SAS Data Quality

What differentiates SAS Data Quality from other similar products?

Without forcing you to relocate your data, SAS Data Quality responds to your data quality concerns where you are. It is a system where we can control the whole life cycle of our data quality in one location. Additionally, it aids in profiling and normalizing the data.

What is your favorite aspect of this product?

I appreciate the enhanced visualization and integrated analytics. It has data that is simple to profile, analyze, and regulate. 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. swiftly deliver detailed reports that are comprehensible. It is quick to evaluate patterns and visualization. It enables cloud computing, ML, and AI. Business intelligence is helpful to us.

What do you dislike most about this product?

In today's environment, where we demand extreme speed, SAS data quality is a slow tool that makes the experience somewhat uncomfortable. I can see that adaptation is simple because the user interface is decent, but the time needed to generate any report is a little longer than we require.

What recommendations would you give to someone considering this product?

This tool, one of the greatest BI tools, supports a variety of business solutions and data-related processes. It aids in data processing effectively and offers the needed results and solutions. It facilitates comprehension of the demands and raises the standard.

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.