We do use the solution for business-critical processes. We have a lot of complex jobs. They are using multiple databases to connect to one master. We execute jobs on multiple databases. I'm currently working with Broadcom and have created a few alert mechanisms for bug alerts. When we find bugs and report them, we can get hard fixes applied. The solution's ability to handle large volumes of data is very good. I've been happy with it. We can improve so many things by 20% or more. It's a very costly product, and the client who is paying for it needs to see results, and so far, they are. The GUI interface is very good. It's user-friendly, even for new users. Within a few days, they can learn the solution. It's easy to learn and not overly complex. In one console, we can run multiple executions and manage the load balancer, et cetera. It's very easy now to manage complex workflows using this product. We can maximize agent performance. We can execute a large number of jobs. Compared to other tools, it's much more efficient. The visibility and control is excellent. The predictive modeling provided by AI is very good. We can implement fixes automatically as well. Its predictive modeling has been very critical. Jobs are executing on this and that is very important. Even if the master is down for an hour, the company can lose millions of dollars, so having that predictability is key to managing downtime in advance. We can reduce our job workload failure rates across multiple cloud environments. For example, if we have servers and we are installing agents in the master, we can create agents on multiple servers and we can execute jobs on both agents at one time. That way, if one server goes down, there is no disruption. The jobs will execute on the second agent - and no human interface is required for the task. We've been able to save time. Previously, we were dependent upon so many team members, and it would take one week to create one console or one tool. However, now, within three or four hours, we are creating one master and agents. We save six days. It's comprehensive - but we do have an audit feature. We have a separate audit team and in the tool itself, we have audit automation so we can run audits on a quarterly basis. Sometimes we have big queries and the data is massive and difficult to manage. However, with this product, we can schedule a job and, in three months, we can get a report directly without wasting time. It's safer in terms of audit requirements. With the tool, we've been able to save on operational costs. With other tools, we had difficulty with management, and there were so many dependencies on so many teams. With one console, we can create multiple agents that run on Oracle and have one point of control with multiple features. We can run the solution on both cloud and on-prem environments. We're 90% cloud currently. However, 10% is still left on-prem. Our plan is to move 100% to the cloud.
