Global Data Excellence DEMS Reviews

We have different use cases. We have been working with some banks where we are optimizing the loan process and compliance. We are also working with other banks for an equivalent of the California act, GDPR, or data protection regulation.

We are also working with some insurance companies to align the compliance and regulations needed for their insurance policies and fasten the time to reimburse the customers in case of an accident or other similar things. It is a pretty unique tool. It really doesn't have a specific area of interest, but as long as you can define your correct governance approach, you can have any approach you want. We are using the latest version of this solution.

We have a 20% decrease in costs and an approximately 30% increase in production. We have around 40% to 50% less bureaucratic policy for middle management. These are some of the key benefits that we encounter.

One of the key factors of GDE DEMS is that it is a completely transversal solution, so it's adaptable to any industry. The main benefit is that it's directly a solution for the data user. The data user puts in the business requirements or business rules, and the system starts to control how their data complies with these requirements. This allows you to guide yourself in a predictive way. You start being proactive to find correct solutions to mitigate your data problems, so you start getting better results. 

We have insurance clients who use the solution to better their claims management process. We have financial institutions that use it for their financial indicators and to handle calculations in the correct way for placing money in the market. It really depends on what the client wants to achieve. The solutions drives them to excellence and allows them to have their business strategy aligned with their data strategy.

The most valuable feature is the semantic linguistic artificial intelligence that allows the user to have contact with the system in their natural language. In Microsoft word, for example, you write the rules that you need and the system codes that automatically. The user really gets an understanding of their data in a much easier way because they start querying it in natural language.