytics. It has data that is simple to profile, monitor, and standardize. With self-service data integration and data quality, we can manage massive data. SAS can gather data quickly, clean it up, and consolidate it. Processing of data is precise. It swiftly deliver detailed reports that are comprehensible. It is quick to evaluate patterns and visualization. It also aids in the data processing.

What do you dislike most about this product?

It can occasionally be sluggish, and one drawback is that you can become dependent on SAS reports. For large datasets, I'd say it operates slowly. It is difficult to get used to if you are not at least somewhat technically inclined, and it would also be helpful if it were menu-driven so that users wouldn't have to remember the commands.

What recommendations would you give to someone considering this product?

The program offers a number of features, and the assistance in putting the solutions into practice is excellent. It is possible to enhance tool interaction. SAS Data Quality is a web-based tool that assists with data profiling, data correction, and custom rule creation. Overall, this technology achieves its goal of improving data quality.

What differentiates SAS Data Quality from other similar products?

Without needing us to relocate our data, SAS Data Quality is a software that gets us where we all are and solves our data quality problems. The general health and precision of the information you have may be managed with the aid of this solution. It is straightforward to use it and much superior to some of its rivals at the moment.

What is your favorite aspect of this product?

Our organization has had significant issues with data quality, therefore this tool was crucial for confirming data quality. It has grown to be among our best data tools. Additionally, a new sector in the organization and modeling administration required this tool. We can now keep track of the data quality entering our predictive model, which makes it easier for us to evaluate our designs than ever before.

What do you dislike most about this product?

It lacks sufficient instructions and requires specialized SAS expert services in order to function properly. They provide very poor service and are unavailable when we need assistance. It can be sluggish and arduous to clear the data and certain problems, idiosyncrasies and functionalities that do not make logical difference.

What recommendations would you give to someone considering this product?

From basic to advanced, this tool is generally doing a great job for us. We are already able to relax about our data quality because we know that SAS Data Quality is in charge of that responsibility. It is a piece of software that is critical to us since it can effectively evaluate very vast and complicated data sets. Compared to other analytic applications, its data output is clearer.