SAS Data Management stands out because of its data standardization, transformation, and verification capabilities. Even though it is not the best, I find it remains competitive with other equivalent solutions.

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The reporting and financial alerting features have been most valuable to us. While other analytics features are still in their infancy, we anticipate significant benefits once fully realized.

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I am impressed with the tool's ability to customize. 

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Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools. 

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In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features.

SAS Data Management is a one stop solution where we are not dependent on the sources because it can connect to any source and it can report to any source. This is a very important feature when we are trying to access any type of data to do the data management. The core feature is that we can access and manage the data very easily.

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It's quite easy to use, even for a business user.

A person who does not have any background in coding, could with minimal training use this software to get any additional data elements or additional tables that they require but are not currently getting.

Also, it can connect to a variety of sources through an ODBC driver, so whether the solution is on-premises or on the cloud it can connect to all of the sources.

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The monitoring capabilities are very good.

The product offers very good flexibility.

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The language is the most valuable feature within the solution. It's very flexible and very powerful. 

If you compare it to SQL, the memory and development times are very quick.

Trying to develop the code is very easy.

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The interface of the solution is great. You don't need to be an experienced analytics person to work with the product. Even new users can do all sorts of modeling on the data. 

The data-cleaning aspect of it is awesome. 

You can put together different data sets from different environments and different platforms. SAS Data Management takes a lot of data sets, and you can do any sort of analysis on them. It's very, very comprehensive.

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I just use the main features of SAS (Statistical Analysis System). I use it to work with data from Excel and then go from SAS to Excel. It is very light usage really. I don't use the broader capabilities. There is probably 90% I haven't used at all.

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Data quality and the great integration possibilities.

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The main purpose for buying this product was to give our business users that have technical skills a tool where they can easily build jobs/queries against our DWH. The interface for building these jobs is very user friendly and the learning curve for using it is very good. View full review »

National Quality Knoledge Base
Matching features
QPI (Quality Performance Indicator) analysis approach

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• In my previous employer we used the DataFlux suite of data quality, data integration and data governance solutions. It provided us cross-functional data management. • Great for ETL, CDC, data federation, RT data flow. Works with cloud and big data environments. • It enabled us to access and use data sources from across our enterprise in order to maintain a consistent set of policies for managing our data. • We had a single and unified view of our enterprise data by using its MDM component. View full review »

The tool is reliable, quick, and powerful.

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