Augmented Data Quality Solutions Reviews and Ratings

As we move through demoing for a new DQ tool. They have been extremely informative and helpful throughout this journey.

The overall experience with SAP Data Services has been good. It is easy to process the data and also helps in improving the data quality.

Talend Data fabric is best one as it has the great feature and easy to use.

Oracle Enterprise data quality has proven to be a robust solution for maintaining data integrity within our organization. It's comprehensive set of tools and features ensure the data accuracy and consistency, contributing to our overall data management strategy. The benefit in terms of data quality and reliability makes Oracle Enterprise Data Quality a valuable asset for any enterprise seeking to optimize its data management practices.

This product is great! You do not need an army to deploy or manage Ataccama. With the advance AI and the "one stop shop" data management capabilities, Ataccama is the tool for you.

Data analysis is a need for every organization to be in the business in the current day scenario where tools like Microsoft Data Quality Services come in handy to manage your data. The tool helps in cleaning, transforming and enriching the data and helps in maintaining that the data is accurate and complete. This becomes very critical since this data is base for many business critical decisions. Users can create multiple knowledge bases/repositories of quality data (meta data creation and handling). The tool helps in matching, linking and removing any duplicate data within the data sets. It is scalable/adaptable for small/mid/large organizations. It provides excellent user interface which is easy to use for beginners and experienced professionals for data management. It integrates seamlessly with other Microsoft tools if there any pre existing Microsoft infrastructure.

The product has excellent data management tools for seamless data integration and cleaning features for your data so that it significantly reduces the data preparation time for data analysis. Its advanced data analytic capabilities makes the business strategic decisions simple and easy by providing excellent data visualization tools for supporting the business critical decisions. The data visualization not only helps in making informed decisions but also helps in getting in acceptance/support for the strategic decision making by conveying the data insights before hand which otherwise will be difficult. It has proven security features which allows organizations to trust the tool and focus on other critical business use-cases. It provides very good user interface that can be adaptable by various levels of data analysts. With the integration of AI&ML making it versatile and adapting to changing requirements easy and faster.

SAS Data Quality is a great product to improve the quality of data. It allows us to profile our data to gain insights into its structure, distribution, and quality. It helps us identify issues such as missing values, outliers, and data patterns, enabling users to understand the overall quality of data. We have been using it since 3 years and it has improved data accuracy and facilities more effective communication with customers. It helps us define and implement data quality policies and procedures ensuring that data is managed consistently across the enterprise. The data Profiling helps us us identify issues such as outliers, anomalies, and data distribution patterns. It helps us compare and match records based on specified criteria.

Besides being a user of Abinitio, I also took part in the team who implemented and customized the tool to fulfill our organization's requirements and needs. I was also in charge of promoting Abinitio within the organization to be used on a daily basis both by business users as well as by technical users.

DQLabs Data Quality Platform is a robust solution designed to enhance data accuracy and reliability. It offers advanced tools for data profiling, cleansing and monitoring, ensuring high-quality data across organisations. With features like automated anomaly detection and real time alerts, DQLabs empowers businesses to make informed decisions, improve operational efficiency and maintain trustworthy data assets.

SAP Information steward is among the best tool out there for data quality solutions. We are able to control and identify risks with respect to data. It gives us a confidence as it provides information system layer for due diligence. It helps us in monitoring large amount of data in the organization.

One of the best Data Quality tools that I have used. Very small learning curve, was able to pick up and use it on the first day. Also extremely powerful, the team has been able to use it for complex data quality analysis as well as aiding document scraping activities. The ability to do a quick profile on the data for look for patterns has been invaluable too.

Very happy with this product. Offers tremendous flexibility with the vast number of connectors. Very impressed with the speed and performance. Easy for any developer to use. Very easy to handle various input and output formats and layouts. Scalable to handle a few records or billions of records.

great experience with vendor - pays attention to customer needs and wants. It is easy to get a hold of them if/when an issue arises and they do everything to get in resolved - troubleshooting, updating documentation, putting in escalation, etc.

It enables ease to identify innacurate or incomplete data.It is simple to access any kind of business data with SAS Data Management.It is simple to integrate or connect data with different data sources when using this tool.It simple to use this as it have an intuitive and user-friendly interface.

The description of your data helps in data analysis, data prototyping, and since management. It is very easy to use.

We are new to D360 and yet we are opening endless possibilities with our data. Used them to compare and detect data quality mismatches and at the same time provide simple dashboards that uses drill down capabilities. This is perfect for it.

Infosphere information analyzer goes beyond conventional data analysis tools focusing specifically on identifying and rectifying data quality issues it also excels in metadata management and thus providing a centralized repository for organizing and understanding the structure and context of enterprise data.

I always prefer MIOvantage to fulfil my data merging requirement and really a good experience with the platform. Backed by excellent support, its the go-to for businesses seeking efficient data cleanup and augmentation.

Automate the data quality process. Integrates with various data source.