The key to success lies in the adoption of the solution within the customer's processes and services. My recommendation is to initiate the implementation by focusing on critical data. By starting with essential data sets, you can swiftly demonstrate tangible results to the business. This approach is strategic because, often, the technical aspects of the technology are not easily comprehensible to the business stakeholders. Begin with a small yet high-value segment to enhance data quality, and then gradually extend the implementation to cover the entire organization. This phased approach ensures a smoother transition and a more significant impact on overall business processes. Overall, I would rate it eight out of ten.
My advice to new users is that if you are looking to identify data issues, I would recommend Talend Data Quality as a cost-effective and efficient choice. However, if you also want to enforce rules and handle discrepancies, Talend Data Quality may not be enough, and you should consider Talend's integration solutions for a more comprehensive approach. Overall, I would rate the solution an eight out of ten.
Practice Manager (Digital Solutions) at a computer software company with 201-500 employees
MSP
2020-08-30T08:33:35Z
Aug 30, 2020
It's a great technology. Be careful of the add ons and there are different packages. Most customers are fine with starting off with Data Management, but there are add ons. I would suggest sharing the requirements or the scope with Talend so that they have an understanding of the work features that are required to grow with the right brand of data fabric for data management. It's one of the leading platforms. It has customers who are looking for a good and cost-effective data integration platform, that can connect with multiple technologies. It has data integration and data management capabilities, which is why many customers use Talend, but there are some elements with the support that they need to look at. I would rate this solution an eight out of ten.
ETL/SQL Developer at a insurance company with 201-500 employees
Real User
2018-03-06T07:53:00Z
Mar 6, 2018
The Studio is easy to understand. The analysis and reports are easy to build as well. We have been using it for the past four to six months now. We do not have many analyses created though. Since our Portal is not working, we are not using it to its full potential, which I want us to use. Therefore, this product has room for improvement.
The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of...
The key to success lies in the adoption of the solution within the customer's processes and services. My recommendation is to initiate the implementation by focusing on critical data. By starting with essential data sets, you can swiftly demonstrate tangible results to the business. This approach is strategic because, often, the technical aspects of the technology are not easily comprehensible to the business stakeholders. Begin with a small yet high-value segment to enhance data quality, and then gradually extend the implementation to cover the entire organization. This phased approach ensures a smoother transition and a more significant impact on overall business processes. Overall, I would rate it eight out of ten.
My advice to new users is that if you are looking to identify data issues, I would recommend Talend Data Quality as a cost-effective and efficient choice. However, if you also want to enforce rules and handle discrepancies, Talend Data Quality may not be enough, and you should consider Talend's integration solutions for a more comprehensive approach. Overall, I would rate the solution an eight out of ten.
I rate Talend Data Quality a nine out of ten.
I would rate Talend Data Quality a nine out of ten.
It's a great technology. Be careful of the add ons and there are different packages. Most customers are fine with starting off with Data Management, but there are add ons. I would suggest sharing the requirements or the scope with Talend so that they have an understanding of the work features that are required to grow with the right brand of data fabric for data management. It's one of the leading platforms. It has customers who are looking for a good and cost-effective data integration platform, that can connect with multiple technologies. It has data integration and data management capabilities, which is why many customers use Talend, but there are some elements with the support that they need to look at. I would rate this solution an eight out of ten.
The Studio is easy to understand. The analysis and reports are easy to build as well. We have been using it for the past four to six months now. We do not have many analyses created though. Since our Portal is not working, we are not using it to its full potential, which I want us to use. Therefore, this product has room for improvement.
Great product, surely give it a try.