IBM Planning Analytics and Oracle Hyperion compete in the enterprise planning solutions market. IBM Planning Analytics is favored for its user-friendly interface and cost-effectiveness, while Oracle Hyperion is preferred for its comprehensive analytics capabilities and extensive features.
Features: IBM Planning Analytics offers intuitive planning tools, predictive analytics, and flexibility in handling complex data sets. Oracle Hyperion provides an extensive suite of integrated applications, robust data management, and supports complex financial processes and reporting.
Room for Improvement: IBM Planning Analytics could enhance its data integration capabilities, improve its customer support responsiveness in complex cases, and expand its feature set for larger enterprises. Oracle Hyperion may benefit from simplifying its setup process, improving performance under heavy workload conditions, and updating its user interface for better user experience.
Ease of Deployment and Customer Service: IBM Planning Analytics offers a cloud-based solution that simplifies deployment and lowers infrastructure demands, providing quick resolution times in customer support. Oracle Hyperion's deployment involves both on-premise and hybrid cloud options, leading to a more complex setup but it compensates with a comprehensive support network for handling complex queries.
Pricing and ROI: IBM Planning Analytics is generally more cost-effective, with competitive pricing and a clear cost structure, leading to quicker ROI due to streamlined deployment. Oracle Hyperion, although requiring higher initial setup costs due to its complex infrastructure, offers significant long-term ROI for organizations leveraging its advanced capabilities.
Instead, we rely on third-party partners recognized by IBM, who provide cost-effective support.
We have a multi-level support system, with the initial level handled by the company we bought the license from and subsequent support from IBM.
Support is generally fast for Sev1 or Sev2 tickets but slower for lower-severity tickets.
The response time is not that good.
Scalability is straightforward but it is pricey since it's a SaaS model priced per user.
Scalability is quite hard to implement in TM1, largely since the on-premise installation chosen back in 2014.
A stable platform prevents loss of time during this process.
Cloud configurations have not exhibited issues like crashing or slowing down for significant data volumes.
We sometimes encounter bugs and need to connect with Oracle Support.
IBM's visualization needs significant improvement.
The abundance of features results in complexity, requiring strict guidelines for developers to ensure simplistic approaches are adhered to.
For example, a company with fifty users versus five hundred users should see better pricing.
The pricing model could be more flexible as it's more expensive than its competitors.
TM1 is quite expensive, and I'd rate the pricing as an eight out of ten.
While IBM's solutions were costly before, the introduction of SaaS models has reduced prices significantly.
The pricing model is on the higher side compared to its competitors.
It also integrates machine learning and AI engines, enabling us to use algorithms for inventory forecasting which optimizes our inventory and replenishment rates.
Its stability helps controllers win time in their planning processes.
It enables me to input data directly based on my security and business lines, with an inbuilt calculation engine for data aggregation and reporting.
The feature that allows automation of the budgeting and forecasting process is extremely valuable, especially when compared to Excel.
IBM Planning Analytics is an integrated planning solution that uses AI to automate planning, budgeting, and forecasting and drive more intelligent workflows.
Built on TM1, IBM’s powerful calculation engine, this enterprise performance management tool allows you to transcend the limits of manual planning and become the Analytics Hero your business needs. Quickly and easily drive faster, more accurate plans for FP&A, sales, supply chain and beyond.
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