The problem with Oracle Enterprise Performance Management Cloud is that they use Essbase, causing the volume of data to increase rapidly. My customer has been using it for five years, and the database has increased to two or three terabytes, which is too big. Oracle has a limit on the database for each customer, notifying that the maximum is only three terabytes, requiring me to back it up elsewhere. The use of Essbase results in rapid database growth, which is an issue I think Oracle needs to improve. While the functions in Oracle Enterprise Performance Management Cloud are good, when I create formulas in the dimensions and refresh the data after making new dimensions, elements, or formulas, it takes a long time. I think this performance issue might be due to the large dataset, but since the system is on the cloud, the performance is still poor.
Integration of more AI, IoT, and RPA-based automation and prediction features with the solution will be a great plus. Oracle is continuously investing efforts in this direction and new features are being released on a continuous basis.
The solution could improve its storage capabilities. On the cloud, additional security is required. They need to provide additional system algorithms, such as SHA-256, SHA-512 secure hash algorithms. Cipher needs to be encrypted even more strongly. The vulnerability processing needs to be much stronger. It needs to happen at a particular frequency to make it more effective. It shouldn't happen at regular intervals either. It has to happen with the inception of every single process. There needs to be a formal release sign-off. I insist that annual maintenance releases for the patches happen at the monthly or periodical levels, however, that has to happen at an even higher frequency to ensure security is maintained.
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The problem with Oracle Enterprise Performance Management Cloud is that they use Essbase, causing the volume of data to increase rapidly. My customer has been using it for five years, and the database has increased to two or three terabytes, which is too big. Oracle has a limit on the database for each customer, notifying that the maximum is only three terabytes, requiring me to back it up elsewhere. The use of Essbase results in rapid database growth, which is an issue I think Oracle needs to improve. While the functions in Oracle Enterprise Performance Management Cloud are good, when I create formulas in the dimensions and refresh the data after making new dimensions, elements, or formulas, it takes a long time. I think this performance issue might be due to the large dataset, but since the system is on the cloud, the performance is still poor.
Integration of more AI, IoT, and RPA-based automation and prediction features with the solution will be a great plus. Oracle is continuously investing efforts in this direction and new features are being released on a continuous basis.
The solution could improve its storage capabilities. On the cloud, additional security is required. They need to provide additional system algorithms, such as SHA-256, SHA-512 secure hash algorithms. Cipher needs to be encrypted even more strongly. The vulnerability processing needs to be much stronger. It needs to happen at a particular frequency to make it more effective. It shouldn't happen at regular intervals either. It has to happen with the inception of every single process. There needs to be a formal release sign-off. I insist that annual maintenance releases for the patches happen at the monthly or periodical levels, however, that has to happen at an even higher frequency to ensure security is maintained.