Gartner defines augmented data quality (ADQ) solutions as a set of capabilities for enhanced data quality experience aimed at improving insight discovery, next-best-action suggestions and process automation by leveraging AI/machine learning (ML) features, graph analysis and metadata analytics. Each of these technologies can work independently, or cooperatively, to create network effects that can be used to increase automation and effectiveness across a broad range of data quality use cases. These purpose-built solutions include a range of functions such as profiling and monitoring; data transformation; rule discovery and creation; matching, linking and merging; active metadata support; data remediation and role-based usability. These packaged solutions help implement and support the practice of data quality assurance, mostly embedded as part of a broader data and analytics (D&A) strategy. Various existing and upcoming use cases include: 1. Analytics, artificial intelligence and machine learning development 2. Data engineering 3. D&A governance 4. Master data management 5. Operational/transactional data quality
"Exploring AI Features in the New DQ Tool"
As we move through demoing for a new DQ tool. They have been extremely informative and helpful throughout this journey.
"High quality High Performance and highly skilled base product"
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 is one of the best ETL tool"
Talend Data fabric is best one as it has the great feature and easy to use.
"Fostering Customer Success Through Quality Data Profiling"
Very customer focused organisation that see their success linked to their customers success
"Elevating data integrity to unprecedented Heights "
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.
"Experian Aperture Data Studio: Improving Data Quality and Speed with exceptional Support"
The support we have received from the vendor has been exceptional. They prioritise our queries and nothing is too much trouble for them to review or consider. We have a fantastic working relationship with the Aperture technical support team
"Transform, Clean and Enrich your legacy organization data"
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.
"Ab Initio: A Powerful Platform for Data Discovery, Data Lineage and Data Quality"
We have been using Ab Initio at our organization for more than a decade and it was mainly used as a Data Integration tool for many large data intensive applications. Recently, we decided to implement a business critical Data Quality Platform for one of our ledger Transformation Initiative and Ab Initio Data Quality Platform was chosen for the same. It provides the ability for users to config real-time data quality rules, classify results into Detective, Preventive, Corrective, and take appropriate action accordingly. Platform is user friendly, ability to draft data quality rules at attribute level as well as feed level. It has a very powerful data visualization dashboard and provides integration capabilities with Tableau and Power BI. We have successfully implemented Data Discovery, Data Lineage and Data Quality under one platform which used to be three different maintenance heavy applications.
"Improve Data Accuracy"
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.
"Top Notch Software!"
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.
"Elevating the Customer Experience with DQLabs Implementation"
DQLabs product and service during implementation is really enriching the Customer Experience.
"Best Data Quality Suite I have used. "
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.
"Terrific flexibility, robust pallet of connectors and highly scalable."
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.
"Harnessing Power of Data Analysis made Easy by Precisely Data360"
Analyzing the data and processing it for the collection of useful insights with Precisely Data360 is very easy and hassle free. their user interface gives the best experience to analyse data with sweet and simple dashboards. their drag and drop option also feels like a very effective feature on their platform.
"Impressive Consultancy Ensures Uninterrupted Performance"
Great consultancy and follow up help. Reliable uptime and accuracy
"Vendor's Attention to Customer Needs Commendable"
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.
"Data-quality power toolset that is front and center in the entire organization"
Major issue with our data is duplicates which can be easily addressed by Syniti Match and I also manage territory alignment changes with this product. Its super powerful, and when it works perfectly, there is a lot that somebody can do with Syniti Match. The matching logic is by far the best feature of Syniti Match and it is better than anything I have seen from other tools.
"Great for ease of use"
The description of your data helps in data analysis, data prototyping, and since management. It is very easy to use.
"Rectify data quality issues on Infosphere information analyzer"
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.
"Cleaner, more complete data stewardship dashboard"
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.