SAS Viya

What differentiates SAS Viya 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.

What differentiates SAS Viya from other similar products?

It also aids in data decision-making for various areas and is useful when it emerges as a tool for collaboration. We can monitor our complete data quality cycle in one location thanks to the integration of numerous technologies into the SAS data quality suite. It makes our life easier by allowing us to manage the job in one location.

What is your favorite aspect of this product?

The most challenging part of any analytics project is gathering the data and transforming it so that it is ready for commercial use. We were able to characterize data, preview it, standardize it, and monitor it thanks to SAS data quality, preventing data issues throughout the analytics process. Business intelligence is useful to us and aids in efficiently processing data to produce the desired results and answers.

What do you dislike most about this product?

Many distinct data formats are used; one of them, json, contains nested lists of data. We had trouble locating the hierarchical list and assigning the objects to the right data types. But SAS Support is a fantastic resource that explains all you need to know about using the software.

What recommendations would you give to someone considering this product?

For the grade book, personal data, class rosters, employee perks, and registration, we use SAS. The majority of these functions are easily filled by it. Having a one-stop store for everything is convenient. The advantage of SAS is that, despite being difficult to master, it is repetitive in nature.

What differentiates SAS Viya from other similar products?

Without asking us to relocate our data, SAS Data Quality addresses our data quality problems where we are. We can control the complete data quality life cycle on the SAS data integrity platform, all in one location. Additionally, it aids in analyzing and normalizing the data.

What is your favorite aspect of this product?

It has data that is simple to analyze, audit, and standardize, and it also provides superior visualization and integrated insights. Big data can be managed with self-service system integration and quality of data, and it can rapidly and clearly produce complete reports. It is quick to evaluate patterns and visualization. Additionally, cloud hosting, AI, and ML are supported.

What do you dislike most about this product?

SAS has many uses, but it does need some education. SAS isn't a skill that is simple to learn. It necessitates some background understanding of what each step accomplishes. You must also be aware of the potential steps in each operation.

What recommendations would you give to someone considering this product?

The SAS system hasn't seen many outages. There doesn't seem to be much slowness or mistake with it. The system offers a wide range of applications, and two-factor authentication is possible as a precautionary measure. When you want to look at descriptive analysis, multiple regression, or even analytical method, the software has excellent capabilities.