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.
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.
Data governance is the set of processes, policies, and technologies that ensure data quality, accuracy, and security throughout its lifecycle. Data governance tools help organizations implement and manage their data governance programs. These tools can automate many tasks involved in data governance, such as data discovery, classification, lineage, and quality assessment.
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.
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.