A good tool in the market to manage Data Quality
What do you like best?
We have chosen this tool to manage a large set of data effectively.
Ease of use: It helps us to connect various data sources and prepare seamlessly.
Using this tool, no need to reconfigure ETL workflow or rules, as AI/ML sophistication technology reconfigures the rules autonomously.
Multiple levels of cleansing (basic, advanced, and reference) reduced the time taken to prepare the data.
Business user friendly: Even the non-technical user can manage the platform.
What do you dislike?
Since it's a new product in the market, no specific problems are faced so far as the vendor is traveling with us throughout the implementation and configuration phase to make sure its functioning well. It would be great if they have built-in visualization capabilities rather than an external plugin.
What problems are you solving with the product? What benefits have you realized?
Previously we had an issue in integrating multiple data sources and consolidate it. DQLabs connects all data sources and types using inbuilt connectors and some using custom APIs. We can easily cleanse a large amount of data using the ML-based curation feature. It increases overall productivity and helps us to make better decisions.