The solution was implemented from scratch, starting with collecting the business requirements from subject matter experts, designing the UI/UX, training neural network models and developing the web application . Since this topic is very sensitive, we couldn’t afford to make mistakes or inaccuracies in the output of data that could lead to huge fines, so we involved lawyers and auditors in the development.
We delivered a comprehensive RPA solution designed by Data-Scientists with our AI skills involved as well as our other tools launched earlier – CogniPy and FluentEditor. The app collects data from databases, file systems, emails and other enterprise systems. Then all data and documents are scanned and the recommendation system provides solutions.
The output is an application where the client in the admin panel can find all data needed, browse detailed reports on all stored personal or sensitive data, and recommendations for their storage and authorization.
In the case when a request for deletion of data is received, it can be difficult to find exactly WHERE this data is collected for a particular user, especially in companies of Enterprise level. LiveComply helps you quickly find all the data about this person and delete or disable them from marketing activities if the data needs to be stored for a certain period of time by law.
Moreover, for all companies, mainly large corporations and companies from the financial sector (such as banks) and all related ones to the public sector, data storage security is crucial. We have resolved this issue by not collecting and sending data to the cloud, but deploying it in the internal environment. This rules out from our side the risks of data breaches and possible vectors of cyber attacks.
Another “side effect” may be the benefit to the marketing department of the customer company. Cross-channel analytics always has a blind spot where clients come from. Even if you brought in a professional to set it up, she/he could simply not take into account some data as you forgot about it. Now the marketing department can properly set up analytics taking into account all the data collected and learn from each lead.
At the moment, the product is presented as an MVP, and our team continues to work on it adding new features. We are planning to add Arabic and Turkish languages as well as other useful functionality.