The main customers and use cases for Planning Analytics are large companies in the Czech Republic and Slovakia, typically with more than 2,000 employees.
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The main customers and use cases for Planning Analytics are large companies in the Czech Republic and Slovakia, typically with more than 2,000 employees.
The most valuable features of IBM Planning Analytics for streamlining planning processes include a unified database where all data are centralized, similar to Microsoft Excel but with the advantage of centralized data storage. Another essential feature is sandboxing, allowing extensive analysis and testing without affecting core data. Additionally, the workflow functionality enables locking and approval processes for calculations and formulas, providing enhanced management control and collaboration compared to Microsoft Azure.
To improve IBM Planning Analytics, adding predefined templates could be beneficial. These templates could cover various business areas like volume planning, service levels, and more. Specific templates for functions such as sourcing based on criteria like minimum order quantity and stock levels would also be helpful. Additionally, having templates for P&Ls and cash flow could enhance usability.
I have been using Planning Analytics for about a year.
I would rate the stability of IBM Planning Analytics as a nine out of ten.
The product is highly scalable. Our customers for IBM Planning Analytics are mainly large enterprise businesses, typically with two thousand employees or more.
I would rate IBM's technical support as a seven out of ten. They could be a little faster.
Neutral
Setting up IBM Planning Analytics can vary depending on client expectations and needs. For someone covering just one area, it might be relatively easy. I would rate the setup at around a six out of ten in terms of ease.
The deployment duration for IBM Planning Analytics varies greatly depending on each client's needs and complexity. It can range from a minimum of one month to a maximum of one year.
Customers see ROI with IBM Planning Analytics. It improves internal processes, reducing the need for extensive control departments and resulting in operational cost savings. More importantly, it enhances predictability in business and provides better insights into the potential impacts and implications of decisions.
The cost of IBM Planning Analytics is not cheap, considering the amount of money involved. However, it offers good ROI for customers.
IBM Planning Analytics is used for cross-departmental planning and forecasting by our customers. Different versions of the planning can be used, such as budgets and projections based on monthly results. The system keeps all historical data and tracks the development from projected numbers.
IBM Planning Analytics supports compliance and risk management within financial operations. It enables the calculation of impacts, such as increased interest rates, across various business areas. The effectiveness of risk management depends on the system setup and how risks are defined by the company.
In financial planning, IBM Planning Analytics aligns with current trends, including the use of AI and leveraging unstructured data. It is capable of handling large amounts of diverse data types. While it is unclear if IBM fully incorporates AI, it likely follows the trend as many companies do.
Before using Planning Analytics by IBM, consider your planning process and how it can be simplified. Understand that the system won't solve all issues on its own.
Overall, I would rate IBM Planning Analytics as a nine out of ten.
Our primary use case for the product involves supporting customers in constructing forecasting models within the Oracle Hyperion platform.
With this solution, logic, calculations, and other functionalities are centralized, eliminating reliance on specific personnel. Additionally, employees gain value from working with advanced products like Hyperion, enhancing their skill sets.
The cloud storage engine is the most valuable financial analysis feature, and it is highly powerful and has useful workflows.
They could support machine learning algorithms for the product. Such functionality would make operations easier for finance executives in the next five years. They are trying to edit the functions, but automation learning is moving at a fast pace. Oracle must quickly implement or provide these features as customers increasingly demand them. This is the biggest trend emerging from the customer side.
We have been using Oracle Hyperion for 15 years.
The stability of the on-premise versions is quite impressive.
We have more than 20 Oracle Hyperion users in our organization. It is a scalable product.
The initial setup is straightforward, particularly when working with a consultant company that has already explained its use case.
The deployment process typically starts with understanding customer requirements through a discovery phase. Once the scope and requirements are agreed upon, the solution is implemented. Data validation, especially for financial closure, is conducted to ensure accuracy. Finally, the solution is deployed to production.
The pricing model for the cloud setup is subscription-based, typically monthly. On the other hand, Oracle on-premise is user-based, meaning organizations pay upfront for an annual subscription, depending on the number of users they require. It might be considered relatively costly compared to some alternatives.
The platform's data integration is indeed powerful. We can collect data from various sources, which is very useful for budgeting and planning.
The impact on financial processes is significant. It dramatically reduces the time required. Without such solutions, financial consolidation or closure may take around ten days. However, with Oracle Hyperion, for instance, there are real use cases where customers can close their month or quarter within a maximum of five days.
One of the main challenges has been related to the requirements we receive from customers. Some of the features and functionalities they require are not available in the cloud version of Oracle Hyperion.
Besides recommending the product itself, it's crucial to emphasize the importance of aligning with a reputable consulting company with experience in multiple projects.
I rate the product an eight out of ten.
