It is saving a lot of time. A person doesn't need to sit and create a file to test. Instead, there are automation processes that are like self-service, and with a few clicks, people are able to generate the data and process it to complete the testing. This gives more confidence in the quality of the deployment that happens in production. The outages have also reduced.

Overall, from 2017 to 2020, we have almost saved around 140,000 to 160,000 hours, which is only with respect to the data. I don't know how much we have saved because of masking. If masking is not there and compliance-related things come up, it could be $2 billion to $3 billion of expense that a company has to bear. Because masking is there, it gives more confidence. Not having the PHI and PII footprint in the lower environment has helped our organization.

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The primary advantage revolves around enhancing the quality of the customer's technology through the utilization of Talend Data Quality. By initiating the process with the tool, users can identify and address various data issues through profiling. This proactive approach results in an improvement in data quality, ultimately contributing to more informed and effective decision-making.

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This product speeds up the unit testing and QA for specific test scenarios. As a result, the development output quality can be evaluated and adjusted.

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Talend Data Quality made a big difference for our organization. For example, when we were switching from one system to another, and the data in both systems was different, with different rules. When we were moving the data, it was crucial that the quality remained high. Talend Data Quality helped us ensure that the data was accurate and consistent during this transition.

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With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects.

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Has reduced manual effort to import data.

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It’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed.

We’re also able to respond much more quickly to changes and demands from the business. We can create and change jobs quickly. When the business wants new data for a report, we can provide the data within hours.

The jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code.

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It lowers the amount of time in development from weeks to a day.

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Solves problems with the quality of data applying some business rules. And with the data integrator load data from multiple source to a target source. View full review »

It allows our customers to master and expand their products to an international scale. In addition, it enables customers to consolidate multiple, disparate sources of data into a centralized, master data hub which can used for operations or analytics.

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These are: fast job creation from start to finish which improves ROI, good and easy debugging functions.

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It has provided the feature wherein the business could make the changes as requested without performing the ETL deployment code to production.

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Data Quality easily identifiable instead of manual finding and cleaning the data through Excel (earlier used to follow) before ETL

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• More accurate data-quality issue identification
• Reporting

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Coming into the department with no knowledge of Talend, the interface has been user-friendly enough to allow me to come up to speed in four to five months on almost all its functions and use it like a pro.

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While building Customer registry for a global hi-tech manufacturing firm few years back, to establish single view of customer across geographies, Talend data quality was used in conjunction with other tools to track and manage data quality metrics, with minimum investment. DQ Scorecards were published for daily updates to DMO(data management operations) and steering committee. View full review »

It has definitely streamlined certain processes.

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Talend has allowed us to systematically organise/structure and deploy our staged ETL transformation processes from Development into production, we have tracked our data quality efforts during our runs and supplied comprehensive feedback during our development.

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