What do you like best about the product?

Hazy is at its best when it comes to producing artificial data that has the same usefulness as real data but is more secure and private than the latter. Its processing of the data fastens it for easy access and usage. Additionally, it offers user-friendly management approaches as well as straightforward usage thus ensuring that no intricacies are left out nor functionalities disregarded in carrying out your work. Hazy on its part helps one comply with data protection regulations by enabling one to generate synthetic datasets therein which reduces risks associated with dealing with sensitive information.

What do you dislike about the product?

Setting up and configuring hazy involves lengthy processes that are very hard to bear if one is doing them alone. There may also be instances when certain aspects of real-life data cannot be replicated hence leading to inaccurate synthetic data for some applications. Furthermore, despite having strong privacy features, some users find such simulated information not useful for particular use cases requiring extreme accuracy in order to satisfy their taste.

What problems is the product solving and how is that benefiting you?

I made use of Hazy in order to improve our handling of data via the generation of artificial data for testing as well as analysis. All through this process, we could still enjoy the benefits of a realistic dataset while maintaining our customer's rights to information secrecy and security. Other than making it easier for us to do away with complexity in configuration, fast processing was also facilitated by my integrated system thus enabling me to have what you have in no time. Through testing processes, the feature has been very helpful as it saves time that would have rather been spent doing manual work such as recurring customer information which can take a long time especially if you are looking at multiple accounts within an organization